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New Trends of Research in Ontologies and Lexical Resources

eBook - Ideas, Projects, Systems, Theory and Applications of Natural Language Processing
ISBN/EAN: 9783642317828
Umbreit-Nr.: 9274928

Sprache: Englisch
Umfang: 282 S., 5.52 MB
Format in cm:
Einband: Keine Angabe

Erschienen am 01.02.2013
Auflage: 1/2013


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Format: PDF
DRM: Digitales Wasserzeichen
€ 62,95
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  • Zusatztext
    • <p>In order to exchange knowledge, humans need to share a common lexicon of words as well as</p><p>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 cant 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.</p><p>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.</p><p>
  • Kurztext
    • Surveying new directions of research and development in the interdisciplinary framework where ontologies and lexical resources intersect, this book deals with the complex relation between lexicons (in different languages) and the underlying ontological model.