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Terminology Saturation: Detection, Measurement and Use: Cognitive Science and Technology

Autor Victoria Kosa, Vadim Ermolayev
en Limba Engleză Hardback – 17 feb 2022
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.
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Specificații

ISBN-13: 9789811686290
ISBN-10: 9811686297
Pagini: 177
Ilustrații: XXII, 177 p. 62 illus., 27 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.46 kg
Ediția:1st ed. 2022
Editura: Springer Nature Singapore
Colecția Springer
Seria Cognitive Science and Technology

Locul publicării:Singapore, Singapore

Cuprins

1. Introduction.- 2. Representativeness Challenge in Ontology Engineering.- 3. The Phenomenon of Saturation.- 4. The Structure of the Book.- 5. Related Work.

Notă biografică

Victoria has recently defended her Ph.D. with the thesis entitled "A Method of Experimental Study of Terminological Saturation in Document Collections for Knowledge Elicitation" at the department of Computer Science of Zaporizhzhia National University (Ukraine). She is currently a self-employed researcher involved in an industrial consulting project with GroupBWT LLC. Her professional interests and competence are within the fields of Automated Terminology Recognition and Ontology Engineering.
Vadim is an associate professor at the Department of Computer Science of Zaporizhzhia National University (Ukraine). He is also the lead of Intelligent Systems Research Group. Throughout his career, he combines academic activities with different professional engagements in industry (as a research consultant) and public international organizations (as an expert) in knowledge and ontology engineering, semantic technologies, intelligent software systems, distributed artificial intelligence. A particular research topic that he focuses on in his research is capturing the dynamics and adaptability of real world in intelligent artefacts. His current research interests are within ontology engineering, ontology learning, and text mining.​

Textul de pe ultima copertă

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.

Caracteristici

Highlights an innovative approach for extracting terminological cores Presents a formal framework for detecting and measuring terminological saturation Discusses the potential benefits of the method for the adoption in industry