![Ιδρυματικό Αποθετήριο [SANDBOX]](images/dias.logo.png "Ιδρυματικό Αποθετήριο [SANDBOX]"){kind=logo}
Ιδρυματικό Αποθετήριο [SANDBOX]
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
EN
|
EL
| URI: | http://purl.tuc.gr/dl/dias/355EEAFB-C66F-4303-A0D7-6407DF7B73A6 | ||
| Έτος | 2010 | ||
| Τύπος | Περίληψη Δημοσίευσης σε Συνέδριο | ||
| Άδεια Χρήσης |
|
||
| Βιβλιογραφική Αναφορά | Euthymis Drymonas, Kalliope Zervanou, Euripides G.M. Petrakis, "Unsupervised Ontology Acquisition from Plain Texts: the OntoGain System", in 14th Intern. Conference Applications of Natural Language to Information Systems (NLDB'2010), 2010, pp. 277-287. doi:10.1007/978-3-642-13881-2_29 https://doi.org/10.1007/978-3-642-13881-2_29 | ||
| Εμφανίζεται στις Συλλογές |
We propose OntoGain, a system for unsupervised ontology acquisition from unstructured text which relies on multi-word term extraction. For the acquisition of taxonomic relations, we exploit inherent multi-word terms’ lexical information in a comparative implementation of agglomerative hierarchical clustering and formal concept analysis methods. For the detection of non-taxonomic relations, we comparatively investigate in OntoGain an association rules based algorithm and a probabilistic algorithm. The OntoGain system allows for transformation of the derived ontology into standard OWL statements. OntoGain results are compared to both hand-crafted ontologies, as well as to a state-of-the art system, in two different domains: the medical and computer science domains.
Copyright © DIAS 2013
