Automated knowledge annotation for dynamic collaborative environments

Andrew J. Cowell, Michelle L. Gregory, Eric J. Marshall, Liam McGrath

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

Abstract

This poster describes the Knowledge Encapsulation Framework (KEF), a suite of tools to enable automated knowledge annotation for modeling and simulation projects. This framework can be used to capture evidence (e.g., facts extracted from journal articles and government reports), discover new evidence (from similar peer- reviewed material as well as social media), enable discussions surrounding domain-specific topics and provide automatically generated semantic annotations for improved corpus investigation.

Original languageEnglish
Title of host publicationProceedings of the 22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22
Pages304-305
Number of pages2
StatePublished - 2009
Externally publishedYes
Event22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22 - Sanibel Island, FL, United States
Duration: Mar 19 2009Mar 21 2009

Publication series

NameProceedings of the 22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22

Conference

Conference22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22
Country/TerritoryUnited States
CitySanibel Island, FL
Period03/19/0903/21/09

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