Terminology Saturation Detection, Measurement and Use /
Kosa, Victoria.
Terminology Saturation Detection, Measurement and Use / [electronic resource] : by Victoria Kosa, Vadim Ermolayev. - 1st ed. 2022. - XXII, 177 p. 62 illus., 27 illus. in color. online resource. - Cognitive Science and Technology, 2195-3996 . - Cognitive Science and Technology, .
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.
9789811686306
10.1007/978-981-16-8630-6 doi
Computational intelligence.
Artificial intelligence.
Data mining.
Learning--Physiological aspects.
Memory--Physiological aspects.
Computational Intelligence.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Learning and Memory.
Q342
006.3
Terminology Saturation Detection, Measurement and Use / [electronic resource] : by Victoria Kosa, Vadim Ermolayev. - 1st ed. 2022. - XXII, 177 p. 62 illus., 27 illus. in color. online resource. - Cognitive Science and Technology, 2195-3996 . - Cognitive Science and Technology, .
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.
9789811686306
10.1007/978-981-16-8630-6 doi
Computational intelligence.
Artificial intelligence.
Data mining.
Learning--Physiological aspects.
Memory--Physiological aspects.
Computational Intelligence.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Learning and Memory.
Q342
006.3