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.
Reihe
Sprache
Verlagsort
Verlagsgruppe
Illustrationen
Dateigröße
ISBN-13
978-1-4615-0925-7 (9781461509257)
DOI
10.1007/978-1-4615-0925-7
Schweitzer Klassifikation
I Fundamentals.- 1. Introduction.- 2. Ontology - Definition & Overview.- 3. Layered Ontology Engineering.- II Ontology Learning for the Semantic Web.- 4. Ontology Learning Framework.- 5. Data Import & Processing.- 6. Ontology Learning Algorithms.- III Implementation & Evaluation.- 7. The TEXT-TO-ONTO Environment.- 8. Evaluation.- IV Related Work & Outlook.- 9. Related Work.- 10. Conclusion & Outlook.- References.
