• 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