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    Using Knowledge Anchors to Facilitate User Exploration of Data Graphs

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    Publication date
    2019
    Author
    Al-Tawil, M.
    Dimitrova, V.
    Thakker, Dhaval
    Keyword
    Data graphs
    Knowledge utility
    Data exploration
    Meaningful learning
    Knowledge anchors
    Exploration paths
    Rights
    © 2019 IOP Press. Reproduced in accordance with the publisher's self-archiving policy. The final publication is available at IOS Press through https://doi.org/10.3233/SW-190347.
    Peer-Reviewed
    Yes
    
    Metadata
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    Abstract
    This paper investigates how to facilitate users’ exploration through data graphs for knowledge expansion. Our work focuses on knowledge utility – increasing users’ domain knowledge while exploring a data graph. We introduce a novel exploration support mechanism underpinned by the subsumption theory of meaningful learning, which postulates that new knowledge is grasped by starting from familiar concepts in the graph which serve as knowledge anchors from where links to new knowledge are made. A core algorithmic component for operationalising the subsumption theory for meaningful learning to generate exploration paths for knowledge expansion 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. A subsumption algorithm that utilises KADG for generating exploration paths for knowledge expansion is presented, and 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. This 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.
    URI
    http://hdl.handle.net/10454/16742
    Version
    Accepted manuscript
    Citation
    Al-Tawil M, Dimitrova V and Thakker Dhaval (2019) Using Knowledge Anchors to Facilitate User Exploration of Data Graphs. Semantic Web – Interoperability, Usability, Applicability. 11(2): 205-234.
    Link to publisher’s version
    https://doi.org/10.3233/SW-190347
    Type
    Article
    Collections
    Engineering and Informatics Publications

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