A system architecture for database mining applications (original) (raw)
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The rapid growth and adoption of the World Wide Web has further exacerbated the user need for efficient mechanisms for information and knowledge location, selection and retrieval. Much work is required to address knowledge retrieval; for instance, users' information needs could be better interpreted, leading to accurate information retrieval. This paper is to suggest knowledge retrieval as a new research field and also proposes a knowledge retrieval model combining knowledge search with data mining technologies. In this model, data mining is integrated into the whole retrieval procedure of query optimizing, searching, results analyzing, and resources constructing. It realizes knowledge retrieval by various approaches, different levels, and multi-modes, and significantly improves knowledge retrieval level and efficiency. Furthermore, we explore related knowledge retrieval methods and algorithms including association analysis-based concept retrieval and inductive learning-based cl...
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A research prototype software system for conceptual information retrieval has been developed. The goal of the system, ca)led RUBRIC, is to provide more automated and relevant access to unformatted textual databases. The approach is to use production rules from artificial intelligence to define a hierarchy of retrieval subtopics, with fuzzy context expressions and specific word phrases at the bottom. RUBRIC allows the definition of detailed queries starting at a conceptual level, partial matching of a query and a document, selection of only the highest ranked documents for presentation to the user, and detailed explanation of how and why a particular document was selected. Initial experiments indicate that a RUBRIC rule set better matches human retrieval judgment than a standard Boolean keyword expression, given equal amounts of effort in defining each. The techniques presented may be useful in stand-alone retrieval systems, front-ends to existing information retrieval systems, or real-time document filtering and routing Index Terms-Artificial intelligence, evidential reasoning, expert systems, information retrieval.
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