Abstract
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.
| Original language | English |
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| Pages | 73-74 |
| Number of pages | 2 |
| Publication status | Published - 23 Feb 2012 |
| Event | Twelfth Dutch-Belgian Information Retrieval Workshop (DIR 2012) - Ghent, Belgium Duration: 23 Feb 2012 → 24 Feb 2012 |
Conference
| Conference | Twelfth Dutch-Belgian Information Retrieval Workshop (DIR 2012) |
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| City | Ghent, Belgium |
| Period | 23/02/12 → 24/02/12 |
Research programs
- EUR ESE 32