Advertisement

Transformation of DSpace Database into Ontology

  • Humaira Farid
  • Sharifullah Khan
  • Muhammad Younus Javed
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8839)

Abstract

Ontologies enable controlled sharing and exchange of information among autonomous data sources. DSpace is an open source software for institutional repositories. It employs a traditional database to store the metadata that provides detailed description about digital documents. We need to transform the DSpace database into an ontology in order to share and reuse its information. However, the existing transformation systems are not able to transform the DSpace database accurately into an ontology because its schema is meta-schema. The proposed system first creates a normalized relational database for the data model of an institute from DSpace database and then transforms it into an ontology. The system has been implemented and its results demonstrate that transformation is correct.

Keywords

Digital libraries metadata semantic web ontology 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Albarrak, K.M., Sibley, E.H.: Translating relational & object-relational database models into owl models. In: Proceedings of the IEEE International Conference on Information Reuse and Integration, IRI 2009, Las Vegas,Nevada, USA, pp. 336–341 (August 2009)Google Scholar
  2. 2.
    Astrova, I., Korda, N., Kalja, A.: Rules for mapping sql relational databases to owl ontologies. In: Proceedings of the 2nd International Conference on Metadata & Semantics Research, Corfu Island in Greece, pp. 415–424 (October 2007)Google Scholar
  3. 3.
    Bizer, C., Cyganiak, R.: D2r server-publishing relational databases on the semantic web (poster). In: 5th International Semantic Web Conference (ISWC 2006), Athens, USA, p. 26 (November 2006)Google Scholar
  4. 4.
    Bizer, C., Seaborne, A.: D2rq-treating non-rdf databases as virtual rdf graphs (poster). In: 3rd International Semantic Web Conference (ISWC 2004),Hiroshima, Japan, p. 26 (November 2004)Google Scholar
  5. 5.
    Cerbah, F.: Mining the content of relational databases to learn ontologies with deeper taxonomies. In: Proceedings of 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops (WI-IAT 2008), Sydney, NSW, Australia, pp. 553–557 (December 2008)Google Scholar
  6. 6.
    Cullot, N., Ghawi, R., Yétongnon, K.: Db2owl: A tool for automatic database-to-ontology mapping. In: Proceedings of the Fifteenth Italian Symposium on Advanced Database Systems, SEBD 2007, Torre Canne, Fasano, BR, Italy, pp. 491–494 (June 2007)Google Scholar
  7. 7.
    de Laborda, C.P., Conrad, S.: Relational. owl: a data and schema representation format based on owl. In: Proceedings of the 2nd Asia-Pacific Conference on Conceptual Modelling, Newcastle, Australia, vol. 43, pp. 89–96 (January/February 2005)Google Scholar
  8. 8.
    Kappel, G., Kapsammer, E., Kargl, H., Kramler, G., Reiter, T., Retschitzegger, W., Schwinger, W., Wimmer, M.: Lifting Metamodels to Ontologies: A Step to the Semantic Integration of Modeling Languages. In: Wang, J., Whittle, J., Harel, D., Reggio, G. (eds.) MoDELS 2006. LNCS, vol. 4199, pp. 528–542. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  9. 9.
    Khan, S., Sonia, K.: R2o: Relation to ontology transformation system. Journal of Information & Knowledge Management (JIKM) 10(01), 71–89 (2011)CrossRefGoogle Scholar
  10. 10.
    Krafftt, D.B., Cappadona, N.A., Caruso, B., et al.: Vivo: Enabling national networking of scientists. In: Proceedings of Web Science Conference 2010 (WebSci 2010), Raleigh, NC, pp. 1310–1313 (April 2010)Google Scholar
  11. 11.
    McCue, J., Chiang, K., Lowe, B., et al.: Vivo: connecting people, creating a virtual life sciences community. D-Lib Magazine 13(7/8), 1–16 (2007)Google Scholar
  12. 12.
    Nagy, G., Seth, S.C., et al.: Data extraction from web tables: The devil is in the details. In: Proceedings of 11th International Conference on Document Analysis and Recognition (ICDAR 2011), Beijing, China, pp. 242–246 (September 2011)Google Scholar
  13. 13.
    Nyulas, C., OConnor, M., Tu, S.: Datamaster a plug-in for importing schemas and data from relational databases into protege. In: Proceedings of the 10th International Protege Conference, Budapest, Hungary (July 2007), http://protege.stanford.edu/conference/2007
  14. 14.
    Tansley, R., Smith, M., Walker, J.H.: The dSpace open source digital asset management system: Challenges and opportunities. In: Rauber, A., Christodoulakis, S., Tjoa, A.M. (eds.) ECDL 2005. LNCS, vol. 3652, pp. 242–253. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  15. 15.
    Thakuria, J.: Building an institutional repository with dspace. In: Proceedings of 6th Convention Planner, Nagaland, India, pp. 102–114 (November 2008)Google Scholar
  16. 16.
    Wache, H., Voegele, T., Visser, U., et al.: Ontology-based integration of informationasurvey of existing approaches. In: Proceedings of IJCAI 2001 Workshop: Ontologies and Information Sharing, Washington, USA, pp. 108–117 (August 2001)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Humaira Farid
    • 1
  • Sharifullah Khan
    • 2
  • Muhammad Younus Javed
    • 1
  1. 1.College of EMENational University of Sciences and TechnologyIslamabadPakistan
  2. 2.School of EECSNational University of Sciences and TechnologyIslamabadPakistan

Personalised recommendations