Describing Capability Through Lexical Semantics Exploitation: Foundational Arguments

In everyday life as well as in asymmetric warfare domain, to achieve the intended goals, agents often do not make use of the designed and purpose-built tools, but some other tools whose features simply fit for the purpose. The present paper discusses the possibility of capturing and integrating relations and features from context that could drive the retrieval of possible candidate substitutes for the properly designed artifacts through Lexical Semantics Exploitation. Generative Lexicon theory assumes a structure (Qualia Structure) organizing the semantic content carried by lexical items through roles. Among them, the Telic role exposes the function or purpose of the predicated entity and the Constitutive role exposes its component parts. We argue that the typical function an entity has been thought for is related to its internal constituents. We also argue that a knowledge base and a proper metrics can be conveniently built extracting Qualia elements from suitable text corpora.

[1]  Riichiro Mizoguchi,et al.  Ontology-Based Functional-Knowledge Modeling Methodology and Its Deployment , 2004, EKAW.

[2]  Riichiro Mizoguchi,et al.  A functional concept ontology and its application to automatic identification of functional structures , 2002, Adv. Eng. Informatics.

[3]  Riichiro Mizoguchi,et al.  Ontology-based description of functional design knowledge and its use in a functional way server , 2003, Expert Syst. Appl..

[4]  Tommaso Caselli,et al.  From Glosses to Qualia: Qualia Extraction from Senso Comune , 2013 .

[5]  Naoaki Okazaki,et al.  Toward the automatic extraction of knowledge of usable goods , 2016, PACLIC.

[6]  Galina L. Rogova,et al.  An Ontological Analysis of Threat and Vulnerability , 2006, 2006 9th International Conference on Information Fusion.

[7]  Alessandro Lenci,et al.  Distributional Memory: A General Framework for Corpus-Based Semantics , 2010, CL.

[8]  Tony Veale,et al.  Qualia Extraction and Creative Metaphor in WordNet , 2005 .

[9]  James Pustejovsky,et al.  Lexical Knowledge Representation and Natural Language Processing , 1993, Artif. Intell..

[10]  Alessandro Lenci,et al.  One Distributional Memory, Many Semantic Spaces , 2009, Proceedings of the Workshop on Geometrical Models of Natural Language Semantics - GEMS '09.

[11]  Marco De Boni,et al.  Automated Discovery of Telic Relations for WordNet , 2002 .

[12]  Gian Luca Foresti,et al.  Artifact “Metaphors”: Gaining capability using “Wrong” tools , 2015, 2015 18th International Conference on Information Fusion (Fusion).

[13]  Riichiro Mizoguchi,et al.  Meta-Functions of Artifacts , 1999 .

[14]  Risto Hilpinen,et al.  Belief Systems as Artifacts , 1995 .

[15]  Christiane Fellbaum,et al.  Book Reviews: WordNet: An Electronic Lexical Database , 1999, CL.

[16]  Riichiro Mizoguchi,et al.  A FUNCTIONAL ONTOLOGY OF ARTIFACTS , 2009 .

[17]  Riichiro Mizoguchi,et al.  Functional Ontology for Functional Understanding , 1998 .

[18]  James Pustejovsky,et al.  The Generative Lexicon , 1995, CL.

[19]  George A. Miller,et al.  WordNet: A Lexical Database for English , 1995, HLT.

[20]  Alessandro Lenci,et al.  Models of lexical meaning , 2017 .