OPAC

Terminology Saturation : Detection, Measurement and Use / by Victoria Kosa, Vadim Ermolayev
(Cognitive Science and Technology. ISSN:21953996)

データ種別	電子ブック
版	1st ed. 2022.
出版者	(Singapore : Springer Nature Singapore : Imprint: Springer)
出版年	2022
大きさ	XXII, 177 p. 62 illus., 27 illus. in color : online resource
著者標目	*Kosa, Victoria author Ermolayev, Vadim author SpringerLink (Online service)

URL	巻　次	配架場所	請求記号	登録番号	コメント	刷　年	状　態	利用注記	ISBN	予約	請求メモ
URL		射水-電子	007	EB0003052	Computer Scinece R0 2005-6,2022-3				9789811686306

一般注記	1. Introduction -- 2. Representativeness Challenge in Ontology Engineering -- 3. The Phenomenon of Saturation -- 4. The Structure of the Book -- 5. Related Work This book highlights an innovative approach for extracting terminological cores from subject domain-bounded collections of professional texts. The approach is based on exploiting the phenomenon of terminological saturation. The book presents the formal framework for the method of detecting and measuring terminological saturation as a successive approximation process. It further offers the suite of the algorithms that implement the method in the software and comprehensively evaluates all the aspects of the method and possible input configurations in the experiments on synthetic and real collections of texts in several subject domains. The book demonstrates the use of the developed method and software pipeline in industrial and academic use cases. It also outlines the potential benefits of the method for the adoption in industry HTTP:URL=https://doi.org/10.1007/978-981-16-8630-6
件　名	LCSH:Computational intelligence LCSH:Artificial intelligence LCSH:Data mining LCSH:Learning -- Physiological aspects 全ての件名で検索 LCSH:Memory -- Physiological aspects 全ての件名で検索 FREE:Computational Intelligence FREE:Artificial Intelligence FREE:Data Mining and Knowledge Discovery FREE:Learning and Memory
分　類	LCC:Q342 DC23:006.3
書誌ID	EB00002440
ISBN	9789811686306