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Using Basic Level Concepts in a Linked Data Graph to Detect User's Domain Familiarity

Al-Tawil, M.
; 
Dimitrova, V.
; 
Thakker, Dhaval
Publication Date
2015
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Linked data, Knowledge utility, User modelling, Basic level concepts
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Engineering and Digital Technology Publications
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Abstract
We investigate how to provide personalized nudges to aid a user’s exploration of linked data in a way leading to expanding her domain knowledge. This requires a model of the user’s familiarity with domain concepts. The paper examines an approach to detect user domain familiarity by exploiting anchoring concepts which provide a backbone for probing interactions over the linked data graph. Basic level concepts studied in Cognitive Science are adopted. A user study examines how such concepts can be utilized to deal with the cold start user modelling problem, which informs a probing algorithm.
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http://hdl.handle.net/10454/10872
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Al-Tawil M, Dimitrova V and Thakker D (2015) Using Basic Level Concepts in a Linked Data Graph to Detect User's Domain Familiarity. In: Proceedings of the 23rd Conference on User Modelling, Adaption and Personalization. 29 Jun-3 Jul, 2015, Trinity College, Dublin, Ireland.
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