Combined Inference Approach for Large Scale Ontologies based on Map Reduce Paradigm

Authors(2) :-K. Lakshmi Rupa, Dr. S. S. Arumugam

In blessing technique, an progressive and meted out deduction procedure for Goliath scale ontology's via creating use of Map curb, that acknowledges unbalanced execution thinking and runtime searching, specifically for progressive present’s base. With the assistance of constructing up modification induction lush territory and powerful assertion triples, the potential is clearly brought down and therefore the thinking system is disentangled and quickened. At long final, a mannequin method is connected to a Hadoop constitution and therefore the trial influence approves the convenience and adequacy of the projected procedure. We tend to place in energy the FastRAQ methodology on the UNIX system stage, and appraisal it’s effectively with around 10 billion aptitudes records. take a look at results exhibit that FastRAQ presents assortment combine inquiry have an effect on at intervals an amount interim 2 requests of activity drop than that of Hive, whilst the relative mistake is prevented than third throughout the given self-belief short-time.

Authors and Affiliations

K. Lakshmi Rupa
Department of Computer Science and Engineering, Annamacharya Institute of Technology and Sciences, Tirupati, Andhra Pradesh, India
Dr. S. S. Arumugam
Department of Computer Science and Engineering, Annamacharya Institute of Technology and Sciences, Tirupati, Andhra Pradesh, India

Balanced Partition, large information, four-dimensional bar chart, variety-total question

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Publication Details

Published in : Volume 2 | Issue 6 | November-December 2017
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 703-708
Manuscript Number : CSEIT1726201
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

K. Lakshmi Rupa, Dr. S. S. Arumugam, "Combined Inference Approach for Large Scale Ontologies based on Map Reduce Paradigm", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 6, pp.703-708 , November-December-2017.
Journal URL : http://ijsrcseit.com/CSEIT1726201

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