In this paper, we present a semantic search approach based on Case-based modular Ontology. Our work aims to improve ontology-based information retrieval by the integration of the traditional information retrieval, the use of ontology and the case based ...
This research addresses the semantic and knowledge gap problem in information retrieval by proposing an ontology-based semantic feature-matching approach, which uses natural language processing, named entity recognition and user-oriented ontologies. The ...
Relevance models provide an important approach for estimating probabilities of words in the relevant class. However, the associated bag-of-words assumption breaks dependencies between words, especially between those within a phrase. If such dependencies ...
Taylor & Francis, Inc.
United States
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