Soft evaluation of Boolean search queries in information retrieval systems
Information Technology Research Development Applications
Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Automatic routing and retrieval using Smart: TREC-2
TREC-2 Proceedings of the second conference on Text retrieval conference
Information Processing and Management: an International Journal - Special issue: history of information science
Extended Boolean information retrieval
Communications of the ACM
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Orthogonal negation in vector spaces for modelling word-meanings and document retrieval
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Graphical representation of RDF queries
Proceedings of the 15th international conference on World Wide Web
A statistical approach to mechanized encoding and searching of literary information
IBM Journal of Research and Development
A semantic web-based approach for personalizing news
Proceedings of the 2010 ACM Symposium on Applied Computing
| Hi-index | 0.00 |
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.