A primary problem in the area of natural language processing has been semantic analysis. This book looks at the semantics of natural languages in context. It presents an approach to the computational processing of English text that combines current theories of knowledge representation and reasonin
Natural Language Processing for the Semantic Web
β Scribed by Diana Maynard, Kalina Bontcheva, Isabelle Augenstein
- Publisher
- Morgan & Claypool
- Year
- 2017
- Tongue
- English
- Leaves
- 184
- Series
- Synthesis Lectures on The Semantic Web: Theory and Technology, #15
- Category
- Library
No coin nor oath required. For personal study only.
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This book introduces the semantic aspects of natural language processing and its applications. Topics covered include: measuring word meaning similarity, multi-lingual querying, and parametric theory, named entity recognition, semantics, query language, and the nature of language. The book also emph
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During the last years, the amount of RDF data has increased exponentially over the Web, exposed via SPARQL endpoints. These SPARQL endpoints allow users to direct SPARQL queries to the RDF data. Federated SPARQL query processing allows to query several of these RDF databases as if they were a single
<p><p>This book serves as a starting point for Semantic Web (SW) students and researchers interested in discovering what Natural Language Processing (NLP) has to offer. NLP can effectively help uncover the large portions of data held as unstructured text in natural language, thus augmenting the real