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A Trustworthiness Improving Link Evaluation Technique for LOD considering the Syntactic Properties of RDFS, OWL, and OWL2  

Park, Jaeyeong (서경대학교 전자컴퓨터공학과)
Sohn, Yonglak (서경대학교 컴퓨터공학과)
Publication Information
Journal of KIISE:Databases / v.41, no.4, 2014 , pp. 226-241 More about this Journal
Abstract
LOD(Linked Open Data) is composed of RDF triples which are based on ontologies. They are identified, linked, and accessed under the principles of linked data. Publications of LOD data sets lead to the extension of LOD cloud and ultimately progress to the web of data. However, if ontologically the same things in different LOD data sets are identified by different URIs, it is difficult to figure out their sameness and to provide trustworthy links among them. To solve this problem, we suggest a Trustworthiness Improving Link Evaluation, TILE for short, technique. TILE evaluates links in 4 steps. Step 1 is to consider the inference property of syntactic elements in LOD data set and then generate RDF triples which have existed implicitly. In Step 2, TILE appoints predicates, compares their objects in triples, and then evaluates links between the subjects in the triples. In Step 3, TILE evaluates the predicates' syntactic property at the standpoints of subject description and vocabulary definition and compensates the evaluation results of Step 2. The syntactic elements considered by TILE contain RDFS, OWL, OWL2 which are recommended by W3C. Finally, TILE makes the publisher of LOD data set review the evaluation results and then decide whether to re-evaluate or finalize the links. This leads the publishers' responsibility to be reflected in the trustworthiness of links among the data published.
Keywords
LOD; Trustworthy Link; Ontology; Inference; Syntactic elements; RDFS; OWL; OWL2;
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  • Reference
1 H. Halpin, P. Hayes, "When owl:sameAs isn't the Same: An Analysis of Identity Links on the Semantic Web," Proc. of the 3rd Workshop on Linked Data on the Web (LDOW2010), 2010.
2 J. Volz, C. Bizer, M. Gaedke, G. Kobilarov, "Silk -A Link Discovery Framework for the Web of Data," Proc. of the 2nd Workshop on Linked Data on the Web 2009 (LDOW2009), 2009.
3 A.-C. Ngonga Ngomo, S. Auer, "LIMES - A Time- Efficient Approach for Large-Scale Link Discovery on the Web of Data," Proc. of the 22nd IJCAI, pp.2312-2317, 2011.
4 RDF Schema 1.1 W3C Recommendation (25 February 2014) [Online] Available: http://www.w3.org/TR/rdf-schema/ (accessed 7 March 2014)
5 Web Ontology Language(OWL) [Online] Available: http://www.w3.org/2001/sw/wiki/OWL (accessed 7 March 2014)
6 OWL2 Web Ontology Language Primer (Second Edition), W3C Recommendation 11 December 2012 [Online] Available: http://www.w3.og/TR/owl2-primer/ (accessed 7 March 2014)
7 T. Heath, C. Bizer, Linked Data: Evolving the Web into a Global Data Space, 1st Ed., Morgan & Claypool, 2011.
8 RDF 1.1 N-Triples W3C Recommendation (25 February 2014) A line-based syntax for an RDF graph [Online] Available: http://www.w3.org/2001/ sw/RDFCore/ntriples/ (accessed 5 March 2014)
9 Y. Raimond, C. Sutton, M. Sandler, "Automatic Interlinking of Music Datasets on the Sema-ntic Web," Proc. of the 1st Workshop about Linked Data on the Web 2008 (LDOW2008).
10 R. Vesse, R.-M. Zettlemoyer, K. Ahmed, G. Moore, T. Pluskiewicz. (2013, May 6). dotNetR-DF An Open Source C# .Net Library for RDF [Online]. Available: http://www.dotnetrdf.org/ (downloaded 27 July 2013)
11 T. Berners-Lee. (2006, July 27). Linked Data [Online]. Available: http://www.w3.org/DesignIs sues/LinkedData.html (accessed 27 July 2013).
12 H. Halpin, V. Presutti, "An Ontology of Resources for Linked Data," Proc. of the 2nd Workshop on Linked Data on the Web (LDOW2009), 2009.