Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/355EEAFB-C66F-4303-A0D7-6407DF7B73A6 | - |
| Identifier | https://doi.org/10.1007/978-3-642-13881-2_29 | - |
| Language | en | - |
| Title | Unsupervised ontology acquisition from plain texts: the OntoGain System | en |
| Creator | Petrakis Evripidis | en |
| Creator | Πετρακης Ευριπιδης | el |
| Creator | Euthymios Drymonas | en |
| Creator | en | |
| Creator | Zervanou Kalliopi | en |
| Creator | Ζερβανου Καλλιοπη | el |
| Publisher | Springer Verlag | en |
| Content Summary | 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 |
| Type of Item | Περίληψη Δημοσίευσης σε Συνέδριο | el |
| Type of Item | Conference Paper Abstract | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-11-01 | - |
| Date of Publication | 2010 | - |
| Bibliographic Citation | 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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