Scalable knowledge extraction from legacy sources with SEEK

Authors:
Joachim Hammer;William O'Brien;Mark Schmalz
Affiliations:
Department of Computer & Information Science & Engineering, University of Florida, Gainesville, FL;M.E. Rinker, Sr. School of Building Construction, University of Florida, Gainesville, FL;Department of Computer & Information Science & Engineering, University of Florida, Gainesville, FL
Venue:
ISI'03 Proceedings of the 1st NSF/NIJ conference on Intelligence and security informatics
Year:
2003

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Abstract

The SEEK project (Scalable Extraction of Enterprise Knowledge) atthe University of Florida is directed toward developing scaleable data accessand extraction technology for overcoming problems of assembling andintegrating knowledge resident in numerous legacy information systems.Additionally, this integrated information would be made available for analysisand decision-support. Development of theory and knowledge in this area isrelevant to many applications that depend on integrated access to heterogeneousinformation including detection/prevention of terrorist attacks, tactical situationanalysis in battlefields, etc. SEEK is a modular toolkit that provides the abilityto extract and compose knowledge resident in sources to enable the rapidinstantiation and configuration of value-added wrappers and mediators.