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On this website you can find information about the ontology-based model for the analysis of textual data. The objective of this project is the development of an ontology-based model and a set of tools to analyze text documents and to extract useful information from them. The model is organized in layers and packages, so it is possible to extends the functionality of the model depending on the domain of the application being developed. The main advantage of an ontology based model is that it is possible to use automatic reasoners in order to infer new knowledge.

You can start by taking a look at the quick start guide or check the list of packages available at this time.

Publications

• Salguero, A. G., Espinilla, M. (2007). A flexible text analyzer based on ontologies: an application for detecting discriminatory language. Language Resources and Evaluation. In press.
• Salguero, A. G., Espinilla, M. (2006). Description Logic Class Expression Learning Applied to Sentiment Analysis. Sentiment Analysis and Ontology Engineering - Studies in Computational Intelligence, 639, pp. 93-111.