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Supporting the Negation Operator in the Hermes Graphical Query Language for Document Ranking

Hermes is a Web-based framework designed to build personalized news services using Semantic Web technologies. Users of Hermes query news items using the Hermes Graphical Query Language (HGQL), which makes it possible to create complex queries without any knowledge of specific query languages. In this paper, we propose a document ranking model that can be used with HGQL and that supports the use of the negation operator when constructing the queries. For this purpose we adopt the p-norm Extended Boolean model and compare it favourably against TF.IDF-based approaches.