We present two algorithms for supporting semi-automatic ontology building, integrated in WPro, a new architecture for 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 WPro allows 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.

Bagni, D., Cappella, M., Pazienza, M.t., Mt:, P., M, ., & Stellato, A. (2007). Harvesting relational and structured knowledge for ontology building in the WPro architecture. In R. Basili (a cura di), AI*IA 2007: ARTIFICIAL INTELLIGENCE AND HUMAN-ORIENTED COMPUTING (pp. 157-169). BERLIN : SPRINGER-VERLAG BERLIN.

Harvesting relational and structured knowledge for ontology building in the WPro architecture

PAZIENZA, MARIA TERESA;STELLATO, ARMANDO
2007

Abstract

We present two algorithms for supporting semi-automatic ontology building, integrated in WPro, a new architecture for 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 WPro allows 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.
Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni
Settore INF/01 - Informatica
eng
Rilevanza internazionale
Capitolo o saggio
Algorithms; Computer architecture; Heuristic methods; Natural language processing systems; Web services; Ontology building process; Structured knowledge; Unstructured texts; WPro architectures; Ontology
Bagni, D., Cappella, M., Pazienza, M.t., Mt:, P., M, ., & Stellato, A. (2007). Harvesting relational and structured knowledge for ontology building in the WPro architecture. In R. Basili (a cura di), AI*IA 2007: ARTIFICIAL INTELLIGENCE AND HUMAN-ORIENTED COMPUTING (pp. 157-169). BERLIN : SPRINGER-VERLAG BERLIN.
Bagni, D; Cappella, M; Pazienza, Mt; Mt:, P; M, ; Stellato, A
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2108/46034
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