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SKEL ’ s Research on Machine Learning for Information Integration on the Web

This short paper highlights the research activity of the Software and Knowledge Engineering Laboratory (SKEL) on machine learning methods to support information Integration on the Web. SKEL belongs in the Institute of Informatics and Telecommunications of the National Centre for Scientific Research “Demokritos”, and has recently coordinated the European research project CROSSMARC, which produced a complete prototype for information integration, employing state-of-the-art techniques for information gathering, information extraction, ontology maintenance and personalization. Following a brief description of the CROSSMARC architecture, this paper presents recent research activity in SKEL towards the automation of information extraction and ontology maintenance. For this purpose, novel machine learning methods have been developed in the areas of grammatical inference, stacked generalization and compression-based clustering.