Word sense disambiguation for free-text indexing using a massive semantic network
CIKM '93 Proceedings of the second international conference on Information and knowledge management
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
WordNet: a lexical database for English
Communications of the ACM
HyPursuit: a hierarchical network search engine that exploits content-link hypertext clustering
Proceedings of the the seventh ACM conference on Hypertext
An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources
IEEE Transactions on Knowledge and Data Engineering
| Hi-index | 0.00 |
In the last few years, the problem of defining efficient techniques for knowledge representation is becoming a challenging topic in both academic and industrial community. The large amount of available data creates several problems in terms of information overload. In this framework, we assume that new approaches for knowledge definition and representation may be useful, in particular the ones based on the concept of ontology. In this paper we propose a suitable model for knowledge representation purposes using linguistic concepts and properties. We implement our model in a system which, using novel techniques and metrics, analyzes documents from a semantic point of view using as context of interest the Web. Experiments are performed on a test set built using a directory service to have information about analyzed documents. The obtained results compared with other similar systems show an effective improvement.