New Trends of Research in Ontologies and Lexical Resources: Ideas, Projects, Systems - Theory and Applications of Natural Language Processing (Hardback)Alessandro Oltramari (editor), Piek Vossen (editor), Lu Qin (editor), Eduard Hovy (editor)
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In order to exchange knowledge, humans need to share a common lexicon of words as well as
to access the world models underlying that lexicon. What is a natural process for a human turns out to be an extremely hard task for a machine: computers can't represent knowledge as effectively as humans do, which hampers, for example, meaning disambiguation and communication. Applied ontologies and NLP have been developed to face these challenges. Integrating ontologies with (possibly multilingual) lexical resources is an essential requirement to make human language understandable by machines, and also to enable interoperability and computability across information systems and, ultimately, in the Web.
This book explores recent advances in the integration of ontologies and lexical resources, including questions such as building the required infrastructure (e.g., the Semantic Web) and different formalisms, methods and platforms for eliciting, analyzing and encoding knowledge contents (e.g., multimedia, emotions, events, etc.). The contributors look towards next-generation technologies, shifting the focus from the state of the art to the future of Ontologies and Lexical Resources. This work will be of interest to research scientists, graduate students, and professionals in the fields of knowledge engineering, computational linguistics, and semantic technologies.
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Number of pages: 282
Weight: 613 g
Dimensions: 235 x 155 x 18 mm
Edition: 2013 ed.
From the reviews:"This exquisite collection of really trendsetting research is captivating reading for any student, scholar, or engineer interested in the growing field of semantic technologies and the semantic web. ... The book is recommended as mandatory reading for all serious NLP and semantic web students and experts." (Mariana Damova, Computing Reviews, September, 2013)
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