2012-07-12
Querying and ranking news items in the Hermes framework
Publication
Publication
Presented at the
27th Annual ACM Symposium on Applied Computing, SAC 2012 (March 2012)
Hermes is a Web-based framework designed to build personalized news services using Semantic Web technologies. It makes use of ontologies for knowledge representation, natural language processing techniques for semantic text analysis, and semantic query languages for specifying the desired information. This paper presents the Hermes Graphical Query Language (HGQL). HGQL makes it possible to create structured queries in Hermes. Structured queries use disjunctive, conjunctive, negation, and pattern operators. In addition, this paper presents a ranking algorithm based on the queries made using HGQL.
Additional Metadata | |
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doi.org/10.1145/2245276.2245405, hdl.handle.net/1765/82488 | |
27th Annual ACM Symposium on Applied Computing, SAC 2012 | |
Organisation | Erasmus University Rotterdam |
Verheij, A., Kleijn, A., Frasincar, F., Vandic, D., & Hogenboom, F. (2012). Querying and ranking news items in the Hermes framework. Presented at the 27th Annual ACM Symposium on Applied Computing, SAC 2012. doi:10.1145/2245276.2245405 |