AIM: An XML-based ECA rule language for supporting a framework for managing complex information

Essam Mansour, Kudakwashe Dube, Bing Wu

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

2 Citations (Scopus)

Abstract

This paper presents an XML-based event-condition-action (ECA) rule language, AIM, for supporting the SEM framework and approach to the computer-based incorporation of best practice in daily work and the subsequent management of the resulting complex information. SEM framework provides knowledge and information management support in terms of three planes: the specification plane, the execution plane and the manipulation plane. AIM language is an assembly of declarative language modules for supporting the three planes of the SEM framework and envisages its use within the context of XML and databases.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages232-241
Number of pages10
Volume4824 LNCS
Publication statusPublished - 1 Dec 2007
Externally publishedYes
EventInternational Symposium on Rule Interchange and Applications, RuleML-2007 - Orlando, FL, United States
Duration: 25 Oct 200726 Oct 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4824 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

OtherInternational Symposium on Rule Interchange and Applications, RuleML-2007
CountryUnited States
CityOrlando, FL
Period25/10/0726/10/07

    Fingerprint

Keywords

  • Active database
  • Clinical practice guidelines
  • ECA rule paradigm
  • Information management
  • XML language

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Mansour, E., Dube, K., & Wu, B. (2007). AIM: An XML-based ECA rule language for supporting a framework for managing complex information. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4824 LNCS, pp. 232-241). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4824 LNCS).