Difference between revisions of "Knowledge Management tools"

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[[Category:Knowledge transfer]]
 
[[Category:Knowledge transfer]]
 
[[Category:Knowledge application]]
 
[[Category:Knowledge application]]
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== Description of potential KM tools ==
 
  
  
 
=== Avatar (virtual) ===
 
=== Avatar (virtual) ===
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* Description: An avatar is a computer user's representation of himself/herself or alter ego, whether in the form of a three-dimensional model used in computer games, or a two-dimensional icon (picture) used on Internet forums and other communities. An avatar is an image that a user chooses to represent himself in virtual communities, places of aggregation, discussion or online plays. The word, in Sanskrit and native of the Hindu tradition, means “incarnation”, exactly represents the assumption of a physical god’s body. In the Internet language, an Avatar is “the personage” that a real person chooses to appear to others people in the virtual world. This image, which may vary in theme and size (usually determined in advance by the regulations of virtual communities), can depict a fictional character (e.g. a cartoon, a comic), the reality (for example. vocalist or favourite actor), or even the most varied subjects, such as comic strips, text, and more. The place of greater use of avatars are the forums, instant messaging, and online role-playing games where it is customary to create an alter ego. Some sites asked to set up an avatar inspired by a particular theme to make it uniform to use in order to improve the sense of belonging to the virtual community. For example, the site of the Village of Ofelon requires an avatar of medieval inspiration, along with a nickname in the subject, tends to create a setting of knights of the Middle Ages.
 
* Description: An avatar is a computer user's representation of himself/herself or alter ego, whether in the form of a three-dimensional model used in computer games, or a two-dimensional icon (picture) used on Internet forums and other communities. An avatar is an image that a user chooses to represent himself in virtual communities, places of aggregation, discussion or online plays. The word, in Sanskrit and native of the Hindu tradition, means “incarnation”, exactly represents the assumption of a physical god’s body. In the Internet language, an Avatar is “the personage” that a real person chooses to appear to others people in the virtual world. This image, which may vary in theme and size (usually determined in advance by the regulations of virtual communities), can depict a fictional character (e.g. a cartoon, a comic), the reality (for example. vocalist or favourite actor), or even the most varied subjects, such as comic strips, text, and more. The place of greater use of avatars are the forums, instant messaging, and online role-playing games where it is customary to create an alter ego. Some sites asked to set up an avatar inspired by a particular theme to make it uniform to use in order to improve the sense of belonging to the virtual community. For example, the site of the Village of Ofelon requires an avatar of medieval inspiration, along with a nickname in the subject, tends to create a setting of knights of the Middle Ages.
  
 
* Other definitions: [http://www.google.at/search?hl=en&rlz=1R2SUNA_deAT331&q=define%3A+virtual+avatar&meta= Search the web]  
 
* Other definitions: [http://www.google.at/search?hl=en&rlz=1R2SUNA_deAT331&q=define%3A+virtual+avatar&meta= Search the web]  
  
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* Examples: [http://www.zukunftswald.de/page.php?katid=start Horst Förster in Zukunftswald], [http://www3.corpoforestale.it/flex/cm/pages/ServeBLOB.php/L/IT/IDPagina/239=start Corpo Forestale dello Stato and Second Life]
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* Examples for applications with Avatars: [http://www.zukunftswald.de/page.php?katid=start Horst Förster in Zukunftswald]; [http://www3.corpoforestale.it/flex/cm/pages/ServeBLOB.php/L/IT/IDPagina/239=start Corpo Forestale dello Stato and Second Life]; [http://www.esrl.noaa.gov/news/quarterly/summer2009/virtual_noaa.html Virtual NOAA in Second Life]
  
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* Examples for tools to develop Avatars:
  
 
=== Agents ===
 
=== Agents ===
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* Description:
 
* Description:
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*# In approach of Data Mining (DM): One of the most promising techniques for retrieving information from databases, especially external ones, is the use of intelligents.
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*# In the context of Data Mining (DM) agents are defined as: One of the most promising techniques for retrieving information from databases, especially external ones. The use of intelligent Agents is essential for that.
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*# In approach of Knowledge Management (KM): IAs are software systems that learn how users work and provide assistance in their daily tasks. Typically, they are used to find out and identify knowledge.  
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*# In the context of Knowledge Management (KM) agents are defined: IAs (Intelligent Agents) are software systems that learn how users work and provide assistance in their daily tasks. Typically, they are used to find out and identify knowledge.  
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*# In approach of Artificial Intelligence (AI) and Expert Systems (ES): IAs are small programs that reside on computers to conduct certain tasks automatically. An IA runs in the background, monitors the environment, and reacts to certain trigger conditions.  
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*# In the context of Artificial Intelligence (AI) and Expert Systems (ES): IAs (Intelligent Agents) are small programs that reside on computers to conduct certain tasks automatically. An IA runs in the background, monitors the environment, and reacts to certain trigger conditions. (Turban et al. 2008 )<ref> Efraim Turban, Jay E. Aronson, Ting-Peng Liang, Ramesh Sharda (2008): Decision Support and Business Intelligence Systems, Eighth Edition, Pearson International Edition</ref>
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(Source: Efraim Turban, Jay E. Aronson, Ting-Peng Liang, Ramesh Sharda: Decision Support and Business Intelligence Systems, Eighth Edition, Pearson International Edition)
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* Other definitions: [http://www.google.at/search?hl=en&rlz=1R2SUNA_deAT331&q=define%3A+intelligent+agent&meta= Search the web]  
 
* Other definitions: [http://www.google.at/search?hl=en&rlz=1R2SUNA_deAT331&q=define%3A+intelligent+agent&meta= Search the web]  
  
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* Examples: [http://www.rocketsoftware.com/products/epm - Gentia Enterprise Performance Management], [http://www.ibm.com - IBM: Intelligent Decision Server (IDS)]
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* Examples of the application of Agents in forest management:
  
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* Examples for tools for the development of Agents: [http://www.rocketsoftware.com/products/epm Gentia Enterprise Performance Management]; [http://www.ibm.com IBM: Intelligent Decision Server (IDS)]
  
 
=== Best practices and lessons learned ===
 
=== Best practices and lessons learned ===
 
* Description: Typically present the situation, the options, choices taken, and the results for a typical decision problem. Best practices are those attributes ( e.g., structures, disciplines, processes, controls, metrics, tools, and staffing qualifications) demonstrated to be effective guidelines for the successful management of diverse programs and projects. Lessons learned are experiences acquired in the execution of programs and projects which can provided value-added direction to the formulation and execution of future development and operational initiatives. They are widely used in natural resource management and can be extensively found on the internet. "Story telling" allow people to gain more understanding and have greater recall then they do from written reports. Stories can be used to capture lectures on a particular topic, to capture after action reports, to record difficult to codify tacit knowledge, and for many other purposes.   
 
* Description: Typically present the situation, the options, choices taken, and the results for a typical decision problem. Best practices are those attributes ( e.g., structures, disciplines, processes, controls, metrics, tools, and staffing qualifications) demonstrated to be effective guidelines for the successful management of diverse programs and projects. Lessons learned are experiences acquired in the execution of programs and projects which can provided value-added direction to the formulation and execution of future development and operational initiatives. They are widely used in natural resource management and can be extensively found on the internet. "Story telling" allow people to gain more understanding and have greater recall then they do from written reports. Stories can be used to capture lectures on a particular topic, to capture after action reports, to record difficult to codify tacit knowledge, and for many other purposes.   
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* Other definitions: [http://www.google.at/search?hl=de&rlz=1R2SUNA_deAT331&q=define%3A+lessons+learned&meta= Search the web]  
 
* Other definitions: [http://www.google.at/search?hl=de&rlz=1R2SUNA_deAT331&q=define%3A+lessons+learned&meta= Search the web]  
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* Examples: [http://www.fao.org/bestpractices/topics/topic5.jsp?lang=en=start FAO Best practices - Forest management and conservation], [http://www.nationalforests.org/conserve/resource American National Forest Foundation], [http://www.treecanada.ca/programs/urbanforestry/cufn/resources_bmp.html Compendium of Best Management Practices for Canadian Urban Forests], [http://www.idahoforests.org/bmp.htm Best Management Practices - Forest Stewardship Guidelines for Water Quality]
 
  
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* Examples for the application of best practices in forest management: [http://www.fao.org/bestpractices/topics/topic5.jsp?lang=en=start FAO Best practices - Forest management and conservation]; [http://www.nationalforests.org/conserve/resource American National Forest Foundation]; [http://www.treecanada.ca/programs/urbanforestry/cufn/resources_bmp.html Compendium of Best Management Practices for Canadian Urban Forests]; [http://www.idahoforests.org/bmp.htm Best Management Practices - Forest Stewardship Guidelines for Water Quality]; [http://www.esri.com/showcase/best-practices/index.html GIS Best Practices]; [http://www.reterurale.it/flex/cm/pages/ForumShow.php/L/IT/IDMSG/1736/BL/KnBhZ2VzL1NlcnZlQkxPQi5waHAvTC9JVC9JRFBhZ2luYS8yNjA0/HL/BLOB:ID%3D2604 Buone pratiche forestali in Italia]
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* Examples for tools/guidelines to develop best practices:
  
 
=== Community of practice ===
 
=== Community of practice ===
 
* Description:  Support groups of individuals with similar work responsibilities but who are not part of a formally designated work team. Many communities of practice communicate through a web-based system.
 
* Description:  Support groups of individuals with similar work responsibilities but who are not part of a formally designated work team. Many communities of practice communicate through a web-based system.
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* Other definitions: [http://www.google.at/search?hl=en&rlz=1R2SUNA_deAT331&q=define%3A+Community+of+practice&meta= Search the web]  
 
* Other definitions: [http://www.google.at/search?hl=en&rlz=1R2SUNA_deAT331&q=define%3A+Community+of+practice&meta= Search the web]  
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* Examples: [http://forestpolicy.typepad.com/ A COP on Forest Policy - Forest Practice ], [http://www.gofc-gold.uni-jena.de/sites/forestcop.php Community of Practice for Forest Observations], [http://www.fao.org/docrep/009/a0970e/a0970e09.htm Community of Practice on Forest Financing in Latin America]
 
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=== Web Content Management System ===
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* Examples for applications of COP's in forest management: [http://forestpolicy.typepad.com/ A COP on Forest Policy - Forest Practice ]; [http://www.gofc-gold.uni-jena.de/sites/forestcop.php Community of Practice for Forest Observations]; [http://www.fao.org/docrep/009/a0970e/a0970e09.htm Community of Practice on Forest Financing in Latin America]
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* Description: Abbreviated as CMS, a content management system, also called a Web management system, is software or a group or suite of applications and tools that enable an organization to seamlessly create, edit, review and publish electronic text. Many content management systems offer a Web-based GUI, enabling publishers to access the CMS online using only a Web browser. Also, a CMS designed for Web publishing will provide options and features to index and search documents and also specify keywords and other metadata for search engine crawlers. 
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* Other definitions: [http://www.google.at/search?hl=en&rlz=1R2SUNA_deAT331&q=define%3A+web+content+management+system&btnG= Search the web]  
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* Examples: [http://www.webcontentmanagement.it/CMS/lista_cms.html Web Content Management], [http://www.opencms.org/en/ OpenCMS]
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* Examples for tools to develope COP's:[http://phpwebsite.appstate.edu/ phpWebSite] provides a complete web site content management system for easy maintenance of interactive, community-driven web sites;
  
 
=== Content management sites (scientific) ===
 
=== Content management sites (scientific) ===
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* Description: Collects knowledge in some kind of web-based content management system. A Content Management System based portal or site first goal is the information service based on data and information in the adott environment. If we follow our basic knowledgements, we will get the next orientation: data (rough facts) -> information (conceived data) -> knowledge (inserted information into context). This means, that we can build a CMS portal only with basic informations and data. Not all of the people will be pleased with theese informations, but it cant be our goal. If we took the portal into strong basics, then there will evolve workgroups and communities ont he site. From this point the teamwork is much easier. Not all the users can use this website as a knowledge management system. A lot of people will see only a thematic portal, because they havent the minimal qualification for the adott specialty. The principal part of a portal is the forum and the surfaces, where the users can change information and craftsmanship. The everyday use of will decise, that the basic CMS system will be a KMS or not. The knowledge in a content management system is not only the words on the page. Instead, the knowledge is gained via users, the processes and opportunities used to capture organisational knowledge.
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* 1) Description from the application perspective:  
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A Content Management Site collects knowledge in some kind of web-based content management system (CMS). A CMS based portal or site first goal is the information service based on data and information in the adott environment. A CMS portal can only be build with basic information and data. This means, if we follow our basic understanding, we will get the next orientation: data (rough facts) -> information (conceived data) -> knowledge (inserted information into context). If we took the portal into strong basics, then it will evolve workgroups and communities on the site. From this point the teamwork is much easier. Not all the users can use this website as a knowledge management system. A lot of people will see only a thematic portal, because they haven't the minimal qualification for the adott specialty. The principal part of a portal is the forum and the surfaces, where the users can change information and craftsmanship. The everyday use of will decise, that the basic CMS system will be classified a KMS or a Community of knowledge (COP) or not. The knowledge in a content management system is not only the words on the page. Instead, the knowledge is gained via users, the processes and opportunities used to capture organisational knowledge. Other definitions: [http://www.google.at/search?hl=en&rlz=1R2SUNA_deAT331&q=define%3A+content+management+site&btnG= Search the web]
  
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* Other definitions: [http://www.google.at/search?hl=en&rlz=1R2SUNA_deAT331&q=define%3A+content+management+system&btnG= Search the web]  
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* 2) Description from the developer perspective:
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* Examples: [http://www.forestencyclopedia.net/ Forest Encyclopedia Network ], [http://www.sian.it/inventarioforestale/jsp/home.jsp Inventario Nazionale delle Foreste e dei Serbatoi Forestali di Carbonio]
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A content management system (CMS), also called a Web management system, is software or a group or suite of applications and tools that enable an organization to seamlessly create, edit, review and publish electronic text. Many content management systems offer a Web-based GUI, enabling publishers to access the CMS online using only a Web browser. Also, a CMS designed for Web publishing will provide options and features to index and search documents and also specify keywords and other metadata for search engine crawlers. Other definitions: [http://www.google.at/search?hl=en&rlz=1R2SUNA_deAT331&q=define%3A+content+management+system&btnG= Search the web]  
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* Examples of tools to develope a CMS: [http://www.webcontentmanagement.it/CMS/lista_cms.html Web Content Management]; [http://www.opencms.org/en/ OpenCMS]
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* Examples of CMS applications in forest management: [http://www.forestencyclopedia.net/ Forest Encyclopedia Network]; [http://www.sian.it/inventarioforestale/jsp/home.jsp Inventario Nazionale delle Foreste e dei Serbatoi Forestali di Carbonio]; [http://www.myscience.me.uk/ The Portal for Research and Innovation in UK]
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 +
=== Database ===
 +
* Description: A common way to organize original source material in a database structure. It is irrelevant whether the data is numeric or graphic or computer files. Web-based methods have been developed to manage database online. Data mining techniques are useful in retrieving information from huge databases – several techniques are developed in order to find appropriate results and quick solutions with efficient search algorithms. Database store raw data and we need data mining (DM), because of its help useful information can be gathered from data. When data are transformed into knowledge, DM is a significant step in this process.
  
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=== Database Management System (DBMS) ===
 
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* Description: A common way to organize original source material in a database structure. It is irrelevant whether the data is numeric or graphic or computer files. Web-based methods have been developed to manage database online. Data mining techniques are useful in retrieving information from huge databases – several techniques are developed in order to find appropriate results and quick solutions with efficient search algorithms. Database Management Systems store raw data and we need data mining (DM), because of its help useful information can be gathered from data. When data are transformed into knowledge, DM is a significant step in this process.
 
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* Other definitions: [http://www.google.at/search?hl=en&rlz=1R2SUNA_deAT331&q=define%3A+Database+Management+System&meta= Search the web]  
 
* Other definitions: [http://www.google.at/search?hl=en&rlz=1R2SUNA_deAT331&q=define%3A+Database+Management+System&meta= Search the web]  
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* Examples: [http://www.efi.int/portal/virtual_library/databases/ Forest Resource Databases hosted by EFI], [http://www.jifpro.or.jp/web-content/index-database.html, Database on Artificial Forests in the Tropics], [http://info.fsc.org/PublicCertificateSearch FSC Certificate Database], [http://faipariadatbazis.nyme.hu/index.php?wlang=en&page= Online Wood Industries Database]
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* Examples of the application of Databases in forest management: [http://www.efi.int/portal/virtual_library/databases/ Forest Resource Databases hosted by EFI]; [http://www.jifpro.or.jp/web-content/index-database.html Database on Artificial Forests in the Tropics]; [http://info.fsc.org/PublicCertificateSearch FSC Certificate Database]; [http://faipariadatbazis.nyme.hu/index.php?wlang=en&page= Online Wood Industries Database]; [http://www.ricercaforestale.it/modules.php?op=modload&name=PDA&file=index DB dei Piani di Assestamento Forestale del Trentino]
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* Examples of tools for the development of Databases:
  
 
=== Expert System (or [http://en.wikipedia.org/wiki/Knowledge-based_systems Knowledge-based system]) ===
 
=== Expert System (or [http://en.wikipedia.org/wiki/Knowledge-based_systems Knowledge-based system]) ===
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* Other definitions: [http://www.google.at/search?hl=de&rlz=1R2SUNA_deAT331&q=define%3A+Expert+System&meta= Search the web]  
 
* Other definitions: [http://www.google.at/search?hl=de&rlz=1R2SUNA_deAT331&q=define%3A+Expert+System&meta= Search the web]  
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* Examples: [http://www.myacquire.com/aiinc/pest/ Expert system on Douglas-fir Cone and Seed Insects ]; [http://en.wikipedia.org/wiki/NetWeaver_Developer NetWeaver], [http://www.myacquire.com/spvegman/expertsystem/ Expert System for Site Preparation and Vegetation Management in Southern Interior British Columbia], [http://www.nrs.fs.fed.us/tools/outcomes/ Outcomes], [http://www.nrs.fs.fed.us/tools/silvah/ SILVAH - Decision support for managers of Allegheny hardwood and mixed oak ecosystems]
 
  
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* Examples for the application of ES in forest management: [http://www.myacquire.com/aiinc/pest/ Expert system on Douglas-fir Cone and Seed Insects]; [http://www.myacquire.com/spvegman/expertsystem/ Expert System for Site Preparation and Vegetation Management in Southern Interior British Columbia]; [http://www.nrs.fs.fed.us/tools/outcomes/ Outcomes]; [http://www.nrs.fs.fed.us/tools/silvah/ SILVAH - Decision support for managers of Allegheny hardwood and mixed oak ecosystems]
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* Examples for tools to develop an ES:[http://en.wikipedia.org/wiki/NetWeaver_Developer NetWeaver];
  
 
=== Frequently asked questions ===
 
=== Frequently asked questions ===
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* Other definitions: [http://www.google.at/search?hl=en&rlz=1R2SUNA_deAT331&q=define%3A+Frequently+asked+questions&meta= Search the web]  
 
* Other definitions: [http://www.google.at/search?hl=en&rlz=1R2SUNA_deAT331&q=define%3A+Frequently+asked+questions&meta= Search the web]  
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* Examples: [http://www.forestry.gov.uk/forestry/infd-5vtlel  FAQ on Phytophthora kernoviae a fungus-like pathogen ], [http://www.epa.gov/sequestration/faq.html FAQ on Carbon Sequestration in Agriculture and Forestry], [http://www.rffi.org/Usal-management-faq.html FAQ on Usal Redwood Forest Management], [http://forestry.denr.gov.ph/faqs.htm FAQ to Forest Management Bureau of Republic of the Philippines], [http://cfs.nrcan.gc.ca/subsite/fnfp/fnfp-faq FAQ on First Canadian Nations Forestry Program]
 
  
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* Examples: [http://www.forestry.gov.uk/forestry/infd-5vtlel FAQ on Phytophthora kernoviae a fungus-like pathogen]; [http://www.epa.gov/sequestration/faq.html FAQ on Carbon Sequestration in Agriculture and Forestry]; [http://www.rffi.org/Usal-management-faq.html FAQ on Usal Redwood Forest Management]; [http://forestry.denr.gov.ph/faqs.htm FAQ to Forest Management Bureau of Republic of the Philippines]; [http://cfs.nrcan.gc.ca/subsite/fnfp/fnfp-faq FAQ on First Canadian Nations Forestry Program]
  
 
=== Knowledge management systems ===
 
=== Knowledge management systems ===
 
* Description: Network- or web-based systems for the entry, organization, storage, and '''sharing''' of knowledge in some knowledge domain.
 
* Description: Network- or web-based systems for the entry, organization, storage, and '''sharing''' of knowledge in some knowledge domain.
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* Other definitions: [http://www.google.at/search?hl=en&rlz=1R2SUNA_deAT331&q=define%3A+knowledge+management+system&meta= Search the web]  
 
* Other definitions: [http://www.google.at/search?hl=en&rlz=1R2SUNA_deAT331&q=define%3A+knowledge+management+system&meta= Search the web]  
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* Examples: [http://www.knowledgebase-script.com/ phpkb professional] ; [http://www.activecampaign.com/knowledge-management/ KnowledgeBuilder] ; [http://www.interspire.com/knowledgemanager/ Knowledge Manager] ; [http://www.younicycle.com/ Younicycle]
 
  
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* Examples: [http://www.knowledgebase-script.com/ phpkb professional]; [http://www.activecampaign.com/knowledge-management/ KnowledgeBuilder]; [http://www.interspire.com/knowledgemanager/ Knowledge Manager]; [http://www.younicycle.com/ Younicycle]
  
 
=== Knowledge map ([http://en.wikipedia.org/wiki/Cognitive_map cognitive maps, mind maps]) ===
 
=== Knowledge map ([http://en.wikipedia.org/wiki/Cognitive_map cognitive maps, mind maps]) ===
 
* Description: Establish a classification scheme called a taxonomy of knowledge, provide a frame of reference for many knowledge management products, and serve as a critical first step for identifying available knowledge. The more sophisticated versions of tools in this category include ontology editors.  
 
* Description: Establish a classification scheme called a taxonomy of knowledge, provide a frame of reference for many knowledge management products, and serve as a critical first step for identifying available knowledge. The more sophisticated versions of tools in this category include ontology editors.  
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* Other definitions: [http://www.google.at/search?hl=en&rlz=1R2SUNA_deAT331&q=define%3A+knowledge+map&meta= Search the web]  
 
* Other definitions: [http://www.google.at/search?hl=en&rlz=1R2SUNA_deAT331&q=define%3A+knowledge+map&meta= Search the web]  
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* Examples: [http://www.mindmanager.com/products/mindmanager-8-win/overview?lang=en_EU Mind Manager] ; [http://www.banxia.com/dexplore/index.html Decision Explorer] ; [http://compendium.open.ac.uk/institute/ Compendium] ; [http://freemind.sourceforge.net/wiki/index.php/Main_Page FreeMind] ; [http://wikkawiki.org/HomePage Wikka Software] ; [http://vue.tufts.edu/ VUE] ; [http://www.xmind.net/ XMind]; [http://www.topquadrant.com/products/TB_Composer.html TopBraid Composer] ; [http://protege.stanford.edu/ Protege] ; [http://cmap.ihmc.us/conceptmap.html/ CMAP]
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* Examples of the application of knowledge maps in forest management: [[KM_vocabularies | Forest-related keywording & ontology efforts]]
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* Examples of tools for the development of knowledge maps: [http://www.mindmanager.com/products/mindmanager-8-win/overview?lang=en_EU Mind Manager]; [http://www.banxia.com/dexplore/index.html Decision Explorer]; [http://compendium.open.ac.uk/institute/ Compendium]; [http://freemind.sourceforge.net/wiki/index.php/Main_Page FreeMind]; [http://wikkawiki.org/HomePage Wikka Software]; [http://vue.tufts.edu/ VUE]; [http://www.xmind.net/ XMind]; [http://www.topquadrant.com/products/TB_Composer.html TopBraid Composer]; [http://protege.stanford.edu/ Protege]; [http://cmap.ihmc.us/conceptmap.html/ CMAP]
  
 
=== Online Scientific Journals ===
 
=== Online Scientific Journals ===
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* Other definitions: [http://www.google.at/search?hl=de&rlz=1R2SUNA_deAT331&q=define%3A+Scientific+Journal&meta= Search the web]  
 
* Other definitions: [http://www.google.at/search?hl=de&rlz=1R2SUNA_deAT331&q=define%3A+Scientific+Journal&meta= Search the web]  
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* Examples: [http://www.scopus.com/search/form.url SCOPUS ]; [http://www.scirus.com SCIRUS ]; [http://forestry.oxfordjournals.org/current.dtl Forestry - an International Journal of Forest Research]; [http://pubs.nrc-cnrc.gc.ca/rp-ps/inDetail.jsp?jcode=cjfr&vol=39&is=12&lang=eng Canadian Journal of Forest Research]; [http://www.sciencedirect.com/science/journal/03781127 Forest Ecology and Management]; [http://www.sisef.it/iforest/ iForest]; [http://www.sisef.it/forest@/ Forest@]; [http://thomsonreuters.com/products_services/science/science_products/a-z/web_of_science ]WebOfScience]
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* Examples: [http://www.scopus.com/search/form.url SCOPUS]; [http://www.scirus.com SCIRUS]; [http://forestry.oxfordjournals.org/current.dtl Forestry - an International Journal of Forest Research]; [http://pubs.nrc-cnrc.gc.ca/rp-ps/inDetail.jsp?jcode=cjfr&vol=39&is=12&lang=eng Canadian Journal of Forest Research]; [http://www.sisef.it/iforest/ iForest]; [http://www.sisef.it/forest@/ Forest@]; [http://thomsonreuters.com/products_services/science/science_products/a-z/web_of_science WebOfScience]
  
 
=== Simulation systems [http://en.wikipedia.org/wiki/Simulation_software more] ===
 
=== Simulation systems [http://en.wikipedia.org/wiki/Simulation_software more] ===
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* Other definitions: [http://www.google.at/search?hl=de&rlz=1R2SUNA_deAT331&q=define%3A+knowledge+map&meta= Search the web]  
 
* Other definitions: [http://www.google.at/search?hl=de&rlz=1R2SUNA_deAT331&q=define%3A+knowledge+map&meta= Search the web]  
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* Examples: [http://en.wikipedia.org/wiki/Stella_(software) Stella]; [http://www.fs.fed.us/rm/missoula/4151/SIMPPLLE/ Simulating Patterns and Processes at Landscape Scales (SIMPPLLE)], [http://ddc.hampshire.edu/simforest/index.html Forest Simulator], [http://www.worldagroforestry.org/SEA/Products/AFModels/SExI/index.htm SExI Forest Simulator]
 
  
 +
* Examples of applications of Simulation systems and models in forest management:[http://www.fs.fed.us/rm/missoula/4151/SIMPPLLE/ Simulating Patterns and Processes at Landscape Scales (SIMPPLLE)]; [http://www.fs.fed.us/fmsc/fvs/index.shtml SExI Forest Vegetation Simulator]
  
−
=== Yellow-page directories ===  
+
* Examples of tools for the development of Simulation systems and models: [http://en.wikipedia.org/wiki/Stella_(software) Stella];
 +
 
 +
=== Social Network ===  
 
* Description: Aid in finding hard-to-access tacit knowledge resources by providing access to experts. They also organize existing web sites and serve up a variety of explicit knowledge assets in understandable ways.     
 
* Description: Aid in finding hard-to-access tacit knowledge resources by providing access to experts. They also organize existing web sites and serve up a variety of explicit knowledge assets in understandable ways.     
 +
 
* Other definitions: [http://www.google.at/search?hl=en&rlz=1R2SUNA_deAT331&q=define%3A+Yellow+Pages&meta= Search the web]  
 
* Other definitions: [http://www.google.at/search?hl=en&rlz=1R2SUNA_deAT331&q=define%3A+Yellow+Pages&meta= Search the web]  
−
* Examples: [http://www.facebook.com/ Facebook]; [http://www.xing.com/ XING]
 
  
 +
* Examples for the application of online Social Networks: [http://www.facebook.com/ Facebook]; [http://www.xing.com/ XING]; [http://hi5.com/ hi5]
 +
 +
* Examples of tools for the development of Social Networks:
 +
 +
=== Yellow-page directories ===
 +
* Description: The term Yellow Pages refers to a telephone directory of businesses, categorized according to the product or service provided. As the name suggests, such directories were originally printed on yellow paper, as opposed to white pages for non-commercial listings. The traditional term Yellow Pages is now also applied to online directories of businesses. 
 +
 +
* Other definitions: [http://www.google.at/search?hl=en&rlz=1R2SUNA_deAT331&q=define%3A+Yellow+Pages&meta= Search the web]
 +
 +
* Examples: [http://www.yellowpages.com/ Yellow Pages]; [http://www.paginegialle.it/ Pagine Gialle]
  
 
=== Wiki ===
 
=== Wiki ===
 
* Description: Free-content information collaboratories allow to create and distribute free information content, e.g., encyclopedias, wiki. Articles are edited by volunteers and are subject to change by nearly anyone. They cover a wide range of topics, but lack the authority of traditional materials and lack the chance of a quality control regarding the content.
 
* Description: Free-content information collaboratories allow to create and distribute free information content, e.g., encyclopedias, wiki. Articles are edited by volunteers and are subject to change by nearly anyone. They cover a wide range of topics, but lack the authority of traditional materials and lack the chance of a quality control regarding the content.
 +
 
* Other definitions: [http://www.google.at/search?hl=en&rlz=1R2SUNA_deAT331&q=define%3A+wiki&meta= Search the web]  
 
* Other definitions: [http://www.google.at/search?hl=en&rlz=1R2SUNA_deAT331&q=define%3A+wiki&meta= Search the web]  
 +
 
* Examples: [http://en.wikipedia.org/wiki/Main_Page Wikipedia ]
 
* Examples: [http://en.wikipedia.org/wiki/Main_Page Wikipedia ]
−
 
  
 
=== Web portal ===
 
=== Web portal ===
 
* Description: Provide links to many other sites that can either be accessed directly or can be found by following an organized sequence of related categories. The provider of a web portal is responsible for structuring and filtering of web-addresses relating to a special theme.     
 
* Description: Provide links to many other sites that can either be accessed directly or can be found by following an organized sequence of related categories. The provider of a web portal is responsible for structuring and filtering of web-addresses relating to a special theme.     
 +
 
* Other definitions: [http://www.google.at/search?hl=en&rlz=1R2SUNA_deAT331&q=define%3A+Web+Portal&meta= Search the web]  
 
* Other definitions: [http://www.google.at/search?hl=en&rlz=1R2SUNA_deAT331&q=define%3A+Web+Portal&meta= Search the web]  
−
* Examples: [http://www.fs.fed.us/ The Web Portal of the Forest Service of the U.S. Department of Agriculture]; [http://www.institute.redlands.edu/sds/ Spatial Decision Support Knowledge Portal]; [http://forestportal.efi.int/ Euroforest Portal]; [http://forests.org/ Forest Protection Portal]; [http://www.forestcarbonportal.com/ Forest Carbon Portal]; [http://www.forestclusterportal.fi/index.php/Main_Page Finnish Forest Cluster Portal]; [http://www.ricercaforestale.it The Italian web portal of the forest sector; [http://www.forestry.ie/ Forestry Portal for the Irish Forest Industry]
+
 
 +
* Examples of web portal applications in forest management: [http://www.fs.fed.us/ The Web Portal of the Forest Service of the U.S. Department of Agriculture]; [http://www.institute.redlands.edu/sds/ Spatial Decision Support Knowledge Portal]; [http://forestportal.efi.int/ Euroforest Portal]; [http://forests.org/ Forest Protection Portal]; [http://www.forestcarbonportal.com/ Forest Carbon Portal]; [http://www.forestclusterportal.fi/index.php/Main_Page Finnish Forest Cluster Portal]; [http://www.ricercaforestale.it The Italian web portal of the forest sector]; [http://www.forestry.ie/ Forestry Portal for the Irish Forest Industry]; [http://www.woodnet.com/fr/home.asp The Belgian Web Portal Woodnet]; [http://cartographie.wallonie.be/NewPortailCarto/ The Walloon WebGIS Portal]
  
 
=== Workflow Systems  ===
 
=== Workflow Systems  ===
 +
* Description: With Workflow Systems (WFS) we can support standardized business processes. The WFS determine the information flow. The aim of WFS is to build the optimal process steps to persons in the right place for the specified task. A WFS has knowledge for processes: set of skills for the task, rules how should be work, guidelines, path of the information, etc. With other tools (Database Management Systems, Content Management Systems), WFS can contain additional knowledge, for example governmental and industrial standards.
  
−
* Description: With Workflow Systems (WFS) we can support standardized business processes. The WFS determine the information flow. The aim of WFS is to build the optimal process steps to persons in the right place for the specified task. A WFS has knowledge for processes: set of skills for the task, rules how should be work, guidelines, path of the information, etc. With other tools (Database Management Systems, Content Management Systems), WFS can contain additional knowledge, for example governmental and industrial standards.
 
 
* Other definitions: [http://www.google.at/search?hl=en&rlz=1R2SUNA_deAT331&q=define%3A+workflow+systems&meta= Search the web]  
 
* Other definitions: [http://www.google.at/search?hl=en&rlz=1R2SUNA_deAT331&q=define%3A+workflow+systems&meta= Search the web]  
−
* Examples: [http://www.ids-scheer.com/en/ARIS_ARIS_Platform/3730.html  ARIS platform ]
 
  
−
=== other tools ===
+
* Examples: [http://www.ids-scheer.com/en/ARIS_ARIS_Platform/3730.html ARIS platform]; [http://research.microsoft.com/en-us/collaboration/tools/trident.aspx Project Trident]
  
 +
=== Other tools ===
 
* Description:  
 
* Description:  
 
    
 
    
Line 132: Line 159:
 
* Examples: [http://  ]
 
* Examples: [http://  ]
  
−
== Classification of potential KM tools ==
+
=== References ===
−
 
+
−
==== Criteria to classify KM tools ====
+
−
 
+
−
 
+
−
KM approaches for Problem identification
+
−
*Allow a documentation in order to transfer knowledge to next generation
+
−
* encourage decision makers to discover new problems and opportunities by exposing themselves to new information, situations, issues, and ideas
+
−
* help decision makers in recognizing upcoming problems for which solutions have been developed previously
+
−
 
+
−
KM approaches for Problem structuring / modelling
+
−
* allow to actively create new knowledge when faced with a new problem and to develop novel solutions
+
−
* Allow to identify expert knowledge, facts and experiences in relation to decision problem
+
−
* Allow to codify available knowledge for machine / computer
+
−
* allow to reduce complexity
+
−
* support the engagement/involvement of experts
+
−
* allow to combine various forms of information (qualitative / quantitative)
+
−
 
+
−
KM approaches for Problem solving / decision making
+
−
* Allow to capture and retain knowledge, making it available to decision makers who are seeking solutions from previously solved problems
+
−
* facilitate decisions that are reproducable
+
−
* facilitate a rationale decision making process
+
−
* improve decision making ability
+
−
* increase productivity of decision maker (within cognitive, time and economic limits - effective and efficient decisions)
+
−
* support decision-making phases
+
−
** development (e.g. identify or analyze alternatives)
+
−
** selection (e.g. advice about which alternative to choose)
+
−
 
+
−
Criteria according to the decision problem
+
−
*Decision situation (unilateral, collegial, participatory)
+
−
* Level of planning (operational, tactical, strategic planning)
+
−
* Challenges / key problems in forestry domain?
+
−
* Which goods and services are supported?
+
−
Criteria according to stakeholders / users /organisations
+
−
* allow participation (active / passive)
+
−
* Technical skills of users required
+
−
* Level of acceptance of users in terms of usability, reliability, easyness,…
+
−
* Kind of introduction of the tool to users
+
−
* Role of stakeholder within the process (expert, decision maker, public)
+
−
* Who owns the knowledge in organizations? How to make use of the knowledge available? Who coordinates knowledge?
+
−
* Type of organization (public bodies, forest enterprises,…)
+
−
* To whom give access to information / knowledge (skill, commercial , privacy)
+
−
* Data mining of private enterprises (CRM?) of relevance
+
−
 
+
−
Criteria for development issues - technical aspects
+
−
* Allows to generate interfaces between tools/techniques
+
−
* Allows a definition of interfaces between methods and models
+
−
* Rules for selecting information (in hierarchical decision making processes, robustness, reliability, …)
+
−
* allows to be adapted to new challenges, problems are they flexible enough?
+
−
 
+
−
==== Classification of KM tools according to problem solving ====
+
−
 
+
−
Gray's classification <ref> Peter H. Gray, A problem-solving perspective on knowledge management practices, Decision Support Systems, Volume 31, Issue 1, May 2001, Pages 87-102. [http://dx.doi.org/10.1016/S0167-9236(00)00121-4 Available here]</ref>
+
−
recognizes different types of managing knowledge with regards action motivations in two different types of problems. The motivation can either be ''problem identification'' or ''problem solving'', and the problem can be either ''unique/new'' or ''previously solved''. Combining these in 2*2 matrix shows us four types of KM: (1) '''Discovering new issues''', (2) '''Creating knowledge''', (3) '''Acquiring knowledge''', and (4) '''Raising awareness'''. Shifting between these ascendingly can be seen as (a) ''identifying'', (b) ''preserving/storing'', and (c) ''distributing/transferring'' knowledge (see Fig. 1 below).
+
−
 
+
−
[[File:Gray_redrawn.png]]
+
−
 
+
−
'''Fig. 1.''' Knowledge management types within decision problems after Gray (2003).
+
−
 
+
−
====  Table for the Classification of KM tools  ====
+
−
 
+
−
{| border ="1"
+
−
!Tool !! Classification 1 !! Classification 2
+
−
|-
+
−
|Knowledge maps || || 
+
−
|-
+
−
|Databases || ||
+
−
|-
+
−
|Expert systems || ||
+
−
|-
+
−
|Free-content information collaboratories || ||
+
−
|-
+
−
|Web portals || ||
+
−
|-
+
−
|Electronic yellow-page directories || ||
+
−
|-
+
−
|Communities of practice || ||
+
−
|-
+
−
|Frequently asked questions || ||
+
−
|-
+
−
|Scientific content management sites || ||
+
−
|-
+
−
|Online scientific journals || ||
+
−
|-
+
−
|Library services || ||
+
−
|-
+
−
|Best practices and lessons learned || ||
+
−
|-
+
−
|Lectures and story telling || ||
+
−
|-
+
−
|Apprenticeship programs || ||
+
−
|-
+
−
|Web-based learning || ||
+
−
|-
+
−
|Simulation models || ||
+
−
|}
+
−
 
+
−
 
+
−
Other options to classify...
+
−
== References ==
+
  
 
<div style="-moz-column-count:4">
 
<div style="-moz-column-count:4">
 
<references/></div>
 
<references/></div>

Latest revision as of 21:02, 12 February 2011

Knowledge Management tools for forest management DSS's


Avatar (virtual)

  • Description: An avatar is a computer user's representation of himself/herself or alter ego, whether in the form of a three-dimensional model used in computer games, or a two-dimensional icon (picture) used on Internet forums and other communities. An avatar is an image that a user chooses to represent himself in virtual communities, places of aggregation, discussion or online plays. The word, in Sanskrit and native of the Hindu tradition, means “incarnation”, exactly represents the assumption of a physical god’s body. In the Internet language, an Avatar is “the personage” that a real person chooses to appear to others people in the virtual world. This image, which may vary in theme and size (usually determined in advance by the regulations of virtual communities), can depict a fictional character (e.g. a cartoon, a comic), the reality (for example. vocalist or favourite actor), or even the most varied subjects, such as comic strips, text, and more. The place of greater use of avatars are the forums, instant messaging, and online role-playing games where it is customary to create an alter ego. Some sites asked to set up an avatar inspired by a particular theme to make it uniform to use in order to improve the sense of belonging to the virtual community. For example, the site of the Village of Ofelon requires an avatar of medieval inspiration, along with a nickname in the subject, tends to create a setting of knights of the Middle Ages.
  • Examples for tools to develop Avatars:

Agents

  • Description:
    1. In the context of Data Mining (DM) agents are defined as: One of the most promising techniques for retrieving information from databases, especially external ones. The use of intelligent Agents is essential for that.
    2. In the context of Knowledge Management (KM) agents are defined: IAs (Intelligent Agents) are software systems that learn how users work and provide assistance in their daily tasks. Typically, they are used to find out and identify knowledge.
    3. In the context of Artificial Intelligence (AI) and Expert Systems (ES): IAs (Intelligent Agents) are small programs that reside on computers to conduct certain tasks automatically. An IA runs in the background, monitors the environment, and reacts to certain trigger conditions. (Turban et al. 2008 )[1]
  • Examples of the application of Agents in forest management:

Best practices and lessons learned

  • Description: Typically present the situation, the options, choices taken, and the results for a typical decision problem. Best practices are those attributes ( e.g., structures, disciplines, processes, controls, metrics, tools, and staffing qualifications) demonstrated to be effective guidelines for the successful management of diverse programs and projects. Lessons learned are experiences acquired in the execution of programs and projects which can provided value-added direction to the formulation and execution of future development and operational initiatives. They are widely used in natural resource management and can be extensively found on the internet. "Story telling" allow people to gain more understanding and have greater recall then they do from written reports. Stories can be used to capture lectures on a particular topic, to capture after action reports, to record difficult to codify tacit knowledge, and for many other purposes.
  • Examples for tools/guidelines to develop best practices:

Community of practice

  • Description: Support groups of individuals with similar work responsibilities but who are not part of a formally designated work team. Many communities of practice communicate through a web-based system.
  • Examples for tools to develope COP's:phpWebSite provides a complete web site content management system for easy maintenance of interactive, community-driven web sites;

Content management sites (scientific)

  • 1) Description from the application perspective:

A Content Management Site collects knowledge in some kind of web-based content management system (CMS). A CMS based portal or site first goal is the information service based on data and information in the adott environment. A CMS portal can only be build with basic information and data. This means, if we follow our basic understanding, we will get the next orientation: data (rough facts) -> information (conceived data) -> knowledge (inserted information into context). If we took the portal into strong basics, then it will evolve workgroups and communities on the site. From this point the teamwork is much easier. Not all the users can use this website as a knowledge management system. A lot of people will see only a thematic portal, because they haven't the minimal qualification for the adott specialty. The principal part of a portal is the forum and the surfaces, where the users can change information and craftsmanship. The everyday use of will decise, that the basic CMS system will be classified a KMS or a Community of knowledge (COP) or not. The knowledge in a content management system is not only the words on the page. Instead, the knowledge is gained via users, the processes and opportunities used to capture organisational knowledge. Other definitions: Search the web

  • 2) Description from the developer perspective:

A content management system (CMS), also called a Web management system, is software or a group or suite of applications and tools that enable an organization to seamlessly create, edit, review and publish electronic text. Many content management systems offer a Web-based GUI, enabling publishers to access the CMS online using only a Web browser. Also, a CMS designed for Web publishing will provide options and features to index and search documents and also specify keywords and other metadata for search engine crawlers. Other definitions: Search the web

Database

  • Description: A common way to organize original source material in a database structure. It is irrelevant whether the data is numeric or graphic or computer files. Web-based methods have been developed to manage database online. Data mining techniques are useful in retrieving information from huge databases – several techniques are developed in order to find appropriate results and quick solutions with efficient search algorithms. Database store raw data and we need data mining (DM), because of its help useful information can be gathered from data. When data are transformed into knowledge, DM is a significant step in this process.
  • Examples of tools for the development of Databases:

Expert System (or Knowledge-based system)

  • Description: Expert systems are designed in such a way that a rulebase and an inference engine are interlinked to simulate the reasoning process that a human expert pursues in analyzing a problem and arriving at a conclusion. In these systems a vast amount of knowledge is stored in the knowledge base. The knowledge base could consist of "if then" statements that resemble the sequence of mental steps that are involved in the human reasoning process.
  • Examples for tools to develop an ES:NetWeaver;

Frequently asked questions

  • Description: In the course of performing a job, people naturally identify questions that their coworkers or their clients ask repeatedly. It is worthwhile to document and develop useful and standardized answers for these types of repetitive questions. Web-based systems also exist that specialize in the management of these questions (e.g., knowledge management systems, below).

Knowledge management systems

  • Description: Network- or web-based systems for the entry, organization, storage, and sharing of knowledge in some knowledge domain.

Knowledge map (cognitive maps, mind maps)

  • Description: Establish a classification scheme called a taxonomy of knowledge, provide a frame of reference for many knowledge management products, and serve as a critical first step for identifying available knowledge. The more sophisticated versions of tools in this category include ontology editors.

Online Scientific Journals

  • Description: Managing and making accessible published books and scientific journal articles has long been the province of science libraries. These services are also available on the internet either free of charge. More and more scientific journals have placed all or part of the content of their original research articles online. Search engines allow to find relevant articles and the number of citations refering to them.

Simulation systems more

  • Description: Are a popular way to organize specific problem solving knowledge and provide precise, quantitative answers to guide natural resource managers. Most such models have not yet been converted to execute over the internet, however, many simulation models can be downloaded from the internet and then executed on a stand-alone computer.
  • Examples of tools for the development of Simulation systems and models: Stella;

Social Network

  • Description: Aid in finding hard-to-access tacit knowledge resources by providing access to experts. They also organize existing web sites and serve up a variety of explicit knowledge assets in understandable ways.
  • Examples for the application of online Social Networks: Facebook; XING; hi5
  • Examples of tools for the development of Social Networks:

Yellow-page directories

  • Description: The term Yellow Pages refers to a telephone directory of businesses, categorized according to the product or service provided. As the name suggests, such directories were originally printed on yellow paper, as opposed to white pages for non-commercial listings. The traditional term Yellow Pages is now also applied to online directories of businesses.

Wiki

  • Description: Free-content information collaboratories allow to create and distribute free information content, e.g., encyclopedias, wiki. Articles are edited by volunteers and are subject to change by nearly anyone. They cover a wide range of topics, but lack the authority of traditional materials and lack the chance of a quality control regarding the content.

Web portal

  • Description: Provide links to many other sites that can either be accessed directly or can be found by following an organized sequence of related categories. The provider of a web portal is responsible for structuring and filtering of web-addresses relating to a special theme.

Workflow Systems

  • Description: With Workflow Systems (WFS) we can support standardized business processes. The WFS determine the information flow. The aim of WFS is to build the optimal process steps to persons in the right place for the specified task. A WFS has knowledge for processes: set of skills for the task, rules how should be work, guidelines, path of the information, etc. With other tools (Database Management Systems, Content Management Systems), WFS can contain additional knowledge, for example governmental and industrial standards.

Other tools

  • Description:
  • Examples: [http:// ]

References

  1. ↑ Efraim Turban, Jay E. Aronson, Ting-Peng Liang, Ramesh Sharda (2008): Decision Support and Business Intelligence Systems, Eighth Edition, Pearson International Edition
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