The SEEK project (Scalable Extraction of Enterprise Knowledge) at the University of Florida is directed toward developing scaleable data access and extraction technology for overcoming problems of assembling and integrating knowledge resident in numerous legacy information systems. Additionally, this integrated information would be made available for analysis and decision-support. Development of theory and knowledge in this area is relevant to many applications that depend on integrated access to heterogeneous information including detection/prevention of terrorist attacks, tactical situation analysis in battlefields, etc. SEEK is a modular toolkit that provides the ability to extract and compose knowledge resident in sources to enable the rapid instantiation and configuration of value-added wrappers and mediators. © Springer-Verlag Berlin Heidelberg 2003.
CITATION STYLE
Hammer, J., O’Brien, W., & Schmalz, M. (2003). Scalable knowledge extraction from legacy sources with SEEK. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2665, 346–349. https://doi.org/10.1007/3-540-44853-5_27
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