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An Artificial Immune System Approach To Semantic Document Classification

Greensmith, Julie; Cayzer, Steve


Keyword(s): artificial immune system; semantic web; document classification; machine learning

Abstract: AIRS, a resource limited artificial immune classifier system, has performed well on elementary classification tasks. This paper proposes the use of this system for the more complex task of hierarchical, multi-class document classification. This information can then be applied to the realm of taxonomy mapping, an active research area with far reaching implications. Our motivation comes from the use of a personal semantic structure for ease of navigation within a set of Internet based documents.

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