Advertisement

Abstract

Managing ubiquitous scientific knowledge is a part of daily life for scholars, while it also becomes a hot topic in the Semantic Web research community. In this paper, we propose a SKO Types framework aiming to facilitate managing ubiquitous Scientific Knowledge Objects (SKO) driven by semantic authoring, modularization, annotation and search. SKO Types framework comprises SKO Metadata Schema, SKO Patterns and SKO Editor corresponding to metadata layer, ontology layer and interface layer respectively. SKO Metadata Schema specifies sets of attributes describing SKOs individually and relationally. SKO Patterns is a three-ontology based model in order to modularize scientific publications syntactically and semantically, while SKO Editor supplies a LaTex-like mark-up language and editing environment for authoring and annotating SKOs concurrently.

Keywords

Resource Description Framework Semantic Search Semantic Match Metadata Schema Rhetorical Structure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Fausto, G., Maurizio, M., Ilya, Z.: Towards a theory of formal classification. In: Proceedings of Twentieth National Conference on Artificial Intelligence (AAAI 2005), Pittsburgh, Pennsylvania, USA, July 9-13. AAAI Press, Menlo Park (2005)Google Scholar
  2. 2.
    Baez, M., Casati, F., Marchese, M.: Universal resource lifecycle management. In: IEEE 25th International Conference on Data Engineering, ICDE 2009, pp. 1741–1748 (2009)Google Scholar
  3. 3.
    Shotton, D.: Semantic publishing: the coming revolution in scientific journal publishing. Learned Publishing 22(2), 85–94 (2009)CrossRefGoogle Scholar
  4. 4.
    National Information Standards Organization. Understanding metadata. NISO Press, Bethesda (2004)Google Scholar
  5. 5.
    IEEE learning technology standards committee (ltsc): IEEE, p. 1484.12 learning object metadata working group (2000)Google Scholar
  6. 6.
    Ganter, B., Stumme, G., Wille, R.: Formal concept analysis: Theory and applications. j-jucs 10(8), 926–926 (2004)MathSciNetGoogle Scholar
  7. 7.
    Fausto, G., Pavel, S., Mikalai, Y.: Semantic matching. Encyclopedia of Database Systems (2009)Google Scholar
  8. 8.
    Fausto, G., Mikalai, Y., Pavel, S.: Semantic matching: Algorithms and implementation. In: Spaccapietra, S., Atzeni, P., Fages, F., Hacid, M.-S., Kifer, M., Mylopoulos, J., Pernici, B., Shvaiko, P., Trujillo, J., Zaihrayeu, I. (eds.) Journal on Data Semantics IX. LNCS, vol. 4601, pp. 1–38. Springer, Heidelberg (2007)Google Scholar
  9. 9.
    Ramanathan, G., Rob, M., Eric, M.: Semantic search. In: WWW 2003: Proceedings of the 12th international conference on World Wide Web, pp. 700–709. ACM Press, New York (2003)Google Scholar
  10. 10.
    Lee, T.B., Chen, Y., Chilton, L., Connolly, D., Dhanaraj, R., Hollenbach, J., Lerer, A., Sheets, D.: Tabulator: Exploring and analyzing linked data on the semantic web. In: Proceedings of the 3rd International Semantic Web User Interaction Workshop (SWUI 2006), p. 6 (2006)Google Scholar
  11. 11.
    Völkel, M., Krötzsch, M., Vrandecic, D., Haller, H., Studer, R.: Semantic wikipedia. In: WWW 2006: Proceedings of the 15th international conference on World Wide Web, pp. 585–594. ACM, New York (2006)CrossRefGoogle Scholar
  12. 12.
    Souzis, A.: Building a semantic wiki. IEEE Intelligent Systems [see also IEEE Intelligent Systems and Their Applications] 20(5), 87–91 (2005)Google Scholar
  13. 13.
    Sauermann, L., Bernardi, A., Dengel, A.: Overview and outlook on the semantic desktop. In: Proc. of Semantic Desktop Workshop at the ISWC (2005)Google Scholar
  14. 14.
    Groza, T., Handschuh, S., Möller, K., Decker, S.: Salt - semantically annotated latex for scientific publications. In: Franconi, E., Kifer, M., May, W. (eds.) ESWC 2007. LNCS, vol. 4519, pp. 518–532. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  15. 15.
    de Waard, A., Tel, G.: The abcde format enabling semantic conference proceedings. In: SemWiki (2006)Google Scholar
  16. 16.
    Casati, F., Giunchiglia, F., Marchese, M.: Publish and perish: why the current publication and review model is killing research and wasting your money. Ubiquity 8(3), 1 (2007)CrossRefGoogle Scholar
  17. 17.
    Fausto, G., Ronald, C.: Scientific knowledge objects v.1. Technical report, University of Trento, Dipartimento di Ingegneria e Scienza dell’Informazione, Trento, Italy (2009)Google Scholar
  18. 18.
    Vickery, B.: Faceted classification for the web. Axiomathes 18, 1122–1151 (2007)Google Scholar
  19. 19.
    Chang, K.C.: Entity search engine: Towards agile best-effort information integration over the web (2007)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Hao Xu
    • 1
    • 2
  1. 1.College of Computer Science and TechnologyJilin UniversityChina
  2. 2.Department of Information Science and EngineeringUniversity of TrentoItaly

Personalised recommendations