  In this paper we present a generic framework for ontology-based information
retrieval. 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. In addition, we have used ontology of public
transportation domain in order to validate these proposals. Finally, we
evaluated our system using ontology mapping and real world data sources.
Experiments show that our framework can provide meaningful search results.
