Abstract
In this paper, we present a natural language translator for expressive ontologies and ensure that it is a viable solution to the automated acquisition of ontologies and complete axioms, constituting an effective solution for automating the expressive ontology building Process. The translator is based on syntactic and semantic text analysis. 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 initial experiment with entry sentences enriched with hierarchy axioms, disjunction, conjunction, negation, as well as existential and universal quantification to impose restriction of properties.
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References
Buitelaar, P., Cimiano, P.: Ontology learning and population: Bridging the gap between text and knowledge. In: Frontiers in Artificial Intelligence and Applications Series, vol. 167. IOS Press (2008)
Buitelaar, P., Cimiano, P., Magnini, B. (eds.): Ontology learning from text: Methods, applications and evaluation, pp. 3–12. IOS Press (2005)
Cimiano, P., Völker, J.: Text2Onto. NLDB, 227–238 (2005)
Sirin, E., Parsia, B., Grau, B.C., Kalyanpur, A., Katz, Y.: Pellet: A practical OWL-DL Reasoner. J. Web Sem. 5(2), 51–53 (2007)
Gómez-Pérez, A., Fernández-López, M., Corcho, O.: Ontological Engineering with examples from the areas of Knowledge Management, e-Commerce and the Semantic Web. In: Advanced Information and Knowledge Processing. Springer, London (2004)
Horrocks, I., et al.: OWL: A Description-Logic-Based Ontology Language for the Semantic Web. In: The Description Logic Handbook: Theory, Implementation and Applications, 2nd edn., pp. 458–486. Cambridge University Press (2007)
Madche, A., Staab, S.: Ontology learning for the semantic web. IEEE Intelligent Systems 16(2), 72–79 (2001)
Pease, A.: Ontology: A Practical Guide. Published by. Articulate Software Press. USA (2011)
Simperl, E., VTempich, C.: Exploring the Economical Aspects of Ontology Engineering synthetic. In: Handbook on Ontologies, International Handbooks on Information Systems, pp. 337–358. Springer, Berlin (2009)
Völker, J.: Learning Expressive Ontologies. No. 002. In: Studies on the Semantic Web. AKA Verlag / IOS Press (2009) ISBN: 978-3-89838-621-0
Zouaq, A.: An Overview of Shallow and Deep Natural Language Processing for Ontology Learning. In: Ontology Learning and Knowledge Discovery Using the Web: Challenges and Recent Advances, vol. 2, pp. 16–37. IGI Global. EUA (2011) ISBN 978-1-60960-625-1 (hardcover)
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de Azevedo, R.R., Freitas, F., Rocha, R., de Menezes, J.A.A., Pereira, L.F.A. (2014). Generating Description Logic \({\mathcal ALC}\) from Text in Natural Language. In: Andreasen, T., Christiansen, H., Cubero, JC., Raś, Z.W. (eds) Foundations of Intelligent Systems. ISMIS 2014. Lecture Notes in Computer Science(), vol 8502. Springer, Cham. https://doi.org/10.1007/978-3-319-08326-1_31
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DOI: https://doi.org/10.1007/978-3-319-08326-1_31
Publisher Name: Springer, Cham
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