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

Description

No / 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.

Links & Downloads

1. 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.
2. http://hdl.handle.net/10454/10872

Tags

Linked data

Knowledge utility

User modelling

Basic level concepts

Additional Fields

Identifer	oai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/10872
Date	January 2015
Creators	Al-Tawil, M., Dimitrova, V., Thakker, Dhaval
Source Sets	Bradford Scholars
Language	English
Detected Language	English
Type	Conference paper, No full-text in the repository