An Artificial Immune System Approach To Semantic Document Classification

[摘要] 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. 11 Pages

[发布机构] HP Development Company

[学科分类] 计算机科学（综合）

[关键词] artificial immune system;semantic web;document classification;machine learning