Ontology Learning for the Semantic Web

✍ Scribed by Alexander Maedche (auth.)

• Publisher: Springer US
• Year: 2002
• Tongue: English
• Leaves: 252
• Series: The Kluwer International Series in Engineering and Computer Science 665
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-xxiii
Front Matter....Pages 1-1
Introduction....Pages 3-10
Ontology — Definition & Overview....Pages 11-27
Layered Ontology Engineering....Pages 29-55
Front Matter....Pages 57-57
A Framework for Ontology Learning....Pages 59-79
Data Import & Processing....Pages 81-116
Ontology Learning Algorithms....Pages 117-147
Front Matter....Pages 149-149
The TEXT-TO-ONTO Environment ....Pages 151-170
Evaluation....Pages 171-199
Front Matter....Pages 201-201
Related Work....Pages 203-222
Conclusion & Outlook....Pages 223-227
Back Matter....Pages 229-244

✦ Subjects

Artificial Intelligence (incl. Robotics); The Computing Profession; Data Structures, Cryptology and Information Theory; Theory of Computation; Processor Architectures