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.
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References
Yuan, L., Banach, M.: Institutional Repositories and Digital Preservation: Assessing Current Practices at Research Libraries (2011)
Flouris, G., Meghini, C.: Terminology and Wish List for a Formal Theory of Preservation. In: PV 2007 (2007)
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)
Hodge, G.M.: Digital preservation and permanent access to scientific information: the state of the practice (2004)
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)
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)
Bizer, C., Heath, T., Berners-Lee, T.: Linked Data-The Story So Far. In: IJSWIS, vol. 5(3), pp. 1–22 (2009)
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)
Yildiz, B.: Ontology Evolution and Versioning The state of the art (2006)
Zeng, M.L., Chan, L.M.: Trends and issues in establishing interoperability among knowledge organization systems. In: JASIST, pp. 377–395 (2004)
Halpern, J.Y., Moses, Y.: Knowledge and common knowledge in a distributed environment. In: JACM, vol. 37(3), pp. 549–587 (1990)
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)
Raimond, Y., Abdallah, S.: The Event Ontology (2007)
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)
Stevens, R., Goble, C.A., Bechhofer, S.: Ontology-based Knowledge Representation for Bioinformatics. In: Briefings in Bioinformatics 2000, pp. 398–414 (2000)
Chowdhury, G.: From digital libraries to digital preservation research: the importance of users and context. Journal of Documentation 66(2), 207–223 (2010)
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Chawuthai, R., Wuwongse, V., Takeda, H. (2012). A Formal Approach to the Modelling of Digital Archives. In: Chen, HH., Chowdhury, G. (eds) The Outreach of Digital Libraries: A Globalized Resource Network. ICADL 2012. Lecture Notes in Computer Science, vol 7634. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34752-8_24
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DOI: https://doi.org/10.1007/978-3-642-34752-8_24
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