A Semi-automatic Ontology Acquisition Method for the Semantic Web

  • Man Li
  • Xiaoyong Du
  • Shan Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3739)


The success of the Semantic Web strongly depends on the proliferation of ontologies, which requires fast and easy engineering of ontologies. The paper analyzes the semantic similarity between relational model and ontology, and proposes a semi-automatic ontology acquisition method(SOAM) based on data in relational database. SOAM tries to ensure the quality of constructed ontology and the automatic degree of acquiring process by balancing the cooperation between user contributions and machine learning. Because OWL is the latest ontology language standard recommended by W3C, the implementation of SOAM is given to acquire OWL ontology automatically as much as possible. Different from existing methods, the implementation method not only can acquire OWL ontology from relational database directly without demanding a middle model, but also can refine obtained ontology according to existing lexical knowledge repositories semi-automatically.


Relational Database Relational Model Semantic Similarity Object Property Database Schema 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Man Li
    • 1
  • Xiaoyong Du
    • 1
  • Shan Wang
    • 1
  1. 1.School of InformationRenmin University of ChinaBeijingChina

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