"With the advancements of semantic web, ontology has become the crucial mechanism for representing concepts in varied domains. For research and dispersal of customized healthcare services, a major challenge is to efficiently retrieve and analyze individual patient data from a large volume of heterogeneous data over a long-time span. This demands effective ontology-based information retrieval approaches for clinical information systems. Further, Information Retrieval (IR) since its inception has matured into an established ...
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"With the advancements of semantic web, ontology has become the crucial mechanism for representing concepts in varied domains. For research and dispersal of customized healthcare services, a major challenge is to efficiently retrieve and analyze individual patient data from a large volume of heterogeneous data over a long-time span. This demands effective ontology-based information retrieval approaches for clinical information systems. Further, Information Retrieval (IR) since its inception has matured into an established mechanism for facilitating fast and relevant information retrieval. However, mining relevant information from large amount of distributed data demands understanding the semantics of the desired information using ontology"--
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