A Semantic Search Conceptual Model and Application in Security Access Control

  • Kunmei Wen
  • Zhengding Lu
  • Ruixuan Li
  • Xiaolin Sun
  • Zhigang Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4185)


We propose a conceptual model for semantic search and implement it in security access control. The model provides security access control to extend the search capabilities. The scalable model can integrate other ontology providing the general ontology as the transformation interface. We combine text Information Retrieval (IR) with semantic inference in the model. So it can not only search the resources and the relationships between them according to the user’s privileges, but also locate the exact resource using text IR. We build a security ontology based on Role-Based Access Control (RBAC) policy. A semantic search system Onto-SSSE is implemented based on the model. The system can perform some complex queries using ontology reasoning, especially about association queries such as the relationships between resources. The evaluation shows that the new system performs better than exiting methods.


Description Logic Keyword Query Access Control Model Conjunctive Query Semantic Search 
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 2006

Authors and Affiliations

  • Kunmei Wen
    • 1
  • Zhengding Lu
    • 1
  • Ruixuan Li
    • 1
  • Xiaolin Sun
    • 1
  • Zhigang Wang
    • 1
  1. 1.Internet and Distributed Computing Lab, College of Computer Science and TechnologyHuazhong University of Science and TechnologyWuhanP.R. China

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