文章基本信息

标题：Ontology Integration Approaches and its Impact on Text Categorization
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作者：Hamid Machhour ; Ismail Kassou
期刊名称：International Journal of Data Mining & Knowledge Management Process
印刷版ISSN：2231-007X
电子版ISSN：2230-9608
出版年度：2013
卷号：3
期号：3
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：This article will introduce some approaches for improving text categorization models by integrating previously imported ontologies. From the Reuters Corpus Volume I (RCV1) dataset, some categories very similar in content and related to telecommunications, Internet and computer areas were selected for models experiments. Several domain ontologies, covering these areas were built and integrated to categorization models for their improvements.
关键词：Text categorization; ontology integration; document annotation.