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Mining for Patterns of Semantic Link Usage: Do Domain Users Actually Like Semantic Browsing?

de Quincey, E; Oliver, H; Kostkova, P; Jawaheer, G; Madle, G; Diallo, G; Alexopoulou, D; ... Stevens, R; + view all (2009) Mining for Patterns of Semantic Link Usage: Do Domain Users Actually Like Semantic Browsing? In: BaezaYates, R and Berendt, B and Bertino, E and Lim, EP and Pasi, G, (eds.) 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology. (pp. pp. 50-53). IEEE: Milan, Italy, Italy. Green open access

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Abstract

A perceived limitation of the current Web is that it is comprised of static links with no connection to any underlying domain knowledge. The Semantic Web is seen as a potential solution to this problem by delivering semantically related information to users dynamically. However, the benefit to users is rarely questioned and there have been few real-world user evaluations of semantic systems. In this paper we present a user-centred evaluation of three Semantic Web Browsers (SWB) that have been extended as part of the Sealife project. The results presented are based on analysis of the server logs from each application in relation to time taken to perform pre-defined tasks along with the amount of semantic activity carried out. It was found that the user experience was dependent on the SWB used but there was some indication users will be able to find information more quickly and that users will explore semantic features if present.

Type: Proceedings paper
Title: Mining for Patterns of Semantic Link Usage: Do Domain Users Actually Like Semantic Browsing?
Event: IEEE/WIC/ACM International Conferences on Web Intelligence (WI)/Intelligent Agent Technologies (IAT),
Location: Milan, ITALY
Dates: 15 September 2009 - 18 September 2009
ISBN-13: 978-1-4244-5331-3
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/WI-IAT.2009.228
Publisher version: https://doi.org/10.1109/WI-IAT.2009.228
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Inst for Risk and Disaster Reduction
URI: https://discovery.ucl.ac.uk/id/eprint/10088960
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