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In data management, semantic warehousing is a methodology of digitalized text data using similar functions to Data warehousing (DW), such as ETL(Extract, transform, load), ODS(Operational data store), and MODEL. Key value operation is less useful for the digitalized text. Semantic warehousing is different from DW in that semantic information base from text(semantic) data. Semantic warehousing is different from search engine in that semantic information base from text data is stored in the database.(DBMS) Though data is most important word in computing era, it can not explain human knowledge well yet. Data(numeric data) is key element of computing systems for certain organization (especially companies, enterprises), but no performance oriented organization needs something to gather and use knowledge or human feeling. Semantic warehousing will be equally or more important than data warehousing in the future. ==Definition== Semantic warehousing is a conceptual and functional term meaning to gather from a source, semantically defining and providing information from digitalized text type data. 抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Semantic warehousing」の詳細全文を読む スポンサード リンク
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