A Robust System Architecture for Mining Semistructured Data

Lisa Singh, Bin Chen, Rebecca Haight, Peter Scheuermann and Kiyoko Aoki, Northwestern University

The value of extracting knowledge from semi-structured data is readily apparent with the explosion of the WWW and the advent of digital libraries. This paper proposes a versatile system architecture for text mining that maintains structured data components in a relational database and unstructured concepts in a concept library. After a detailed explanation of our system architecture, we briefly describe IRIS, our prototype rule generation system.


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