Towards Quick Understanding and Analysis of Large-Scale Ontologies

  • Miao Xiong
  • YiFan Chen
  • Hao Zheng
  • Yong Yu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4185)


With the development of semantic web technologies, large and complex ontologies are constructed and applied to many practical applications. In order for users to quickly understand and acquire information from these huge information “oceans”, we propose a novel ontology visualization approach accompanied by “anatomies” of classes and properties. With the holistic “imaging”, users can both quickly locate the interesting “hot” classes or properties and understand the evolution of the ontology; with the anatomies, they can acquire more detailed information of classes or properties that is arduous to collect by browsing and navigation. Specifically, we produce the ontology’s holistic “imaging” which contains a semantic layout on classes and distributions of instances. Additionally, the evolution of the ontology is illustrated by the changes on the “imaging”. Furthermore, detailed anatomies of classes and properties, which are enhanced by techniques in database field (e.g. data mining), are ready for users.


Association Rule Voronoi Diagram Voronoi Tessellation Ontology Evolution Instance Level 
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

  • Miao Xiong
    • 1
  • YiFan Chen
    • 1
  • Hao Zheng
    • 1
  • Yong Yu
    • 1
  1. 1.APEX Data and Knowledge Management Lab, Department of Computer Science and EngineeringShanghai Jiao Tong UniversityShanghaiP.R. China

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