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Mapping evolution of dynamic web ontologies

Citation

Khattak, AM and Pervez, Z and Khan, WA and Khan, AM and Latif, K and Lee, SY, Mapping evolution of dynamic web ontologies, Information Sciences, 303 pp. 101-119. ISSN 0020-0255 (2014) [Refereed Article]

Copyright Statement

Copyright 2015 Elsevier Inc.

DOI: doi:10.1016/j.ins.2014.12.040

Abstract

Information on the web and web services that are revised by stakeholders is growing incredibly. The presentation of this information has shifted from a representational model of web information with loosely clustered terminology to semi-formal terminology and even to formal ontology. Mediation (i.e., mapping) is required for systems and services to share information. Mappings are established between ontologies in order to resolve terminological and conceptual incompatibilities. Due to new discoveries in the field of information sharing, the body of knowledge has become more structured and refined. The domain ontologies that represent bodies of knowledge need to be able to accommodate new information. This allows for the ontology to evolve from one consistent state to another. Changes in resources cause existing mappings between ontologies to be unreliable and stale. This highlights the need for mapping evolution (regeneration) as it would eliminate the discrepancies from the existing mappings. In order to re-establish the mappings between dynamic ontologies, the existing systems require a complete mapping process to be restructured, and this process is time consuming. This paper proposes a mapping reconciliation approach between the updated ontologies that has been found to take less time to process compared to the time of existing systems when only the changed resources are considered and also eliminates the staleness of the existing mappings. The proposed approach employs the change history of ontology in order to store the ontology change information, which helps to drastically reduce the reconciliation time of the mappings between dynamic ontologies. A comprehensive evaluation of the performance of the proposed system on standard data sets has been conducted. The experimental results of the proposed system in comparison with six existing mapping systems are provided in this paper using 13 different data sets, which support our claims.

Item Details

Item Type:Refereed Article
Keywords:ontology change, change management, change history, mapping reconciliation
Research Division:Information and Computing Sciences
Research Group:Distributed Computing
Research Field:Web Technologies (excl. Web Search)
Objective Division:Information and Communication Services
Objective Group:Computer Software and Services
Objective Field:Information Processing Services (incl. Data Entry and Capture)
UTAS Author:Lee, SY (Professor Sungyoung Lee)
ID Code:122921
Year Published:2014
Web of Science® Times Cited:11
Deposited By:Information and Communication Technology
Deposited On:2017-12-06
Last Modified:2018-02-08
Downloads:0

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