Spatial Semantic Search with Online Agents and Weighted Ontologies
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Information retrieval results can be enhanced by incorporating context from both user and data into a search. This thesis contributes to this aim by automatically building data-specific weighted ontologies for semantic searches, ranking spatial data by proximity to a target location, and encapsulating these abilities into web agents that can return ranked semantic search results in response to a given query input.
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