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.