Abstract
In this paper, we present a complete ontology-based framework for the extraction and retrieval of semantic information in specific domains. We focus on the recognition of semantic information extracted from data sources and the mapping of this knowledge into ontology. In order to achieve more scalability, we propose an approach for semantic indexing based on entity retrieval model. The proposed approach was validated using an example of ontology in public transportation domain. Finally, we evaluated our system using ontology mapping and real world data sources. Experiment results show that our proposed framework can provide meaningful search results.
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