Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
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| URI | http://purl.tuc.gr/dl/dias/355EEAFB-C66F-4303-A0D7-6407DF7B73A6 | - |
| Αναγνωριστικό | https://doi.org/10.1007/978-3-642-13881-2_29 | - |
| Γλώσσα | en | - |
| Τίτλος | Unsupervised ontology acquisition from plain texts: the OntoGain System | en |
| Δημιουργός | Petrakis Evripidis | en |
| Δημιουργός | Πετρακης Ευριπιδης | el |
| Δημιουργός | Euthymios Drymonas | en |
| Δημιουργός | en | |
| Δημιουργός | Zervanou Kalliopi | en |
| Δημιουργός | Ζερβανου Καλλιοπη | el |
| Εκδότης | Springer Verlag | en |
| Περίληψη | 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. | en |
| Τύπος | Περίληψη Δημοσίευσης σε Συνέδριο | el |
| Τύπος | Conference Paper Abstract | en |
| Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
| Ημερομηνία | 2015-11-01 | - |
| Ημερομηνία Δημοσίευσης | 2010 | - |
| 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 | en |
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