Domain knowledge based information retrieval language

An application of annotated bayesian networks in ovarian cancer domain

P. Antal, B. De Moor, D. Timmerman, T. Mészáros, T. Dobrowiecki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

The increasing amount and variety of domain knowledge and the availability of increasingly large quantities of electronic literature requires new types of support for the development of complex knowledge models. In previous publications we proposed the application of so called Annotated Bayesian Networks (ABN), textually enriched probabilistic domain models, which help knowledge engineers and medical experts to find and organize the information necessary in model building. In this paper we describe an information retrieval language in which the formalized domain knowledge and the attached textual information can be accessed in an integrated fashion and can be used to define various retrieval schemes and relevance measures. This language, on one hand, provides maximum flexibility for knowledge engineers to exploit the available annotated domain model as contextual information. On the other hand, it allows the definition of complex, high-level queries, in which the contextual use of the annotated domain model can be optimized for clinical situations. We compare the performance of the standard and the proposed query language in the ovarian cancer domain.

Original languageEnglish
Title of host publicationProceedings of the IEEE Symposium on Computer-Based Medical Systems
Pages213-218
Number of pages6
Publication statusPublished - 2002
Eventfifteenth IEEE Symposium on Computer-Based Medical Systems - Maribor, Slovenia
Duration: Jun 4 2002Jun 7 2002

Other

Otherfifteenth IEEE Symposium on Computer-Based Medical Systems
CountrySlovenia
CityMaribor
Period6/4/026/7/02

Fingerprint

Query languages
Bayesian networks
Engineers
Availability

ASJC Scopus subject areas

  • Software

Cite this

Antal, P., De Moor, B., Timmerman, D., Mészáros, T., & Dobrowiecki, T. (2002). Domain knowledge based information retrieval language: An application of annotated bayesian networks in ovarian cancer domain. In Proceedings of the IEEE Symposium on Computer-Based Medical Systems (pp. 213-218)

Domain knowledge based information retrieval language : An application of annotated bayesian networks in ovarian cancer domain. / Antal, P.; De Moor, B.; Timmerman, D.; Mészáros, T.; Dobrowiecki, T.

Proceedings of the IEEE Symposium on Computer-Based Medical Systems. 2002. p. 213-218.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Antal, P, De Moor, B, Timmerman, D, Mészáros, T & Dobrowiecki, T 2002, Domain knowledge based information retrieval language: An application of annotated bayesian networks in ovarian cancer domain. in Proceedings of the IEEE Symposium on Computer-Based Medical Systems. pp. 213-218, fifteenth IEEE Symposium on Computer-Based Medical Systems, Maribor, Slovenia, 6/4/02.
Antal P, De Moor B, Timmerman D, Mészáros T, Dobrowiecki T. Domain knowledge based information retrieval language: An application of annotated bayesian networks in ovarian cancer domain. In Proceedings of the IEEE Symposium on Computer-Based Medical Systems. 2002. p. 213-218
Antal, P. ; De Moor, B. ; Timmerman, D. ; Mészáros, T. ; Dobrowiecki, T. / Domain knowledge based information retrieval language : An application of annotated bayesian networks in ovarian cancer domain. Proceedings of the IEEE Symposium on Computer-Based Medical Systems. 2002. pp. 213-218
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