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Matching Based Algorithm for Semantic Search and its Implementation.

Author(s)
M. Ilyas Computer Science and Information Technology Department, University of Sargodha, Sargodha, 40100, Pakistan
S. M. Adnan Computer Science Department, University of Engineering and Technology Taxila, Taxila, 47080, Pakistan
W. Ahmad Computer Science Department, University of Engineering and Technology Taxila, Taxila, 47080, Pakistan
T. Fatima Computer Science and Information Technology Department, University of Sargodha, Sargodha, 40100, Pakistan
U. Habiba Computer Science and Information Technology Department, University of Sargodha, Sargodha, 40100, Pakistan
J. Rashid Computer Science Department, University of Engineering and Technology Taxila, Taxila, 47080, Pakistan
Abstract
With rapidly increasing information and data available online, end users are not satisfied with search results of even renowned search engines. Most of the time, search engines results in irrelevant pages to the users. Semantic search aims to improve search results by retrieving data based on keywords and its synonyms as well. It focuses on intent and context of query. Semantic search is also used to get variety in results. This research work discusses and compare the architecture of various semantic search engines based on how much semantics they include in their results. We proposed a new semantic search algorithm based on ontology matching within the semantic web. Prototype for proposed algorithm and its results are discussed.
Publication Details
Page(s) 70-76
DOI DOI not available
Published Journal: Technical Journal, Volume: 23, Issue: 4, Year: 2018

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Keywords
Semantic Search Engine, Semantic Matching, Semantic Results
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