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Ontology Learning for the Semantic Web

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  • 276 pages
  • 10 hours of reading

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Exploring the intersection of ontology learning and the Semantic Web, this book delves into methodologies for automatically constructing and refining ontologies from various data sources. It emphasizes the importance of ontologies in enhancing data interoperability and knowledge sharing on the web. The text covers techniques such as natural language processing and machine learning, providing insights into practical applications and challenges in the field. Ideal for researchers and practitioners, it offers a comprehensive overview of current trends and future directions in ontology learning.

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Ontology Learning for the Semantic Web, Alexander Maedche

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Released
2002
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(Hardcover)
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