Structural-based Clustering Technique OF XML Documents

被引：0
|
作者：
Posonia, Mary A. [1 ]
Jyothi, V. L. [2 ]
机构：
[1] Sathyabama Univ India, Dept Comp Sci, Madras, Tamil Nadu, India
[2] Jeppiaar Engn Coll, Dept Comp Sci, Madras, Tamil Nadu, India
来源：
PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON CIRCUITS, POWER AND COMPUTING TECHNOLOGIES (ICCPCT 2013) | 2013年
关键词：
Document Clustering; Information retrieval; XML database;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Keyword search is an efficient technique for information retrieval and querying XML documents by the casual end users without understanding the complex syntax and semantics of the structured and semi structured data. This paper proposes a method of grouping structurally similar XML documents. A schematic description of a XML documents designed as a rooted ordered trees. Efficient cIustering algorithm based on structural and semantic measure to estimate the similar XML document trees. The structural grouping of XML documents to furnish inherent cIustering and better performance.
引用
收藏
页码：1239 / 1242
页数：4
相关论文
共 50 条
  • [31] XML Documents Clustering Algorithm Based on Cluster Core And LSPX
    Zhao, Di
    Fu, HaiDong
    Ren, Hui
    Wei, Mengxue
    Chu, Jie
    [J]. PROCEEDINGS OF THE 2017 12TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2017, : 1027 - 1032
  • [32] A tree-based approach to clustering XML documents by structure
    Costa, G
    Manco, G
    Ortale, R
    Tagarelli, A
    [J]. KNOWLEDGE DISCOVERY IN DATABASES: PKDD 2004, PROCEEDINGS, 2004, 3202 : 137 - 148
  • [33] A clustering approach for XML linked documents
    Catania, B
    Maddalena, A
    [J]. 13TH INTERNATIONAL WORKSHOP ON DATABASE AND EXPERT SYSTEMS APPLICATIONS, PROCEEDINGS, 2002, : 121 - 125
  • [34] A methodology for clustering XML documents by structure
    Dalamagas, T
    Cheng, T
    Winkel, KJ
    Sellis, T
    [J]. INFORMATION SYSTEMS, 2006, 31 (03) : 187 - 228
  • [35] Algorithms for Clustering XML Documents: A Review
    Gulati, Shagun
    Munjal, Geetika
    [J]. 2015 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTER ENGINEERING AND APPLICATIONS (ICACEA), 2015, : 654 - 658
  • [36] A robust clustering method for XML documents
    Zhao, Bin
    Zhang, Yong-Sheng
    Zhang, Hua-Xiang
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INFORMATION MANAGEMENT, INNOVATION MANAGEMENT AND INDUSTRIAL ENGINEERING, VOL 1, 2008, : 19 - 23
  • [37] Clustering large scale of XML documents
    Wang, Tong
    Liu, Da-Xin
    Lin, Xuan-Zuo
    Sun, Wei
    Ahmad, Gufran
    [J]. ADVANCES IN GRID AND PERVASIVE COMPUTING, PROCEEDINGS, 2006, 3947 : 447 - 455
  • [38] Clustering and retrieval of XML documents by structure
    Hwang, JH
    Ryu, KH
    [J]. COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2005, PT 2, 2005, 3481 : 925 - 935
  • [39] Clustering XML Documents Using Closed Frequent Subtrees: A Structural Similarity Approach
    Kutty, Sangeetha
    Tran, Tien
    Nayak, Richi
    Li, Yuefeng
    [J]. FOCUSED ACCESS TO XML DOCUMENTS, 2008, 4862 : 183 - 194
  • [40] Annotation of Cultural Heritage Documents Based on XML Dictionaries and Data Clustering
    Theodosiou, Zenonas
    Georgiou, Olga
    Tsapatsoulis, Nicolas
    Kounoudes, Anastasis
    Milis, Marios
    [J]. DIGITAL HERITAGE, 2010, 6436 : 306 - +
12345