Evaluation Metrics for Computer Science Domain Specific Ontology in Semantic Web Based IRSCSD System
Keywords:
Semantic web, Information retrieval, Ontology quality, Ontology evaluation, Evaluation metrics, Ontology verification, Ontology validation, Sparql queries, Jena fuseki.Abstract
Performance and efficiency of web information retrieval is important for knowledge engineers, novice users and for organizations. In semantic web based system, the concept of ontology is used to search results by contextual meaning of input query instead of keyword matching. Ontology is an approximate specification of a domain whereas ontology evaluation is concerned with the degree or rather the distance between this approximate conceptualization and the real world. For this, ontology based information retrieval system for computer science domain is designed which this research calls as the IRSCSD system. This paper considers the evaluation of prototype ontology developed in computer science domain for IRSCSD system and has four- fold objectives. Firstly, paper highlights the high level design of IRSCSD system (Information retrieval system for computer science domain). Secondly, paper discusses the prototype ontology developed for computer science domain taking one of its core subjects. Thirdly, paper focuses on the need for evaluation of ontology and various approaches, metrics which can be used for evaluation of domain specific ontology in computer science. Lastly, implementation will be shown by considering those approaches on prototype ontology along with the data sets used for evaluation.
References
R.Bansal , S.Chawla .“An Approach for Semantic Information Retrieval from Ontology in Computer Science Domain”, International Journal of Engineering and Advanced Technology (IJEAT), vol.4, issue.2, 2014.
M.Fernández, I.Cantador, V.López, D.Vallet, P.Castells, E.Motta.”Semantically enhanced Information Retrieval: An ontology-based approach”, Web Semantics: Science, Services and Agents on the World Wide Web, vol. 9, issue 4, pp.434-542, 2011.
P.S.Sonakneware ,S.J.Karale. “ Ontology Based Approach for Domain Specific Semantic Information Retrieval System”, International Journal of Engineering Research and Applications(IJERA),ICIAC, 2014.
J.Brank, M.Grobelnik, D.Mladenic.”A survey of ontology evaluation techniques”, Data mining and data warehouses (SiKDD 2005), Ljuvljana, Slovenia, pp.166-170.
J.Pak , L.Zhou.”A framework for ontology evaluation”, Exploring the Grand Challenges for Next Generation E-Business, Springer Berlin Heidelberg , pp.10-18,2011.
R.Bansal , S.Chawla.“Semantic Web Tool: For Efficient retrieval of Links and Required Information”,International journal of Innovative Technology and Exploring Engineering (IJITEE),vol. 3,issue 4, 2013.
Biomedical Informatics Research, Stanford University. “Protégé.”Internet: http://protege.stanford.edu/ [Feb. 11.2015].
W3C Recommendation. Feb, 2004 “RDF Primer.”Internet : http://www.w3.org/TR/rdf-primer/[Oct 10, 2014].
M.R.Khondoker, P.Mueller. “Comparing ontology development tools based on an online survey”, World Congress on Engineering (WCE 2010), London, UK.
H.Hlomani, D.Stacey. “Approaches, methods, metrics, measures, and subjectivity in ontology evaluation: A survey”, Semantic Web Journal, pp. 1-5, 2014.
Information Systems Group.“HermiT Owl Reasoner.”Internet: http://hermit-reasoner.com/ [Oct. 16, 2015].
R.Porzel ,R.Malaka.”A task-based approach for ontology evaluation”, ECAI Workshop on Ontology Learning and Population, Valencia, Spain, 2004.
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