Al-Tawil, M, Dimitrova, V orcid.org/0000-0002-7001-0891 and Thakker, D (2020) Using knowledge anchors to facilitate user exploration of data graphs. Semantic Web, 11 (2). pp. 205-234. ISSN 1570-0844
Abstract
This paper investigates how to facilitate users’ exploration through data graphs. The prime focus is on knowledge utility, i.e. increasing a user’s domain knowledge while exploring a data graph, which is crucial in the vast number of user-facing semantic web applications where the users are not experts in the domain. We introduce a highly unique exploration support mechanism underpinned by the subsumption theory for meaningful learning. A core algorithmic component for operationalising the subsumption theory for meaningful learning is the automatic identification of knowledge anchors in a data graph (KADG). We present several metrics for identifying KADG which are evaluated against familiar concepts in human cognitive structures. The second key component is a subsumption algorithm that utilises KADG for generating exploration paths for knowledge expansion. The implementation of the algorithm is applied in the context of a Semantic data browser in a music domain. The resultant exploration paths are evaluated in a task-driven experimental user study compared to free data graph exploration. The findings show that exploration paths, based on subsumption and using knowledge anchors, lead to significantly higher increase in the users’ conceptual knowledge and better usability than free exploration of data graphs. The work opens a new avenue in semantic data exploration which investigates the link between learning and knowledge exploration. We provide the first framework that adopts educational theories to inform data graph exploration for knowledge expansion which extends the value of exploration and enables broader applications of data graphs in systems where the end users are not experts in the specific domain.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | This article is protected by copyright. This is an author produced version of a paper published in Semantic Web. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Data graphs; knowledge utility; data exploration; meaningful learning; knowledge anchors; exploration paths |
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) |
Funding Information: | Funder Grant number EU - European Union 257184 EU - European Union 257184 |
Depositing User: | Symplectic Publications |
Date Deposited: | 15 Jan 2019 14:21 |
Last Modified: | 24 Feb 2020 10:52 |
Status: | Published |
Publisher: | IOS Press |
Identification Number: | 10.3233/SW-190347 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:141069 |