International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume4,September 2017,

Topic : Effective Approach for Inconsistent Probabilistic Graph Database

Authors:Burru Sivaiah ||

Abstract:The Resource Description Framework (RDF) has been generally utilized to describe resources and their connections as a part of the semantic web. The RDF graph is one of the usually utilized representations for RDF information. In any case, in many real time application such as data extraction or integration, RDF graph incorporated from various information sources may frequently contain uncertain and conflicting data (e.g., uncertain labels or that violate facts/rules), because of the lack of quality of information sources. The formalizing the RDF data by conflicting probabilistic RDF diagrams, which contain the two anomalies and uncertainty. With such a probabilistic diagram model and concentrate on a vital issue in cache based query retrieval management in conflicting probabilistic RDF charts, which recovers sub graphs from conflicting probabilistic RDF graphs that are isomorphic to a given query graph and with excellent scores. In order to efficiently answer QA-gMatch queries, the proposed cache supported to query retrieval system, which can reducing time delay between new search and cache searching time. Finally, demonstrating the efficiency and the effectiveness of the proposed approach through extensive experiments..

Keywords: Cache based query retrieval system, inconsistent probabilistic RDF graph databases, QA-gMatch.

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DOI: 01.1617/vol4/iss9/pid27103


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Editor-in-Chief

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Dr. Allon Guez
Professor, Drexel University,
USA


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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ACCEPTANCE RATIO: 28.69%
ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Frequency : monthly
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