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Data fusion and abductive inference for metaphor resolution: a bridging discussion

Published online by Cambridge University Press:  13 May 2016

Giovanni Ferrin Open the ORCID record for Giovanni Ferrin [Opens in a new window] ,
Lauro Snidaro Open the ORCID record for Lauro Snidaro [Opens in a new window]  and
Gian Luca Foresti Open the ORCID record for Gian Luca Foresti [Opens in a new window]
Giovanni Ferrin
Affiliation:
Department of Mathematics, Computer Science and Physics, University of Udine, Via delle Scienze 206, 33100 Udine, Italy e-mail: [email protected], [email protected], [email protected]
Lauro Snidaro
Affiliation:
Department of Mathematics, Computer Science and Physics, University of Udine, Via delle Scienze 206, 33100 Udine, Italy e-mail: [email protected], [email protected], [email protected]
Gian Luca Foresti
Affiliation:
Department of Mathematics, Computer Science and Physics, University of Udine, Via delle Scienze 206, 33100 Udine, Italy e-mail: [email protected], [email protected], [email protected]
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Abstract

Since the 1980s, metaphor has been recognized as a pervasively diffused phenomenon in communication, absolutely not restricted to rhetoric and linguistic phenomena, involving structured concepts, relations, and matching ‘rules’. Metaphor resolution, that is metaphor understanding, as well as metaphor creation, has become an issue in automated processing and understanding of natural language as well as of mixed visual communication. It can be showed as a process of structure finding and mapping procedure between conceptual denotation–connotation structures necessary for interpretation. Creative abduction is then showed to be the pattern inference required to work out structure-mappings in corresponding nodes as present in metaphors. In this paper, we review some key issues (definitions, typologies, theoretical problems) involving the concept of ‘metaphor’ and survey some definitions and concepts emerging in contemporary debate on abductive inference. Finally, we argue that metaphor understanding process can be recognized as a fusion tractable problem, allowing the exploitation of frameworks and algorithms of such domain.

Type
Articles
Information
The Knowledge Engineering Review , Volume 31 , Issue 3 , June 2016 , pp. 261 - 277
Copyright
© Cambridge University Press, 2016 

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