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A Multi-Ontology Approach for Personal Information Management

The increasingly huge volume of personal information stored in a desktop computer is characterized by disparate models, unstructured contents, and implicit knowledge. Aiming at a semantic rich environment, a number of Semantic Desktop frameworks have been proposed, concentrating on different aspects, including organization, manipulation, and visualization of the data. In this paper, we propose a layered and semantic ontology-based framework for personal information management, and we discuss its annotations, associations, and navigation. We also discuss query processing in two cases: query rewriting in a single personal information application, PIA, and that between two PIAs.