Al-Tawil, M, Dimitrova, VG orcid.org/0000-0002-7001-0891, Thakker, D et al. (1 more author) (2017) Evaluating Knowledge Anchors in Data Graphs against Basic Level Objects. In: ICWE: International Conference on Web Engineering (Lecture Notes in Computer Science). 17th International Conference on Web Engineering, 05-08 Jun 2017, Rome, Italy. Springer Verlag , pp. 3-22. ISBN 978-3-319-60130-4
Abstract
The growing number of available data graphs in the form of RDF Linked Da-ta enables the development of semantic exploration applications in many domains. Often, the users are not domain experts and are therefore unaware of the complex knowledge structures represented in the data graphs they in-teract with. This hinders users’ experience and effectiveness. Our research concerns intelligent support to facilitate the exploration of data graphs by us-ers who are not domain experts. We propose a new navigation support ap-proach underpinned by the subsumption theory of meaningful learning, which postulates that new concepts are grasped by starting from familiar concepts which serve as knowledge anchors from where links to new knowledge are made. Our earlier work has developed several metrics and the corresponding algorithms for identifying knowledge anchors in data graphs. In this paper, we assess the performance of these algorithms by considering the user perspective and application context. The paper address the challenge of aligning basic level objects that represent familiar concepts in human cog-nitive structures with automatically derived knowledge anchors in data graphs. We present a systematic approach that adapts experimental methods from Cognitive Science to derive basic level objects underpinned by a data graph. This is used to evaluate knowledge anchors in data graphs in two ap-plication domains - semantic browsing (Music) and semantic search (Ca-reers). The evaluation validates the algorithms, which enables their adoption over different domains and application contexts.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2017, Springer. This is an author produced version of a paper published in ICWE: International Conference on Web Engineering (Lecture Notes in Computer Science). Uploaded in accordance with the publisher's self-archiving policy. The final publication is available at https://dx.doi.org/10.1007/978-3-319-60131-1_1 |
Keywords: | Data Graphs; Basic Level Objects; Knowledge Anchors; Usable Semantic Data Exploration |
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 |
Depositing User: | Symplectic Publications |
Date Deposited: | 13 Apr 2017 09:52 |
Last Modified: | 29 Jul 2017 17:56 |
Status: | Published |
Publisher: | Springer Verlag |
Identification Number: | 10.1007/978-3-319-60131-1_1 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:115021 |