A domain specific ontology driven to semantic document modelling

被引:0
|
作者
Noah, SA [1 ]
Zakaria, L
Alhadi, AC
Sembok, TMT
Yusoff, M
Zainuddin, S
Yusoff, MM
Ali, NM
机构
[1] Univ Kebangsaan Malaysia, Fac Informat Sci & Technol, Dept Informat Sci, Bangi 43600, Selangor, Malaysia
[2] Univ Kebangsaan Malaysia, Fac Informat Sci & Technol, Dept Sci & Syst Management, Bangi 43600, Selangor, Malaysia
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
To support the realisation of semantic web - as well as digital library, the semantic information content of web documents need to be specified in order to make the tangled information more accessible to search engines and other applications. A number of efforts to support the semantic representation of web documents have been proposed. One such effort is the semantic document modelling of which existing web documents are classified and organised to form a semantic document model representing the contents of respective web documents. In this paper we propose a tool meant to assist in constructing semantic document models using natural language analysis technique and a domain specific ontology. Together with users involvement and participation the tool gradually construct the semantic document model which is represented as XML.
引用
收藏
页码:670 / 675
页数:6
相关论文
共 50 条
  • [1] Document retrieval using semantic relation in domain ontology
    Lim, SY
    Park, SB
    Lee, SJ
    [J]. ADVANCES IN WEB INTELLIGENCE, PROCEEDINGS, 2005, 3528 : 266 - 271
  • [2] Domain Ontology Driven Fuzzy Semantic Information Retrieval
    Remi, S.
    Varghese, S. C.
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES, ICICT 2014, 2015, 46 : 676 - 681
  • [3] Employing a domain specific ontology to perform semantic search
    Morneau, Maxime
    Mineau, Guy W.
    [J]. CONCEPTUAL STRUCTURES: KNOWLEDGE VISUALIZATION AND REASONING, 2008, 5113 : 242 - 254
  • [4] Domain-specific ontology merging for the semantic web
    Taylor, JM
    Poliakov, D
    Mazlack, LJ
    [J]. NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society, 2005, : 418 - 423
  • [5] On ontology-driven document clustering using core semantic features
    Fodeh, Samah
    Punch, Bill
    Tan, Pang-Ning
    [J]. KNOWLEDGE AND INFORMATION SYSTEMS, 2011, 28 (02) : 395 - 421
  • [6] On ontology-driven document clustering using core semantic features
    Samah Fodeh
    Bill Punch
    Pang-Ning Tan
    [J]. Knowledge and Information Systems, 2011, 28 : 395 - 421
  • [7] Research on Semantic Retrieval System for the Document Knowledge Based on Domain Ontology
    Liu, ZiYu
    Zhang, DongLi
    Li, XueHui
    [J]. ADVANCED RESEARCH ON INDUSTRY, INFORMATION SYSTEMS AND MATERIAL ENGINEERING, PTS 1-7, 2011, 204-210 : 2171 - 2175
  • [8] Ontology Driven Development of Domain-Specific Languages
    Ceh, Ines
    Crepinsek, Matej
    Kosar, Tomaz
    Mernik, Marjan
    [J]. COMPUTER SCIENCE AND INFORMATION SYSTEMS, 2011, 8 (02) : 317 - 342
  • [9] Domain-Specific Image Caption Generator with Semantic Ontology
    Han, Seung-Ho
    Choi, Ho-Jin
    [J]. 2020 IEEE INTERNATIONAL CONFERENCE ON BIG DATA AND SMART COMPUTING (BIGCOMP 2020), 2020, : 526 - 530
  • [10] Conceptual framework for document semantic modelling: an application to document and knowledge management in the legal domain
    Jouve, D
    Amghar, Y
    Chabbat, B
    Pinon, JM
    [J]. DATA & KNOWLEDGE ENGINEERING, 2003, 46 (03) : 345 - 375