DocumentCode
640968
Title
Three main components of experience base in linguistic description of data
Author
Martinez-Cruz, C. ; Sanchez, Dominick ; Trivino, G.
Author_Institution
Comput. Dept., Univ. of Jaen, Jaen, Spain
fYear
2013
fDate
7-10 July 2013
Firstpage
1
Lastpage
6
Abstract
In this paper, we present a contribution to solve the problem of organizing the representation of experience in computational systems which are able to generate relevant linguistic descriptions of data for specific users and contexts. We claim, that, typically, the expert knowledge modeled in these systems is limited to one of the dimensions of the meaning of natural language. Here, we model the experience base distinguishing among three types of meaning, namely, Ideational meaning concerning with the technical, impersonal description of the specific phenomenon; Interpersonal meaning concerning with the role of the partners involved in the communication process and Textual meaning concerning with the contribution to the meaning of the specific realization with natural language of both previous types of meaning. In order to organize these types of meaning (also called components of experience base) in a practical computational representation, we have built an ontology that will help designers to model their experience in the application domain. Using this ontology, the computational system is able of identifying the most suitable linguistic descriptions for describing the input data. Our approach is presented with the support of a practical example in the domain of the maintenance of comfort in a room.
Keywords
computational linguistics; natural language processing; ontologies (artificial intelligence); computational representation; computational systems; data linguistic description; experience base component; experience representation; ideational meaning; interpersonal meaning; natural language; ontology; textual meaning; Computational modeling; Context; Maintenance engineering; Ontologies; Pragmatics; Temperature measurement; Vectors; Computing with Words and Perceptions; Granular Linguistic Model of Phenomena; Ontology;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems (FUZZ), 2013 IEEE International Conference on
Conference_Location
Hyderabad
ISSN
1098-7584
Print_ISBN
978-1-4799-0020-6
Type
conf
DOI
10.1109/FUZZ-IEEE.2013.6622413
Filename
6622413
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