UPM Institutional Repository

Query refinement for ontology information extraction


Ting, Mary and Abdul Kadir, Rabiah and Azman, Azreen and Tengku Sembok, Tengku Mohd and Ahmad, Fatimah and Mohd Sharef, Nurfadhlina (2016) Query refinement for ontology information extraction. In: 2016 Third International Conference on Information Retrieval and Knowledge Management (CAMP'16), 23-24 Aug. 2016, Hatten Hotel Melaka, Malaysia. (pp. 82-87).


Ontology information extraction has gain popularity due to the increasing amount of ontologies developed over the years. World Wide Web Consortium (W3C) has introduced SPARQL query language to extract information. However SPARQL query language follow a specific pattern in order to find the triple through subgraph matching. The keywords used in the SPARQL query have to be exactly same as the existing keywords in the RDF data in-order to extract the required information. The paper introduced a method to ease the job of the user by generating SPARQL query from the query entered by the user. The method uses the object property list generated from the ontology and word's synonym to aid in SPARQL query generation. The result has shown that the proposed method clearly eases the need of the user to learn SPARQL syntax.

Download File

PDF (Abstract)
Query refinement for ontology information extraction.pdf

Download (33kB) | Preview

Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Computer Science and Information Technology
DOI Number: https://doi.org/10.1109/INFRKM.2016.7806340
Publisher: IEEE
Keywords: Information extraction; Ontology; RDF; SPARQL; Triple
Depositing User: Nabilah Mustapa
Date Deposited: 31 Jul 2017 05:49
Last Modified: 31 Jul 2017 05:49
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/INFRKM.2016.7806340
URI: http://psasir.upm.edu.my/id/eprint/56325
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item