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. © Springer-Verlag Berlin Heidelberg 2003.
CITATION STYLE
Greensmith, J., & Cayzer, S. (2003). An artificial immune system approach to semantic document classification. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2787, 136–146. https://doi.org/10.1007/978-3-540-45192-1_14
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