Title :
Ontology learning for the Semantic Web
Author :
Maedche, Alexander ; Staab, Steffen
Author_Institution :
Karlsruhe Univ., Germany
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;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/5254.920602