Terminology Saturation (eBook)
XXII, 177 Seiten
Springer Singapore (Verlag)
978-981-16-8630-6 (ISBN)
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.
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.?
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.
| Erscheint lt. Verlag | 16.2.2022 |
|---|---|
| Reihe/Serie | Cognitive Science and Technology | Cognitive Science and Technology |
| Zusatzinfo | XXII, 177 p. 62 illus., 27 illus. in color. |
| Sprache | englisch |
| Themenwelt | Geisteswissenschaften ► Psychologie ► Allgemeine Psychologie |
| Geisteswissenschaften ► Psychologie ► Verhaltenstherapie | |
| Informatik ► Datenbanken ► Data Warehouse / Data Mining | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Naturwissenschaften ► Biologie ► Humanbiologie | |
| Naturwissenschaften ► Biologie ► Zoologie | |
| Technik | |
| Schlagworte | Accumulated Regular Noise Removal • Automated Term Extraction Methods (ATE) • Document Ordering • Gartner Trend Prediction • ontology engineering • Ontology Learning • Optimized Computation Pipeline • Optimized Term Extraction Pipeline • Term Grouping • Terminological Difference Function (thd) • terminological saturation • Text Similarity Measurement |
| ISBN-10 | 981-16-8630-0 / 9811686300 |
| ISBN-13 | 978-981-16-8630-6 / 9789811686306 |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
PDF (Wasserzeichen)Größe: 5,8 MB
DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasserzeichen und ist damit für Sie personalisiert. Bei einer missbräuchlichen Weitergabe des eBooks an Dritte ist eine Rückverfolgung an die Quelle möglich.
Dateiformat: PDF (Portable Document Format)
Mit einem festen Seitenlayout eignet sich die PDF besonders für Fachbücher mit Spalten, Tabellen und Abbildungen. Eine PDF kann auf fast allen Geräten angezeigt werden, ist aber für kleine Displays (Smartphone, eReader) nur eingeschränkt geeignet.
Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.
Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.
aus dem Bereich
