Towards a Personalized Query Answering Framework on the Web of Data

Enayat Rajabi, Christophe Debruyne, Declan O'Sullivan
2017 The Web Conference  
In this paper, we argue that layering a question answering system on the Web of Data based on user preferences, leads to the derivation of more knowledge from external sources and customisation of query results based on user's interests. As various users may find different things relevant because of different preferences and goals, we can expect different answers to the same query. We propose a personalised question answering framework for a user to query over Linked Data, which enhances a user
more » ... query with related preferences of the user stored in his/her user profile with the aim of providing personalized answers. We also propose the extension of the QALD-5 scoring system to define a relevancy metric that measures similarity of query answers to a user's preferences.
dblp:conf/www/RajabiDO17 fatcat:ztzufrncvbfzvickhqyevxwed4