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.
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Jia, H., Newman, J., Tianfield, H. (2009). A new Formal Concept Analysis based learning approach to Ontology building. In: Sicilia, MA., Lytras, M.D. (eds) Metadata and Semantics. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-77745-0_42
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DOI: https://doi.org/10.1007/978-0-387-77745-0_42
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