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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 userdblp:conf/www/RajabiDO17 fatcat:ztzufrncvbfzvickhqyevxwed4