翻訳と辞書 Words near each other ・ Taxoid 14beta-hydroxylase ・ Taxoid 7beta-hydroxylase ・ Taxome ・ Taxon ・ Taxon in disguise ・ Taxonomic contributions of Major P. H. G. Powell-Cotton ・ Taxonomic database ・ Taxonomic impediment ・ Taxonomic inflation ・ Taxonomic list of viruses ・ Taxonomic rank ・ Taxonomic sequence ・ Taxonomy ・ Taxonomy (biology) ・ Taxonomy (general) ・ Taxonomy for search engines ・ Taxonomy of Anopheles ・ Taxonomy of Banksia ・ Taxonomy of Banksia integrifolia ・ Taxonomy of Betula ・ Taxonomy of commonly fossilised invertebrates ・ Taxonomy of congestion control ・ Taxonomy of Croton ・ Taxonomy of Drosera ・ Taxonomy of invertebrates (Brusca & Brusca, 2003) ・ Taxonomy of lemurs ・ Taxonomy of Liliaceae ・ Taxonomy of Lucanidae ・ Taxonomy of Narcissus ・ Taxonomy of Nepenthes 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 Taxonomy for search engines ： ウィキペディア英語版 Taxonomy for search engines Taxonomy of entities for search engines are designed to improve relevance in vertical search. Taxonomies of entities are trees whose nodes are labelled with entities which expect to occur in a web search query. These trees are used to match keywords from search query with the keywords from answers (or snippets). Taxonomies, thesauri and concept hierarchies are crucial components for many applications of information retrieval, natural language processing and knowledge management. Building, tuning and managing taxonomies and ontologies is rather costly since a lot of manual operations are required. A number of studies proposed the automated building of taxonomies based on linguistic resources and/or statistical machine learning Web mining is one of the approach to build search engine taxonomies for web search. The taxonomy construction process starts from the seed entities and mines available source domains for new entities associated with these seed entities. New entities are formed by applying the machine learning to the current web search results for existing entities to form commonalities between them. These commonality expressions then form parameters of existing entities, and are turned into new entities at the next learning iteration ==References== 〔 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「Taxonomy for search engines」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.