Skip to main content
SpringerLink
Log in

Using the Right Tools: Enhancing Retrieval from Marked-up Documents

  • Published:
Computers and the Humanities Aims and scope Submit manuscript

Abstract

We are experimenting with the representation of a DTD and associated documents (i.e., documents conformant to the DTD) in a knowledge representation (KR) system, in order to provide more sophisticated query and retrieval from TEI documents than current systems provide. We are using CLASSIC, a frame-based representation system developed at AT&T Bell Laboratories. Like many KR systems, CLASSIC enables the definition of structured concepts/frames, their organization into taxonomies, the creation and manipulation of individual instances of such concepts, and inference such as inheritance, relation transitivity, inverses, etc. In addition, CLASSIC provides for the key inferences of subsumption and classification. By representing a document as an individual instance of a hierarchy of concepts derived from the DTD, and by allowing the creation of additional user-defined concepts and relations, sophisticated query and retrieval operations can be performed. This paper describes CLASSIC and the formalism of description logic that underlies it, and demonstrates how it can be used for enhanced retrieval from richly encoded documents.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Artale, A., E. Franconi, N. Guarino and L. Pazzi. “Part-Whole Relations in Object-Centered Systems: An Overview”. Data and Knowledge Engineering Journal, 20 (1996), 347–383. Elsevier.

  • Blake, G.E., M. Consens, I.J. Davis, P. Kilpelainen, E. Kuikka, P-A. Larson, T. Snider and F.W. Tompa. Text/Relational Database Management Systems: Overview and Proposed SQL Extensions. Available at http://solo.uwaterloo.ca/trdbms/, 1997.

  • Borgida, A. “On the Relative Expressiveness of Description Logics and Predicate Logics”. To appear, Artificial Intelligence Journal. Available at ftp://cs.rutgers.edu/pub/borgida/dl-vsfol.dvi.Z, 1998.

  • Brachman, R. “What Is-a Is and Isn't”. IEEE Computer, October (1983), 30–36.

  • Brachman, R. and J. Schmolze. “An Overview of the KL-ONE Knowledge Representation System”. Cognitive Science, 9(2) (1985), 171–216.

    Google Scholar 

  • Brachman, R, A. Borgida, D. McGuinness and L. Resnick. “The CLASSIC Knowledge Representation System (1989)”. Proceedings of the 11th International Joint Conference on Artificial Intelligence (IJCAI), Morgan-Kaufman, 1989.

  • Chesnutt, D. “The Model Editions Partnership”. D-Lib Magazine. November (1995). Available at http://www.dlib.org/.

  • Flanders, J. The Brown University Womens Writers Project. http://www.wwp.brown.edu/, 1998.

  • Harie, S., N. Ide, J. Le Maitre, E. Murisasco and J. Véronis. “SgmlQL — An SGML Query Language”. Proceedings of SGML'96, 127 (1996).

  • Ide, N. “Corpus Encoding Standard: SGML Guidelines for Encoding Linguistic Corpora”. Proceedings of the First International Language Resources and Evaluation Conference (LREC), Granada, Spain, 1998a, pp. 463–470. CES Documentation and DTDs available at http://www.cs.vassar.edu/CES/.

  • Ide, N. “Encoding Linguistic Corpora”. Proceedings of the Sixth Workshop on Very Large Corpora (WVLC6), Montréal, Canada, 1998b, pp. 9–17.

  • Minsky, M. “A Framework for Representing Knowledge”. Mind Design. MIT Press, 1981, pp. 95–128.

  • Patel-Schneider, P. and B. Swartout. Description Logic Knowledge Representation System Specification. Fromthe KRSS group of the ARPA Knowledge Sharing Effort, available at http://dl.kr.org/dl/, 1993.

  • Simons, G. “Using architectural forms to map TEI data into an object-oriented database”. Proceedings of TEI-10, 1997.

  • Welty, C. “Intelligent Assistance for Navigating the Web”. Proceedings of the 1996 Florida AI Research Symposium. AAAI Press, 1996.

  • Welty, C. “The Ontological Nature of Subject Taxonomies”. Proceedings of the 1998 International Conference on Formal Ontology in Information Systems. IOS Press, “Frontiers in Artificial Intelligence and Applications” series, 1998.

Download references

Author information

Authors and Affiliations

  1. Computer Science Department, Vassar College, Poughkeepsie, NY, 12604-0462, USA; E-mail

    Christopher Welty & Nacy Ide

Authors
  1. Christopher Welty
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Nacy Ide
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

About this article

Cite this article

Welty, C., Ide, N. Using the Right Tools: Enhancing Retrieval from Marked-up Documents. Computers and the Humanities 33, 59–84 (1999). https://doi.org/10.1023/A:1001800717376

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1001800717376

Keywords

Search

Navigation