HGQL: The Hermes Graphical Query Language

This paper proposes an extension to the Hermes Framework, allowing the user to create advanced graphical queries. 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. The extension proposed in this paper offers the user the ability to create powerful queries for news items extraction in an intuitive way. The previous method allows only concept selection, however this has been extended with anonymous concepts, conjunctions, disjunctions, negations, text match filters and triple based patterns.