DocumentCode
1483287
Title
Ontology learning for the Semantic Web
Author
Maedche, Alexander ; Staab, Steffen
Author_Institution
Karlsruhe Univ., Germany
Volume
16
Issue
2
fYear
2001
Firstpage
72
Lastpage
79
Abstract
The Semantic Web relies heavily on formal ontologies to structure data for comprehensive and transportable machine understanding. Thus, the proliferation of ontologies factors largely in the Semantic Web´s success. The authors present an ontology learning framework that extends typical ontology engineering environments by using semiautomatic ontology construction tools. The framework encompasses ontology import, extraction, pruning, refinement and evaluation.
Keywords
Internet; hypermedia markup languages; information resources; knowledge acquisition; learning (artificial intelligence); meta data; Internet; Semantic Web; XML documents; machine understanding; metadata; ontology engineering environments; ontology learning; semiautomatic ontology construction tools; Data engineering; Data mining; Databases; Dictionaries; Feeds; Knowledge acquisition; Knowledge engineering; Machine learning; Ontologies; Semantic Web;
fLanguage
English
Journal_Title
Intelligent Systems, IEEE
Publisher
ieee
ISSN
1541-1672
Type
jour
DOI
10.1109/5254.920602
Filename
920602
Link To Document