• Dec 24, 2021 News!Vol 10, No 1- Vol 10, No 2 has been indexed by IET-(Inspec)   [Click]
  • Aug 27, 2020 News!Welcome Prof. D. P. Sharma from India to join the Editorial board of IJFCC     [Click]
  • Aug 18, 2022 News!Vol.11, No.3 has been published with online version.     [Click]
General Information

Prof. Pascal Lorenz
University of Haute Alsace, France
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.

IJFCC 2013 Vol.3(1): 40-44 ISSN: 2010-3751
DOI: 10.7763/IJFCC.2014.V3.264

Triple Patterns Extraction for Accessing Data on Ontology

Zin Thu Thu Myint and Kay Khaing Win
 Abstract—Some web applications use the ontology to integrate multiple data sources because ontology-based data integration is the ideal solution to handle the semantic conflict. For accessing the data on ontology, ontology understanding query such as SPARQL is needed. However, end users enter the unstructured sentence (words, statements, etc.) as an input when they wanted to search the required information on the web. So, it is needed to extract the triplets (i.e. subjects, predicates and objects) from the input query to build the ontology browsing query SPARQL. Although there are many triplet extraction algorithms, either they can’t fully define all triple patterns from the incoming query or they are time consuming process. The proposed algorithm presented in this paper can handle this triplet’s incompleteness problem and the aim of this system is to extract the specific triplets from incoming query and to add the necessary information for supporting SPARQL query generating process in a time-saving manner.

Index Terms—Triplet extraction, ontology, data integration, semantic similarity, query translation.

The authors are with the University of Technology (Yadanarpon Cyber City), near Pyin Oo Lwin, Myanmar (e-mail: zinthumyint@gmail.com, kkhaingwin@gmail.com).


Cite:Zin Thu Thu Myint and Kay Khaing Win, "Triple Patterns Extraction for Accessing Data on Ontology," International Journal of Future Computer and Communication vol. 2, no. 6, pp. 40-44, 2014.

Copyright © 2008-2022. International Journal of Future Computer and Communication. All rights reserved.
E-mail: ijfcc@ejournal.net