Semantic Search through Pattern Recognition

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Provided by: International Journal of Computer Science & Engineering Technology (IJCSET)
Topic: Big Data
Format: PDF
Semantic search on databases often return a large number of results, only a small subset of which is relevant to the user. The authors present a semantic search technique considering the type of desired web resources and the semantic relationships between the resources and the query keywords ranking and categorization, which can also be combined, to alleviate this information overload problem. Results refinement for databases is the focus of this paper. A novel search interface that enables the user to navigate large number of query results using the pattern recognition.
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