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    Topic-aware visual citation tracing via enhanced term weighting for efficient literature retrieval

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    Authors
    Zhao, Youbing
    Wei, Hui
    Wu, Shaopeng
    Parvinzamir, Farzad
    Deng, Zhikun
    Zhao, Xia
    Ersotelos, Nikolaos
    Dong, Feng
    Clapworthy, Gordon J.
    Liu, Enjie
    Affiliation
    University of Bedfordshire
    Issue Date
    2017-12-31
    Subjects
    ontology
    data management
    term weighting
    visualization
    text mining
    TF-IDF
    citation tracing
    
    Metadata
    Show full item record
    Other Titles
    DATA 2016: Data Management Technologies and Applications
    Abstract
    Efficient retrieval of scientific literature related to a certain topic plays a key role in research work. While little has been done on topic-enabled citation filtering in traditional citation tracing, this paper presents visual citation tracing of scientific papers with document topics taken into consideration. Improved term selection and weighting are employed for mining the most relevant citations. A variation of the TF-IDF scheme, which uses external domain resources as references is proposed to calculate the term weighting in a particular domain. Moreover document weight is also incorporated in the calculation of term weight from a group of citations. A simple hierarchical word weighting method is also presented to handle keyword phrases. A visual interface is designed and implemented to interactively present the citation tracks in chord diagram and Sankey diagram.
    Citation
    Zhao Y, Wei H, Wu S, Parvinzamir F, Deng Z, Zhao X, Ersotelos N, Dong F, Clapworthy G, Liu E (2017) 'Topic-aware visual citation tracing via enhanced term weighting for efficient literature retrieval', International Conference on Data Management Technologies and Applications - Colmar, Springer Verlag.
    Publisher
    Springer Verlag
    URI
    http://hdl.handle.net/10547/624191
    DOI
    10.1007/978-3-319-62911-7_5
    Additional Links
    https://link.springer.com/chapter/10.1007%2F978-3-319-62911-7_5
    Type
    Conference papers, meetings and proceedings
    Language
    en
    ISBN
    9783319629100
    ae974a485f413a2113503eed53cd6c53
    10.1007/978-3-319-62911-7_5
    Scopus Count
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