document: An enhanced model for searching in semantic portals Semantic Portal is the next generation of web portals that are powered by Semantic Web technologies for improved information sharing and exchange for a community of users . Current methods of searching in Semantic Portals are limited to keyword-based search using information retrieval ( IR ) techniques , ontology-based formal query and reasoning , or a simple combination of the two . In this paper , we propose an enhanced model that tightly integrates IR with formal query and reasoning to fully utilize both textual and semantic information for searching in Semantic Portals . The model extends the search capabilities of existing methods and can answer more complex search requests . The ideas in a fuzzy description logic ( DL ) IR model and a formal DL query method are employed and combined in our model . Based on the model , a semantic search service is implemented and evaluated . The evaluation shows very large improvements over existing methods .
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