%0 Journal Article %1 Azevedo2014176 %A de Azevedo, Ryan Ribeiro %A Freitas, Fred %A Rocha, Rodrigo %A de Menezes, José Antônio Alves %A de Oliveira Rodrigues, Cleyton Mário %A Gomes, Mikaela Campos %D 2014 %J Procedia Computer Science %K (DL) Description Logic %N 0 %P 176 - 185 %R http://dx.doi.org/10.1016/j.procs.2014.08.097 %T Representing Knowledge in \DL\ \ALC\ from Text %U http://www.sciencedirect.com/science/article/pii/S187705091401062X %V 35 %X Abstract In this paper, we present an approach based on Ontology Learning and Natural Language Processing for automatic construction of expressive Ontologies, specifically in ØWL\ \DL\ with \ALC\ expressivity, from a natural language text. The viability of our approach is demonstrated through the generation of descriptions of complex axioms from concepts defined by users and glossaries found at Wikipedia. We evaluated our approach in an experiment with entry sentences enriched with hierarchy axioms, disjunction, conjunction, negation, as well as existential and universal quantification to impose restriction of properties. The obtained results prove that our model is an effective solution for knowledge representation and automatic construction of expressive Ontologies. Thereby, it assists professionals involved in processes for obtain, construct and model knowledge domain.

@article{Azevedo2014176, abstract = {Abstract In this paper, we present an approach based on Ontology Learning and Natural Language Processing for automatic construction of expressive Ontologies, specifically in \{OWL\} \{DL\} with \{ALC\} expressivity, from a natural language text. The viability of our approach is demonstrated through the generation of descriptions of complex axioms from concepts defined by users and glossaries found at Wikipedia. We evaluated our approach in an experiment with entry sentences enriched with hierarchy axioms, disjunction, conjunction, negation, as well as existential and universal quantification to impose restriction of properties. The obtained results prove that our model is an effective solution for knowledge representation and automatic construction of expressive Ontologies. Thereby, it assists professionals involved in processes for obtain, construct and model knowledge domain. }, added-at = {2015-01-14T21:25:14.000+0100}, author = {de Azevedo, Ryan Ribeiro and Freitas, Fred and Rocha, Rodrigo and de Menezes, José Antônio Alves and de Oliveira Rodrigues, Cleyton Mário and Gomes, Mikaela Campos}, biburl = {https://www.bibsonomy.org/bibtex/2ec906484b343886b5dbcf9a6f063d89a/diverzulu}, doi = {http://dx.doi.org/10.1016/j.procs.2014.08.097}, file = {:D\:\\ASUS-FINO\\Inkhognito_M\\David\\PhD\\Web Semântica\\Biomedicine Ontology\\Automated Acquisition\\2014-KES-Representing Knowledge in DL ALC from Text.pdf:PDF}, interhash = {5b5e734c42573d7d6293df3ffcac5249}, intrahash = {ec906484b343886b5dbcf9a6f063d89a}, issn = {1877-0509}, journal = {Procedia Computer Science }, keywords = {(DL) Description Logic}, note = {Knowledge-Based and Intelligent Information \& Engineering Systems 18th Annual Conference, KES-2014 Gdynia, Poland, September 2014 Proceedings }, number = 0, owner = {David}, pages = {176 - 185}, timestamp = {2015-01-14T21:25:14.000+0100}, title = {Representing Knowledge in \{DL\} \{ALC\} from Text }, url = {http://www.sciencedirect.com/science/article/pii/S187705091401062X}, volume = 35, year = 2014 }