Terminology Saturation

Detection, Measurement and Use

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Éditeur :

Springer


Paru le : 2022-02-16



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Description

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.
Pages
177 pages
Collection
n.c
Parution
2022-02-16
Marque
Springer
EAN papier
9789811686290
EAN PDF
9789811686306

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
17
Taille du fichier
5755 Ko
Prix
126,59 €
EAN EPUB
9789811686306

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
17
Taille du fichier
23521 Ko
Prix
126,59 €

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.?

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