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The enlarging amount of semistructured and unstructured data on heterogeneously designed tourism websites creates a need for information extraction (IE) mechanisms for semiautomatic data acquisition in order to build tourism recommender systems or tourism Web portals. In this project we analyze heterogeneity aspects of individually maintained accommodation websites and discuss the applicability of different IE types and techniques for this domain. We then develop a rule/ ontology-based IE approach and discuss the components of our prototype crawler. The TourIE platform provides a knowledge and information management infrastructure and services for automatic semantic annotation. The application allocates the processing components for some natural language documents using GATE. The emphasis lies in the modelling of knowledge, ontology and extraction rules. Everything is combined to an ontology-based information extraction system. TourIE is equipped with an ontology and a knowledge based which provides a high coverage of entities in tourism applications. The ontology and knowledge base use some Semantic Web technologies, like standards such as RDFS and OWL, as well as some ontology middleware. From the technical point of view, the TourIE platform allows automatic semantic annotation using the underlying ontology and extraction rules, and provides a summarization of the extracted information in a structured output.

Start: 01.06.2007 , End: 01.01.2008

Project Leader
A.Univ.-Prof. DI Dr. Birgit Pröll

Project Staff
Dipl.-Ing. Stefan Parzer
Dipl.-Ing. Christina Feilmayr