Learning Ontology Relations by Combining Corpus-Based Techniques and Reasoning on Data from Semantic Web Sources

The manual construction of formal domain conceptualizations (ontologies) is labor-intensive. Ontology learning, by contrast, provides (semi-)automatic ontology generation from input data such as domain text. This thesis proposes a novel approach for learning labels of non-taxonomic ontology relation...

詳細記述

書誌詳細

第一著者:	Wohlgenannt, Gerhard
フォーマット:	Online
言語:	英語
出版事項:	Peter Lang International Academic Publishers 2021
主題:	Based Combining Corpus Data from Learning machine learning natural language learning Ontology Reasoning relation labeling Relations Semantic Sources Techniques Wohlgenannt thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics::UBJ Digital and information technologies: social and ethical aspects thema EDItEUR::U Computing and Information Technology::UF Business applications::UFL Enterprise software
オンライン･アクセス:	1003170
タグ:	タグ追加 タグなし, このレコードへの初めてのタグを付けませんか!