Thakker, D, Dimitrova, V, Lau, LMS et al. (2 more authors) (2014) Making sense of linked data: A semantic exploration approach. In: Karacapilidis, N, (ed.) Mastering data-intensive collaboration and decision making. Springer Science & Business Media , 71 - 87 (236). ISBN 3319026127
Abstract
There are growing arguments that Linked Data technologies can be utilised to enable user-oriented exploratory search systems for the future Internet. Recently, search over Linked Data has been studied in different domains and contexts. However, there is still limited insight into how conventional semantic browsers over Linked Data can be extended to empower exploratory search, which is open-ended, multi-faceted and iterative in nature. Empirical user studies in representative domains can identify problems and elicit requirements for innovative functionality to assist user exploration. This chapter presents such an approach—a user study with a unifocal semantic data browser over several datasets linked via domain ontologies is used to inform what intelligent features are needed in order to assist exploratory search through Linked Data. We report main problems experienced by users while conducting exploratory search tasks, based on which requirements for algorithmic support to address the observed issues are elicited. A semantic signposting approach for extending a semantic data browser is proposed as a way to address the derived requirements.
Metadata
Item Type: | Book Section |
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Authors/Creators: |
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Editors: |
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Keywords: | Semantic data exploration; user interaction; linked data; exploratory search |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Institute for Computational and Systems Science (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 11 Dec 2014 16:05 |
Last Modified: | 05 Nov 2015 05:25 |
Published Version: | http://dx.doi.org/10.1007/978-3-319-02612-1_4 |
Status: | Published |
Publisher: | Springer Science & Business Media |
Identification Number: | 10.1007/978-3-319-02612-1_4 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:81680 |