Fatima Ardjani; Djelloul Bouchiha; Mimoun Malki

An Approach for Discovering and Maintaining Links in RDF Linked Data

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Author(s)

Fatima Ardjani ^1,* Djelloul Bouchiha ² Mimoun Malki ³

1. EEDIS Laboratory, University of Djillali Liabès, Sidi BEL-ABBES, Algeria

2. EEDIS Lab, Ctr Univ Naama, Inst. Sciences and Technologies, Dept. Mathematics and Computer Science, Algeria

3. LabRI-SBA, Higher School of Computer Science, SBA, Algeria

* Corresponding author.

DOI: https://doi.org/10.5815/ijmecs.2017.03.07

Received: 2 Oct. 2016 / Revised: 12 Nov. 2016 / Accepted: 6 Dec. 2016 / Published: 8 Mar. 2017

Index Terms

Linked Data, Link maintenance, Detection of links, Ontology alignment

Abstract

Many datasets are published on the Web using semantic Web technologies. These datasets contain data that represent links to similar resources. If these datasets are linked together by properly constructed links, users can easily query the data through a uniform interface, as if they were querying a single dataset. In this paper we propose an approach to discover (semi) automatically links between RDF data based on the description models that appear around the resources. Our approach also includes a (semi) automatic process to maintain links when a data-change occurs.

Cite This Paper

Fatima Ardjani, Djelloul Bouchiha, Mimoun Malki, "An Approach for Discovering and Maintaining Links in RDF Linked Data", International Journal of Modern Education and Computer Science(IJMECS), Vol.9, No.3, pp.56-63, 2017. DOI:10.5815/ijmecs.2017.03.07

Reference

[1]S. Albagli, R. Ben-Eliyahu-Zohary, and S.E. Shimony, “Markov network based ontology matching”, J. Comput. Syst. Sci. 78(1), 105–118, 2012.
[2]A. Nikolov, M. d’Aquin, and E. Motta, “Unsupervised learning of link discovery configuration” In 9th Extended Semantic Web Conference (ESWC), pages 119–133, Berlin, Heidelberg, 2012.
[3]A. Cyrille, N. Ngomo, and K. Lyko, “Eagle: Efficient active learning of link specifications using genetic programming”, In 9th Extended Semantic Web Conference (ESWC), pages 149–163, 2012.
[4]A. Cyrille, N. Ngomo, and S. Auer, “Limes a time-efficient approach for large-scale link discovery on the Web of data”, In IJCAI, pages 2312–2317, 2011.
[5]R. Cyganiak, J. Zhao, M. Hausenblas, and K. Alexander, “Describing linked datasets with the VoID vocabulary”, W3C note, W3C, 2011.
[6]J. Euzenat, and P. Shvaiko, “Ontology matching”, Springer Verlag, Heildelberg (DE), 2013.
[7]F.M. Suchanek, S. Abiteboul, and P. Senellart, “Paris: Probabilistic alignment of relations, instances, and schema”, The Proceedings of the VLDB Endowment (PVLDB), 5(3):157–168, 2011.
[8]F. Saïs, N. Pernelle, and M.C. Rousset, “Combining a logical and a numerical method for data reconciliation”, Journal on Data Semantics, 12:66–94, 2009.
[9]F. Ardjani, D. Bouchiha, and M. Malki, "Ontology-Alignment Techniques: Survey and Analysis", IJMECS, vol.7, no.11, pp.67-78, 2015.DOI: 10.5815/ijmecs.2015.11.08.
[10]A. Ferrara, A. Nikolov, and F. Scharffe, “Data Linking for the Semantic Web”. Int. J. Semantic Web Inf. Syst., 7(3), 46,76, 2011.
[11]P. Hitzler, M. Krötzsch, and S. Rudolph, “Foundations of semantic Web technologies”, Chapman & Hall/CRC, 2009.
[12]J. Volz, C. Bizer, M. Gaedke, and G. Kobilarov, “Discovering and maintaining links on the Web of data”, In Proceedings of the 8th International Semantic Web Conference(ISWC), ISWC ’09, pages 650–665, Berlin, Heidelberg, 2009. Springer-Verlag.
[13]B. Motik, I. Horrocks, and U. Sattler, “Bridging the gap between owl and relational databases”, Web Semantics : Science, Services and Agents on the World Wide Web, 7(2) :74–89, 2009.
[14]R. Isele, and C. Bizer, “Learning expressive linkage rules using genetic programming”, PVLDB, 5(11):1638–1649, 2012.
[15]E. Ruckhaus, M.-E. Vidal, S. Castillo, O. Burguillos, and O. Baldizan, “Analyzing linked data quality with liquate”. In The Semantic Web: ESWC 2014 Satellite Events, 2014.pages 488–493. Springer.
[16]E. Sirin, and J. Tao, “Towards integrity constraints in owl”. In OWLED, volume 529, 2009.
[17]W. Hu, J. Chen, and Y. Qu,” A self-training approach for resolving object coreference on the semantic Web”, In WWW, pages 87–96, 2011.
[18]D. Wood, M. Lanthaler, and R. Cyganiak, “RDF 1.1 Concepts and Abstract Syntax”, W3C Recommendation, W3C, 2014.
[19]Y. Atig, A. Zahaf, and D. Bouchiha, "Conservativity Principle Violations for Ontology Alignment: Survey and Trends", International Journal of Information Technology and Computer Science(IJITCS), Vol.8, No.7, pp.61-71, 2016. DOI: 10.5815/ijitcs.2016.07.09
[20]C. Bizer, T. Heath, and T. Berners-Lee, “Linked Data-The Story So Far”. Int. J. Semantic Web Inf. Syst, 5(3), 1-22, 2009.

International Journal of Modern Education and Computer Science (IJMECS)