Semi-automatic ontology development processes and resources /

• Corporate Author: IGI Global.
• Other Authors: Pazienza, Maria Teresa., Stellato, Armando, 1975-
• Format: Electronic
• Language: English
• Published: Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2012.
• Subjects: Semantic Web.; Ontologies (Information retrieval); Semantic networks (Information theory); Automatic data collection systems.; Knowledge acquisition (Expert systems); Data mining and ontology population; Interoperability between tools; Knowledge acquisition and data entry; Knowledge engineering; Language engineering; Linguistic knowledge acquisition; Ontology development; Ontology engineering frameworks; Ontology learning; Ontology population by text processing
• Online Access: Chapter PDFs via platform:

"This book includes state-of-the-art research results aimed at the automation of ontology development processes and the reuse of external resources becoming a reality, thus being of interest for a wide and diversified community of users"--Provided by publisher.

Table of Contents:

• 1. Ontology-based information extraction under a bootstrapping approach / Elias Iosif, Georgios Petasis, and Vangelis Karkaletsis
• 2. A modular framework to learn seed ontologies from text / Davide Eynard, Matteo Matteucci, and Fabio Marfia
• 3. SODA: a service oriented data acquisition framework / Andreea Diosteanu, Armando Stellato, and Andrea Turbati
• 4. Mining XML schemas to extract conceptual knowledge / Ivan Bedini ... [et al.]
• 5. LMF dictionary-based approach for domain ontology generation / Feten Baccar Ben Amar, Bilel Gargouri, and Abdelmajid Ben Hamadou
• 6. OntoWiktionary: constructing an ontology from the collaborative online dictionary Wiktionary / Christian M. Meyer and Iryna Gurevych
• 7. Creation and integration of reference ontologies for efficient LOD management / Mariana Damova ... [et al.]
• 8. Aggregation and maintenance of multilingual linked data / Ernesto William De Luca
• 9. Mining multiword terms from Wikipedia / Silvana Hartmann, György Szarvas, and Iryna Gurevych
• 10. Exploiting transitivity in probabilistic models for ontology learning / Francesca Fallucchi and Fabio Massimo Zanzotto.