Abstract
As human practice testifies, communicating through (natural) language is the way that enables mutual comprehension and effective knowledge transfer between agents. In order to effectively exchange information, agents need to share a lexicon of words as well as to access the world model(s) underlying the lexicon. This model can be represented by an ontology, whose proper function is to group together similar concepts, define their mutual relationships, support property inheritance and reasoning.
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These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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- 1.
We make use of the adjective ‘computational’, here, to refer to ontologies and lexicons which are encoded in suitable machine language, enabling computational processability.
- 2.
This acronym originates from the homonymous fortunate series of workshops. Originating in 2000 through a visionary initiative by Atanas Kiryakov and Kiril Simov, and hosted twice by LREC (2002 and 2004), OntoLex has turned into a regular meeting for a growing interdisciplinary community of lexicographers, ontologists and computational linguists. This book has been actually inspired by some of the papers presented at OntoLex 2010 – http://www.loa.istc.cnr.it/program220810.pdf
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© 2013 Springer-Verlag Berlin Heidelberg
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Oltramari, A., Vossen, P., Qin, L., Hovy, E. (2013). Introduction. In: Oltramari, A., Vossen, P., Qin, L., Hovy, E. (eds) New Trends of Research in Ontologies and Lexical Resources. Theory and Applications of Natural Language Processing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31782-8_1
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DOI: https://doi.org/10.1007/978-3-642-31782-8_1
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