Agent-based knowledge discovery for modeling & simulation

Jereme Haack, Andrew Cowell, Eric Marshall, Keith Fligg, Michelle Gregory, Liam McGrath

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

This paper describes extending the automated discovery mechanism of the Knowledge Encapsulation Framework (KEF) through the use of agent technology. KEF is a suite of tools to enable the linking of knowledge inputs (relevant, domain-specific evidence) to modeling and simulation projects, as well as other domains that require an effective collaborative workspace for knowledge-based tasks. This framework can be used to capture evidence (e.g., trusted material such as journal articles and government reports), discover new evidence (covering both trusted and social media), enable discussions surrounding domain-specific topics and provide automatically generated semantic annotations for improved corpus investigation. The current KEF design is described along with the new agent based knowledge management system, which addresses the weaknesses of the current knowledge acquisition approach.

Original languageEnglish
Title of host publicationProceedings - 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009
Pages543-546
Number of pages4
DOIs
StatePublished - 2009
Externally publishedYes
Event2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009 - Milano, Italy
Duration: Sep 15 2009Sep 18 2009

Publication series

NameProceedings - 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009
Volume3

Conference

Conference2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009
Country/TerritoryItaly
CityMilano
Period09/15/0909/18/09

Keywords

  • Agents
  • Discovery
  • Knowledge management

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