首页    期刊浏览 2024年11月08日 星期五
登录注册

文章基本信息

  • 标题:A NEW STRUCTURAL SIMILARITY MEASURE FOR CLUSTERING MULTI-STRUCTURED DOCUMENTS
  • 本地全文:下载
  • 作者:ALI IDARROU ; DRISS MAMMASS
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2016
  • 卷号:86
  • 期号:1
  • 出版社:Journal of Theoretical and Applied
  • 摘要:Traditional methods of document comparison are based on the similarities called "surfaces": a model of similarity based on descriptive properties of objects without considering the relationships between these properties. We have proposed a new structural measure, based on sub-graph isomorphism, taking into account the distribution (order, position, etc) of components of the documents compared and the relationships between these components (preserve more sense). Our measure reflects both the contextual and structural aspects of documents compared. In this work, we will show in detail our similarity measure and study the impact of the similarity threshold (a parameter fixed previously) on generated clusters. We evaluate our approach on a corpus of multimedia documents extracted randomly from the INEX 2007 corpus and the corpus of descriptive records of books in XML format from the library of the University of Toulouse 1 Capitole.
  • 关键词:Multimedia Document; Clustering; Sub-Graph Isomorphism; Structural Similarity
国家哲学社会科学文献中心版权所有