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 :
بازگشت