Advertisement

A Native Approach to Semantics and Inference in Fine-Grained Documents

  • Arash Atashpendar
  • Laurent Kirsch
  • Jean Botev
  • Steffen Rothkugel
Conference paper
  • 995 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7774)

Abstract

This paper proposes a novel approach for enhancing document excerpts with semantic structures that are treated as first-class citizens, i.e., integrated at the system level. Providing support for semantics at the system level is in contrast with existing solutions that implement semantics as an add-on using intermediate descriptors. A framework and a toolset inspired by the Semantic Web Stack have been integrated into the Snippet System, an operating system environment that provides support for fine-grained representation and management of documents and the relationships that exist between arbitrary excerpts. The high granularity, combined with native support for semantics, is leveraged to alleviate some of the existing personal information management problems in terms of content retrieval and document engineering. The resulting framework offers some inherent advantages in terms of refined resource description, content and knowledge reuse along with self-contained documents that retain their metadata without depending on intermediate entities.

Keywords

System-integrated Semantics Personal Information Management Document Engineering Visualization 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Katifori, V., Poggi, A., Scannapieco, M., Catarci, T., Ioannidis, Y.: Ontopim: How to rely on a personal ontology for personal information management. In: Proc. of the 1st Workshop on the Semantic Desktop (2005)Google Scholar
  2. 2.
    Cai, Y., Dong, X.L., Halevy, A., Liu, J.M., Madhavan, J.: Personal information management with semex. In: SIGMOD 2005: Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data, pp. 921–923. ACM Press (2005)Google Scholar
  3. 3.
    Sauermann, L.: The semantic desktop - a basis for personal knowledge management. In: Proceedings of the I-KNOW, pp. 294–301 (2005)Google Scholar
  4. 4.
    Landsdale, M.W.: The psychology of personal information management. Applied Ergonomics 19, 55–66 (1988)CrossRefGoogle Scholar
  5. 5.
    Boardman, R., Sasse, M.A.: “Stuff goes into the computer and doesn’t come out”: a cross-tool study of personal information management. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2004, pp. 583–590. ACM, New York (2004)CrossRefGoogle Scholar
  6. 6.
    Waks, S.: Lateral Thinking and Technology in Education. Journal of Science Education and Technology 6(4), 245–255 (1997)CrossRefGoogle Scholar
  7. 7.
    Kirsch, L., Botev, J., Rothkugel, S.: The Snippet System - Reusing and Connecting Documents. In: Proceedings of the 7th International Conference on Digital Information Management, ICDIM 2012. IEEE (2012)Google Scholar
  8. 8.
    Kirsch, L., Esch, M., Rothkugel, S.: The Snippet System – Fine-Granular Management of Documents and Their Relationships. In: Proceedings of the 6th IASTED International Conference on Human-Computer Interaction (2011)Google Scholar
  9. 9.
    Kirsch, L., Botev, J., Rothkugel, S.: An Extensible Tool Set for Creating and Connecting Reusable Learning Resources. In: Proceedings of World Conference on Educational Media, Hypermedia and Telecommunications, EdMedia 2012, pp. 1434–1442. AACE (2012)Google Scholar
  10. 10.
    Hepp, M., García, R., Radinger, A.: Rdf2rdfa: Turning rdf into snippets for copy-and-paste. In: 8th International Semantic Web Conference (ISWC 2009) (October 2009)Google Scholar
  11. 11.
    Navarro-Galindo, J.L., Jiménez, J.S.: Flexible range semantic annotations based on RDFa. In: MacKinnon, L.M. (ed.) BNCOD 2010. LNCS, vol. 6121, pp. 122–126. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  12. 12.
    Lanfranchi, V., Ciravegna, F., Petrelli, D.: Semantic web-based document: Editing and browsing in aktiveDoc. In: Gómez-Pérez, A., Euzenat, J. (eds.) ESWC 2005. LNCS, vol. 3532, pp. 623–632. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  13. 13.
    Mayfield, J., Finin, T.: Information retrieval on the semantic web: Integrating inference and retrieval. In: Proceedings of the SIGIR Workshop on the Semantic Web (2003)Google Scholar
  14. 14.
    Brasethvik, T., Gulla, J.A.: A conceptual modeling approach to semantic document retrieval. In: Pidduck, A.B., Mylopoulos, J., Woo, C.C., Ozsu, M.T. (eds.) CAiSE 2002. LNCS, vol. 2348, pp. 167–182. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  15. 15.
    Rayson, P., Garside, R., Sawyer, P.: Assisting requirements engineering with semantic document analysis. In: Proceedings of RIAO 2000 (Recherche d’Inforrnafions Assisfie par Ordinateur, Computer-Assisted Information Retrieval) International Conference, College de, pp. 12–14 (2000)Google Scholar
  16. 16.
    Becks, A., Sklorz, S., Jarke, M.: A modular approach for exploring the semantic structure of technical document collections. In: Proceedings of AVI 2000, Int. Working Conference on Advanced Visual Interfaces, pp. 298–301 (2000)Google Scholar
  17. 17.
    Mutton, P., Golbeck, J.: Visualization of semantic metadata and ontologies. In: Proceedings of the Seventh International Conference on Information Visualization, IV 2003, p. 300. IEEE Computer Society, Washington, DC (2003)Google Scholar
  18. 18.
    Telea, R., Frasincar, F., Jan Houben, G.: Visualization of rdf(s)-based information. In: Proceedings of the 7th International Conference on Information Visualization. Press (2003) 1093–9547Google Scholar
  19. 19.
    Finin, T., Peng, Y., Scott, R., Joel, C., Joshi, S.A., Reddivari, P., Pan, R., Doshi, V., Ding, L.: Swoogle: A search and metadata engine for the semantic web. In: Proceedings of the Thirteenth ACM Conference on Information and Knowledge Management, pp. 652–659. ACM Press (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Arash Atashpendar
    • 1
  • Laurent Kirsch
    • 1
  • Jean Botev
    • 1
  • Steffen Rothkugel
    • 1
  1. 1.Faculty of Science, Technology and CommunicationUniversity of LuxembourgLuxembourg

Personalised recommendations