Ontology Learning for the Semantic Web explores techniques for applying knowledge discovery techniques to different web data sources (such as HTML documents, dictionaries, etc.), in order to support the task of engineering and maintaining ontologies. The approach of ontology learning proposed in Ontology Learning for the Semantic Web includes a number of complementary disciplines that feed in different types of unstructured and semi-structured data.
This data is necessary in order to support a semi-automatic ontology engineering process.
Ontology Learning for the Semantic Web is designed for researchers and developers of semantic web applications. It also serves as an excellent supplemental reference to advanced level courses in ontologies and the semantic web.
| ISBN: | 9780792376569 |
| Publication date: | 28th February 2002 |
| Author: | Alexander Maedche |
| Publisher: | Springer an imprint of Springer US |
| Format: | Hardback |
| Pagination: | 244 pages |
| Series: | The Kluwer International Series in Engineering and Computer Science |
| Genres: |
Artificial intelligence Information theory Algorithms and data structures Mathematical theory of computation Computer architecture and logic design Information technology: general topics |
Ontology Learning for the Semantic Web explores techniques for applying knowledge discovery techniques to different web data sources (such as HTML documents, dictionaries, etc.), in order to support the task of engineering and maintaining ontologies. The approach of ontology learning proposed in Ontology Learning for the Semantic Web includes a number of complementary disciplines that feed in different types of unstructured and semi-structured data.
Ontology Learning for the Semantic Web features in the following genres: Artificial intelligence, Information theory, Algorithms and data structures, Mathematical theory of computation, Computer architecture and logic design, Information technology: general topics
Ebook, Paperback, Hardback. Not Available.
Ontology Learning for the Semantic Web was written by Alexander Maedche and published by Springer an imprint of Springer US
Ontology Learning for the Semantic Web has 244 pages
Yes it is part of The Kluwer International Series in Engineering and Computer Science series