翻訳と辞書 Words near each other ・ Known (software) ・ Known Associates ・ Known depredator ・ Knowledge Economic City, Medina ・ Knowledge Economic Index ・ Knowledge economy ・ Knowledge ecosystem ・ Knowledge encyclopædia ・ Knowledge engineer ・ Knowledge engineering ・ Knowledge Engineering and Machine Learning Group ・ Knowledge Engineering Environment ・ Knowledge enterprise ・ Knowledge entrepreneurship ・ Knowledge environment ・ Knowledge extraction ・ Knowledge Forum ・ Knowledge Fund ・ Knowledge gap hypothesis ・ Knowledge Generation Bureau ・ Knowledge Graph ・ Knowledge Index ・ Knowledge Inn Preparatory School ・ Knowledge Institute of Technology ・ Knowledge integration ・ Knowledge intensive business services ・ Knowledge Interchange Format ・ Knowledge Is King ・ Knowledge Is Power Program ・ Knowledge level Dictionary Lists mini英和辞書 mini和英辞書 Webster 1913 Latin-English FOLDOC Wikipedia English ウィキペディア

翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Knowledge extraction ： ウィキペディア英語版 Knowledge extraction Knowledge extraction is the creation of knowledge from structured (relational databases, XML) and unstructured (text, documents, images) sources. The resulting knowledge needs to be in a machine-readable and machine-interpretable format and must represent knowledge in a manner that facilitates inferencing. Although it is methodically similar to information extraction (NLP) and ETL (data warehouse), the main criteria is that the extraction result goes beyond the creation of structured information or the transformation into a relational schema. It requires either the reuse of existing formal knowledge (reusing identifiers or ontologies) or the generation of a schema based on the source data. The RDB2RDF W3C group 〔 is currently standardizing a language for extraction of RDF from relational databases. Another popular example for knowledge extraction is the transformation of Wikipedia into structured data and also the mapping to existing knowledge (see DBpedia and Freebase). ==Overview== After the standardization of knowledge representation languages such as RDF and OWL, much research has been conducted in the area, especially regarding transforming relational databases into RDF, identity resolution, knowledge discovery and ontology learning. The general process uses traditional methods from information extraction and extract, transform, and load (ETL), which transform the data from the sources into structured formats. The following criteria can be used to categorize approaches in this topic (some of them only account for extraction from relational databases):〔 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「Knowledge extraction」の詳細全文を読む スポンサード リンク 翻訳と辞書 : 翻訳のためのインターネットリソース Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.