Lexical ambiguity and information retrieval
ACM Transactions on Information Systems (TOIS)
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
A model of information retrieval based on a terminological logic
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Query expansion using lexical-semantic relations
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Experiments on using semantic distances between words in image caption retrieval
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Word sense disambiguation for information retrieval
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
An Iterative Approach to Word Sense Disambiguation
Proceedings of the Thirteenth International Florida Artificial Intelligence Research Society Conference
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Semantic cores for representing documents in IR
Proceedings of the 2005 ACM symposium on Applied computing
Semantic indexing using WordNet senses
RANLPIR '00 Proceedings of the ACL-2000 workshop on Recent advances in natural language processing and information retrieval: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 11
An ontology-based information retrieval model
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
| Hi-index | 0.00 |
In professional environments which are characterized by a domain (Medicine, Law, etc.), information retrieval systems must be able to process precise queries, mostly because of the use of a specific domain terminology, but also because the retrieved information is meant to be part of the professional task (a diagnosis, writing a law text, etc.). In this paper we address the problem of solving domain-specific precise queries. We present an information retrieval model based on description logics to represent external knowledge resources and provide expressive document indexing and querying.