Context-based citation retrieval

被引:2
|
作者
Sendhilkumar S. [1 ]
Mahalakshmi G.S. [1 ]
机构
[1] Department of Computer Science and Engineering, Anna University, Chennai-25, Tamilnadu
关键词
Ontology; Vague description;
D O I
10.1504/IJNVO.2011.037163
中图分类号
学科分类号
摘要
Scientific writing requires gathering information, evaluating it, and using and citing the work of others as references. These references should be relevant and provide more information to the context where they have been cited, thereby providing ease of understanding to the readers. In the process, relevant references are manually selected and cited by the document creator, but a few relevant papers may be left unnoticed by him/her. But a context-based reference system automatically retrieves relevant reference papers that are candidates for citation in the selected context of a seed document, thereby aiding the document creator to refer to unnoticed references and check the relevancy of already cited ones. In the context-based citation retrieval system, relevant references are filtered after mapping the concepts with the domain ontology and document ontology. The filtered results are then ranked based on factors like publication and the type of paper after user feedback. © 2011 Inderscience Enterprises Ltd.
引用
收藏
页码:98 / 122
页数:24
相关论文
共 50 条
  • [1] Enhanced Context-based Query-to-Concept mapping in Social Image Retrieval
    Ksibi, Amel
    Ben Ammar, Anis
    Ben Amar, Chokri
    2013 11TH INTERNATIONAL WORKSHOP ON CONTENT-BASED MULTIMEDIA INDEXING (CBMI 2013), 2013, : 85 - 89
  • [2] Context-based literature digital collection search
    Nattakarn Ratprasartporn
    Jonathan Po
    Ali Cakmak
    Sulieman Bani-Ahmad
    Gultekin Ozsoyoglu
    The VLDB Journal, 2009, 18 : 277 - 301
  • [3] Context-based matching for Web service composition
    Brahim Medjahed
    Yacine Atif
    Distributed and Parallel Databases, 2007, 21 : 5 - 37
  • [4] Context-based matching for Web service composition
    Medjahed, Brahim
    Atif, Yacine
    DISTRIBUTED AND PARALLEL DATABASES, 2007, 21 (01) : 5 - 37
  • [5] A Context-Based Model for the Interpretation of Polysemous Terms
    Tsinaraki, Chrisa
    Velegrakis, Yannis
    Kiyavitskaya, Nadzeya
    Mylopoulos, John
    ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS: OTM 2010, PT II, 2010, 6427 : 939 - 956
  • [6] Context-based information analysis for the Web environment
    Vesile Evrim
    Dennis McLeod
    Knowledge and Information Systems, 2014, 38 : 109 - 140
  • [7] Context-based literature digital collection search
    Ratprasartporn, Nattakarn
    Po, Jonathan
    Cakmak, Ali
    Bani-Ahmad, Sulieman
    Ozsoyoglu, Gultekin
    VLDB JOURNAL, 2009, 18 (01): : 277 - 301
  • [8] Context-based information analysis for the Web environment
    Evrim, Vesile
    McLeod, Dennis
    KNOWLEDGE AND INFORMATION SYSTEMS, 2014, 38 (01) : 109 - 140
  • [9] Context-based Reflection Support Counseling Agent
    Shinozaki, Tetsuo
    Yamamoto, Yukiko
    Takada, Kohei
    Tsuruta, Setsuo
    8TH INTERNATIONAL CONFERENCE ON SIGNAL IMAGE TECHNOLOGY & INTERNET BASED SYSTEMS (SITIS 2012), 2012, : 619 - 628
  • [10] A Review of Content-Based and Context-Based Recommendation Systems
    Javed, Umair
    Shaukat, Kamran
    Hameed, Ibrahim A.
    Iqbal, Farhat
    Alam, Talha Mahboob
    Luo, Suhuai
    INTERNATIONAL JOURNAL OF EMERGING TECHNOLOGIES IN LEARNING, 2021, 16 (03): : 274 - 306