Putting Things in Context: A Topological Approach to Mapping Contexts and Ontologies

Aviv Segev and Avigdor Gal

Ontologies and contexts are complementary disciplines for modeling views. In the area of information integration, ontologies may be viewed as the outcome of a manual effort of modeling a domain, while contexts are system generated models. In this work, we aim at formalizing the inter-relationships between a manually generated ontology and automatically generated contexts. We provide a formal mathematical framework that delineates the relationship between contexts and ontologies. We then use the model to define the uncertainty associated with automatic context extraction from existing documents and provide a ranking method, which ranks ontology concepts according to their suitability with a given context. Throughout this work we motivate our research using QUALEG, a European IST project that aims at providing local government an effective tool for bidirectional communication with citizens. Keywords: Ontology, Context, Topology mapping


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