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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/119532


    Title: Improving Self-Organising Information Maps as Navigational Tools: A Semantic Approach.
    Authors: 林怡伶
    Lin, Yi‐ling
    Brusilovsky, Peter;He, Daqing
    Contributors: 資管系
    Keywords: Self‐organising maps;Semantic representations;Quality evaluation;Feature extraction;Semantics;Maps
    Date: 2011
    Issue Date: 2018-08-24 15:02:38 (UTC+8)
    Abstract: Purpose : – The goal of the research is to explore whether the use of higher‐level semantic features can help us to build better self‐organising map (SOM) representation as measured from a human‐centred perspective. The authors also explore an automatic evaluation method that utilises human expert knowledge encapsulated in the structure of traditional textbooks to determine map representation quality. Design/methodology/approach : – Two types of document representations involving semantic features have been explored – i.e. using only one individual semantic feature, and mixing a semantic feature with keywords. Experiments were conducted to investigate the impact of semantic representation quality on the map. The experiments were performed on data collections from a single book corpus and a multiple book corpus. Findings : – Combining keywords with certain semantic features achieves significant improvement of representation quality over the keywords‐only approach in a relatively homogeneous single book corpus. Changing the ratios in combining different features also affects the performance. While semantic mixtures can work well in a single book corpus, they lose their advantages over keywords in the multiple book corpus. This raises a concern about whether the semantic representations in the multiple book corpus are homogeneous and coherent enough for applying semantic features. The terminology issue among textbooks affects the ability of the SOM to generate a high quality map for heterogeneous collections. Originality/value : – The authors explored the use of higher‐level document representation features for the development of better quality SOM. In addition the authors have piloted a specific method for evaluating the SOM quality based on the organisation of information content in the map.
    Relation: Online Information Review, Vol.35, No.3, pp.401-424
    Data Type: article
    DOI link: https://doi.org/10.1108/14684521111151441
    DOI: 10.1108/14684521111151441
    Appears in Collections:[Department of MIS] Periodical Articles

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