A new Formal Concept Analysis based learning approach to Ontology building

  • Haibo Jia
  • Julian Newman
  • Huaglory Tianfield

Formal Concept Analysis (FCA) is a concept clustering approach that has been widely applied in ontology learning. In our work, we present an innovative approach to generating information context from a tentative domain specified scientific corpus and mapping a concept lattice to a formal ontology. The application of the proposed approach to Semantic Web search demonstrates this automatically constructed ontology can provide a semantic way to expand users' query context, which can complement a conventional search engine.


Information Context Concept Lattice Query Term Query Expansion Formal Context 
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 Science+Business Media, LLC 2009

Authors and Affiliations

  1. 1.School of Engineering and ComputingGlasgow Caledonian UniversityGlasgowUK

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