Ontology construction and concept reuse with formal concept analysis for improved web document retrieval

被引:0
|
作者
Cho, W.C. [1 ]
Richards, D. [1 ]
机构
[1] Department of Computing, Division of Information and Communication Sciences, Macquarie University, Sydney, 2109, Australia
来源
Web Intelligence and Agent Systems | 2007年 / 5卷 / 01期
关键词
Cache memory - Formal languages - Information retrieval - Search engines - World Wide Web;
D O I
暂无
中图分类号
学科分类号
摘要
The World Wide Web (WWW) has become the most popular place to collect information. However the exponential growth in the size of the WWW makes it difficult for people to find what they are looking for. Even though about 85% of engines often do not return information found to be relevant to the user. The main focus of this paper is to improve search performance by reusing keywords and Web pages which have been previously used or visited by other users. The Formal Concept Analysis (FCA) method has been adapted to maintain a concept map for the reuse of knowledge. This paper shows that both precision and recall have been improved when the technique was employed by users sharing the same knowledge in a specific-domain area.
引用
收藏
页码:109 / 126
相关论文
共 50 条
  • [41] A formal concept analysis approach for web usage mining
    Zhou, BY
    Hui, SC
    Chang, KY
    INTELLIGENT INFORMATION PROCESSING II, 2005, 163 : 437 - 441
  • [42] Conceptual Design of Document NoSQL Database with Formal Concept Analysis
    Varga, Viorica
    Janosi-Rancz, Katalin Tuende
    Kalman, Balazs
    ACTA POLYTECHNICA HUNGARICA, 2016, 13 (02) : 229 - 248
  • [43] A Method for Document Retrieval at Concept Level
    Su, Jian
    Weng, Wenyong
    Zhang, Yong
    2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31, 2008, : 11635 - +
  • [44] Inductive construction of ontologies from formal concept analysis
    Bain, M
    AI 2003: ADVANCES IN ARTIFICIAL INTELLIGENCE, 2003, 2903 : 88 - 99
  • [45] Formal Concept Analysis for Concept Collecting and Their Analysis
    Jurkevicius, Darius
    Vasilecas, Olegas
    BALTIC JOURNAL OF MODERN COMPUTING, 2009, 751 : 22 - 39
  • [46] PREFCA: A portal retrieval engine based on formal concept analysis
    Negm, Eman
    AbdelRahman, Samir
    Bahgat, Reem
    INFORMATION PROCESSING & MANAGEMENT, 2017, 53 (01) : 203 - 222
  • [47] A Concept-Relation Vector Model based Method for Web Document Retrieval
    Yuan Liu
    Li Zhanhuai
    Zhang Longbo
    Chen Shiliang
    KAM: 2008 INTERNATIONAL SYMPOSIUM ON KNOWLEDGE ACQUISITION AND MODELING, PROCEEDINGS, 2008, : 196 - 200
  • [48] The Application of Ontology Information System Based on Rough Formal Concept Analysis
    Wang, Yi
    2011 INTERNATIONAL CONFERENCE ON PHOTONICS, 3D-IMAGING, AND VISUALIZATION, 2011, 8205
  • [49] Rough Formal Concept Analysis for Semi-automatic Marine Ontology
    Huang, Dongmei
    Zhu, Hui
    ICNC 2008: FOURTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 5, PROCEEDINGS, 2008, : 114 - 118
  • [50] Relational Database Ontology Discovery Method Based on Formal Concept Analysis
    Gao, Zhi-Yong
    Liang, Yong-Quan
    Qiao, Shu-Han
    PROCEEDINGS OF THE 3RD ANNUAL INTERNATIONAL CONFERENCE ON MECHANICS AND MECHANICAL ENGINEERING (MME 2016), 2017, 105 : 727 - 735