Summary of the paper
| Title | Generic Ontology Learners on Application Domains |
|---|---|
| Authors | Francesca Fallucchi, Maria Teresa Pazienza and Fabio Massimo Zanzotto |
| Abstract | In ontology learning from texts, we have ontology-rich domains where we havelarge structured domain knowledge repositories or we have large general corporawith large general structured knowledge repositories such as WordNet (Miller,1995). Ontology learning methods are more useful in ontology-poor domains. Yet,in these conditions, these methods have not a particularly high performanceas training material is not sufficient. In this paper we present an LSPontology learning method that can exploit models learned from a generic domainto extract new information in a specific domain. In our model, we firstly learna model from training data and then we use the learned model to discoverknowledge in a specific domain. We tested our model adaptation strategy using abackgrounddomain that is applied to learn the isa networks in the Earth ObservationDomain as a specific domain. We will demonstrate that our method capturesdomain knowledge better than other generic models: our model better captureswhat is expected by domain experts than a baseline method based only onWordNet. This latter is better correlated with non-domain annotators asked toproduce the ontology for the specific domain. |
| Language | Information Extraction, Information Retrieval |
| Topics | Statistical and machine learning methods, Knowledge Discovery/Representation, Information Extraction, Information Retrieval |
Full paper  |
Generic Ontology Learners on Application Domains |
| Bibtex | @InProceedings{FALLUCCHI10.466, author = {Francesca Fallucchi, Maria Teresa Pazienza and Fabio Massimo Zanzotto}, title = {Generic Ontology Learners on Application Domains}, booktitle = {Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10)}, year = {2010}, month = {may}, date = {19-21}, address = {Valletta, Malta}, editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odjik, Stelios Piperidis, Mike Rosner, Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-6-7}, language = {english} } |