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INCREMENTAL ONTOLOGY INFERENCE FOR SEMANTIC WEB BASED ON MAPREDUCE APPROACH

  • Unique Paper ID: 144262
  • Volume: 3
  • Issue: 9
  • PageNo: 109-118
  • Abstract:
  • In the fast growing internet world, web content increase day by day. This demands the knowledge searching and reasoning in this big data. The knowledge is represented in the semantic web using web ontology languages. Existing methods take long time to derive inferences and also it performs full reasoning when new data stream arrives. In this paper an Incremental Ontology Inference (IOI) Method for handling large number of triples (subject, predicate, and object) is proposed. In IOI, the triples for each type are collected and a forest like data structure is built and then performs reasoning. The storage requirement is also reduced by merging the triple reasoned from other triple into a set of triples with the same values. Hence, it provides fast traversal of triples in the tree and retrieves the query results efficiently. MapReduce paradigm is used to implement the proposed approach. The results for user query are reasoned and retrieved effectively.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 3
  • Issue: 9
  • PageNo: 109-118

INCREMENTAL ONTOLOGY INFERENCE FOR SEMANTIC WEB BASED ON MAPREDUCE APPROACH

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Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

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