Harvesting Relational and Structured Knowledge for Ontology Building in the WPro Architecture

Authors:
Daniele Bagni;Marco Cappella;Maria Teresa Pazienza;Marco Pennacchiotti;Armando Stellato
Affiliations:
DISP, University of Rome "Tor Vergata", Italy;DISP, University of Rome "Tor Vergata", Italy;DISP, University of Rome "Tor Vergata", Italy;Computational Linguistics, Saarland University, Germany;DISP, University of Rome "Tor Vergata", Italy
Venue:
AI*IA '07 Proceedings of the 10th Congress of the Italian Association for Artificial Intelligence on AI*IA 2007: Artificial Intelligence and Human-Oriented Computing
Year:
2007

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Abstract

We present two algorithms for supporting semi-automatic ontology building, integrated in WPro,a new architecturefor ontology learning from Web documents. The first algorithm automatically extracts ontological entities from tables, by using specific heuristics and WordNet-based analysis. The second algorithm harvests semantic relations from unstructured texts using Natural Language Processing techniques. The integration in WProallows a friendly interaction with the user for validating and modifying the extracted knowledge, and for uploading it into an existing ontology. Both algorithms show promising performance in the extraction process, and offer a practical means to speed-up the overall ontology building process.