Acquisition of knowledge from data

Gio C.M. Wiederhold, Michael G. Walker, Robert L. Blum, Stephen Downs

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

8 Scopus citations

Abstract

The work described here addresses two problems: information overload of database users, and knowledge acquisition for use in Al systems. We have implemented programs that use artificial intelligence techniques to prepare high-level, intelligent summaries of databases, and that use empirical databases in turn, in combination with statistical and Al methods, to generate new domain knowledge base. Both programs are examples of the aquisition of knowledge from data: the Summarization Module fuses large amounts of data succinctly, the Discovery Module extracts new knowledge present implicitly in data. We describe the implementation of our programs and outline planned extensions which combine both approaches. This work is distinguished from current knowledge engineering approaches in that we prime the system with expert knowledge, and then use factual data to learn more about the domain.

Original languageEnglish (US)
Title of host publicationProceedings of the ACM SIGART International Symposium on Methodologies for Intelligent Systems, ISMIS 1986
PublisherAssociation for Computing Machinery, Inc
Pages74-84
Number of pages11
ISBN (Electronic)0897912063, 9780897912068
DOIs
StatePublished - Dec 1 1986
Externally publishedYes
Event1986 ACM SIGART International Symposium on Methodologies for Intelligent Systems, ISMIS 1986 - Knoxville, United States
Duration: Oct 22 1986Oct 24 1986

Other

Other1986 ACM SIGART International Symposium on Methodologies for Intelligent Systems, ISMIS 1986
CountryUnited States
CityKnoxville
Period10/22/8610/24/86

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

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  • Cite this

    Wiederhold, G. C. M., Walker, M. G., Blum, R. L., & Downs, S. (1986). Acquisition of knowledge from data. In Proceedings of the ACM SIGART International Symposium on Methodologies for Intelligent Systems, ISMIS 1986 (pp. 74-84). Association for Computing Machinery, Inc. https://doi.org/10.1145/12808.12817