Towards Named-Entity-based Similarity Measures: Challenges and Opportunities

In this paper, we investigate challenges related to the adaptation of similarity measures used in the field of Information Retrieval to work with semantic features, i.e. Named Entities. The challenges to consider are numerous, including the accuracy of the annotation process, the adapted similarity measures, the quality of the Linked Data referred to, and the efficient access to the Semantic Web. We discuss each challenge in detail, as well as possible ways to tackle them.

Authors: De Nies T., Beecks C., De Neve W., Seidl T., Mannens E., Van de Walle R.
Published in: Proc. of the 7th International Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR) at 23rd International Conference on Information and Knowledge Management (CIKM 2014), Shanghai, China.
Language: EN
Year: 2014
Pages: 9-11
Conference: ESAIR
Type: Conference papers (peer reviewed)
Research topic: Data Analysis and Knowledge Extraction