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Improving self-organising information maps as navigational tools: A semantic approach

Lin, YL and Brusilovsky, P and He, D (2011) Improving self-organising information maps as navigational tools: A semantic approach. Online Information Review, 35 (3). 401 - 424. ISSN 1468-4527

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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. © 2011 Emerald Group Publishing Limited.


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Item Type: Article
Status: Published
CreatorsEmailPitt UsernameORCID
Lin, YL
Brusilovsky, Ppeterb@pitt.eduPETERB0000-0002-1902-1464
He, Ddah44@pitt.eduDAH440000-0002-4645-8696
Date: 7 July 2011
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: Online Information Review
Volume: 35
Number: 3
Page Range: 401 - 424
DOI or Unique Handle: 10.1108/14684521111151441
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISSN: 1468-4527
Date Deposited: 03 Aug 2012 16:26
Last Modified: 24 Jun 2019 14:55


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