Difference between revisions of "Database"
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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 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] | ||
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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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+ | * The following DSS documented in the WIKI are using a Database to identify and structure knowledge: | ||
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+ | {{#ask:[[Category:DSS]][[Has knowledge management processes.Has KM techniques to identify and structure knowledge ::Database]] | ||
+ | |?Has full name | ||
+ | |?Has spatial scale | ||
+ | |?Has input data format | ||
+ | |?Has input data requirements | ||
+ | |?Has output data format | ||
+ | |format=broadtable | ||
+ | |mainlabel=DSSs using a Database to identify and structure knowledge | ||
+ | |default=No DSSs in the WIKI currently supporting this task | ||
+ | |limit=20 | ||
+ | |offset=0 | ||
+ | }} | ||
[[Category:Knowledge Management techniques]] | [[Category:Knowledge Management techniques]] |
Latest revision as of 17:12, 17 April 2013
- 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.
- Other definitions: Search the web
- Examples of the application of Databases in forest management: Forest Resource Databases hosted by EFI; Database on Artificial Forests in the Tropics; FSC Certificate Database; Online Wood Industries Database; DB dei Piani di Assestamento Forestale del Trentino
- The following DSS documented in the WIKI are using a Database to identify and structure knowledge:
DSSs using a Database to identify and structure knowledge | Has full name | Has spatial scale | Has input data format | Has input data requirements | Has output data format |
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ClimChAlp | Webbased decision support system to explore adaptation options for silviculture in secondary Norway spruce forests in Austria | Stand level | |||
DSD | Decision Support Dobrova | Stand level | |||
EMDS | Ecosystem Management Decision Support System | Forest level Regional/national level Stand level | |||
PYL | GISCAME (former: Pimp your landscape - PYL) | Regional/national level |