A Formal Approach to the Modelling of Digital Archives

  • Rathachai Chawuthai
  • Vilas Wuwongse
  • Hideaki Takeda
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7634)

Abstract

Understanding digital information for users who have different background knowledge becomes important for archival information systems. Key challenges include contextual knowledge changing over time and across different designated communities, and the lack of the reference knowledge among them. Therefore, in order to help users understand digital archives precisely, an archival system should preserve its resources along with their underlying community knowledge, and support the interpretation of their concepts in the right context together with relevant concepts. This research presents a formal approach to digital archives including ontology for preserving the evolution of contextual knowledge. In addition, a prototype has been developed to demonstrate the feasibility and suitability of the proposed formal approach. It is found that the proposed approach can serve as a framework to enhance the capability of the existing archival information systems with regard to the fulfillment of the need of understanding digital archives.

Keywords

Conceptual model Digital archive Formal approach Logical model Linked data Knowledge evolution Ontology Semantic web 

References

  1. 1.
    Yuan, L., Banach, M.: Institutional Repositories and Digital Preservation: Assessing Current Practices at Research Libraries (2011)Google Scholar
  2. 2.
    Flouris, G., Meghini, C.: Terminology and Wish List for a Formal Theory of Preservation. In: PV 2007 (2007)Google Scholar
  3. 3.
    Mulwad, V., Finin, T., Syed, Z., Joshi, A.: Using linked data to interpret tables. In: The First International Workshop on Consuming Linked Data, ISWC 2010 (2010)Google Scholar
  4. 4.
    Hodge, G.M.: Digital preservation and permanent access to scientific information: the state of the practice (2004)Google Scholar
  5. 5.
    Buraga, S.C., Ciobanu, G.: A RDF-based Model for Expressing Spatio-Temporal Relations between Web Sites. In: The 3rd International Conference on Web Information Systems Engineering, WISE 2002 (2002)Google Scholar
  6. 6.
    Gutierrez, C., Hurtado, C.A., Vaisman, A.A.: Temporal RDF. In: Gómez-Pérez, A., Euzenat, J. (eds.) ESWC 2005. LNCS, vol. 3532, pp. 93–107. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  7. 7.
    Bizer, C., Heath, T., Berners-Lee, T.: Linked Data-The Story So Far. In: IJSWIS, vol. 5(3), pp. 1–22 (2009)Google Scholar
  8. 8.
    Rizzolo, F., Velegrakis, Y., Mylopoulos, J., Bykau, S.: Modeling Concept Evolution: A Historical Perspective. In: Laender, A.H.F., Castano, S., Dayal, U., Casati, F., de Oliveira, J.P.M. (eds.) ER 2009. LNCS, vol. 5829, pp. 331–345. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  9. 9.
    Yildiz, B.: Ontology Evolution and Versioning The state of the art (2006)Google Scholar
  10. 10.
    Zeng, M.L., Chan, L.M.: Trends and issues in establishing interoperability among knowledge organization systems. In: JASIST, pp. 377–395 (2004)Google Scholar
  11. 11.
    Halpern, J.Y., Moses, Y.: Knowledge and common knowledge in a distributed environment. In: JACM, vol. 37(3), pp. 549–587 (1990)Google Scholar
  12. 12.
    Bouquet, P., Serafini, S., Stoermer, H.: Introducing Context into RDF Knowledge Bases. In: The 2nd Italian Semantic Web Workshop, SWAP 2005, pp. 14–16 (2005)Google Scholar
  13. 13.
    Raimond, Y., Abdallah, S.: The Event Ontology (2007)Google Scholar
  14. 14.
    Bao, J., Tao, J., McGuinness, D.L., Smart, P.: Context Representation for the Semantic Web. In: Extending the Frontiers of Society On-Line, WebSci 2010 (2010)Google Scholar
  15. 15.
    Stevens, R., Goble, C.A., Bechhofer, S.: Ontology-based Knowledge Representation for Bioinformatics. In: Briefings in Bioinformatics 2000, pp. 398–414 (2000)Google Scholar
  16. 16.
    Chowdhury, G.: From digital libraries to digital preservation research: the importance of users and context. Journal of Documentation 66(2), 207–223 (2010)MathSciNetCrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Rathachai Chawuthai
    • 1
  • Vilas Wuwongse
    • 2
  • Hideaki Takeda
    • 3
  1. 1.Asian Institute of TechnologyPrathumtaniThailand
  2. 2.Thammasat UniversityPrathumtaniThailand
  3. 3.National Institute of InformaticsTokyoJapan

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