Authors: Jianghua Li; Boyu Li
Addresses: School of Information and Engineering, Jiangxi University of Science and Technology, Ganzhou, China ' School of Information and Engineering, Jiangxi University of Science and Technology, Ganzhou, China
Abstract: Ontology is being widely used for data integration and knowledge discovery in the field of data engineering. Ontology ranking is one of the important functions of ontology search engine, which ranks the searched ontologies in a reasonable order. A good ranking method can help a user acquiring the satisfied ontology efficiently from a considerable amount of search results. However, existing methods in literatures are unable to rank ontologies to well meet user's ranking demand due to their inherent shortcomings. In this paper, a novel ontology ranking method OntoDUIA is proposed and presented. It evaluates user-query related ontologies and ranks them based on a set of metrics of query relevance, usability, instance distribution and authority of ontology. To evaluate OntoDUIA, a series of experiments are conducted to compare the performance among OntoDUIA and some existing ontology ranking methods as well as human experts. Experimental results show that OntoDUIA can effectively meet user's ontology ranking demand, and it achieves stable and reliable ranking results. Finally, OntoDUIA can also be applied to ontology retrieval system.
Keywords: ontology ranking; relevance metrics; usability quality metrics; instance metrics.
International Journal of High Performance Systems Architecture, 2017 Vol.7 No.4, pp.179 - 188
Available online: 05 Jun 2018 *Full-text access for editors Access for subscribers Purchase this article Comment on this article