An Artificial Immune System Approach to Semantic Document Classification: Artificial Immune Systems

Julie Greensmith, Steve Cayzer

Research output: Chapter in Book/Report/Conference proceedingChapter

20 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationArtificial Immune Systems
Subtitle of host publicationSecond International Conference, ICARIS 2003, Edinburgh, UK, September 1-3, 2003. Proceedings
EditorsJon Timmis, PeterJ. Bentley, Emma Hart
PublisherSpringer
Pages136-146
Number of pages11
Volume2787
ISBN (Electronic)978-3-540-45192-1
ISBN (Print)978-3-540-40766-9
DOIs
Publication statusPublished - 2003

Publication series

NameLecture Notes in Computer Science

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    Greensmith, J., & Cayzer, S. (2003). An Artificial Immune System Approach to Semantic Document Classification: Artificial Immune Systems. In J. Timmis, P. Bentley, & E. Hart (Eds.), Artificial Immune Systems: Second International Conference, ICARIS 2003, Edinburgh, UK, September 1-3, 2003. Proceedings (Vol. 2787, pp. 136-146). (Lecture Notes in Computer Science). Springer. https://doi.org/10.1007/978-3-540-45192-1_14