DocumentCode
1849930
Title
Description logic based icons semantics: An Ontology for Icons
Author
Kuicheu, N.C. ; Ning Wang ; Fanzou Tchuissang, Gile Narcisse ; Siewe, Francois ; De Xu
Author_Institution
Sch. of Comput. & Inf. Technol., Beijing Jiaotong Univ., Beijing, China
Volume
2
fYear
2012
fDate
21-25 Oct. 2012
Firstpage
1260
Lastpage
1263
Abstract
Iconic communication is paramount today in order to assist people with disability (e.g. illiteracy) enjoying, as much as everybody else, the advances in information and communication technologies (e.g. Internet). Previous works tend to generalize iconic communication by translating iconic sentences into XML documents. Theses approaches are limited owing to the fact that an icon can hide several metaphors. In fact, the semantics of an icon is not the linguistic equivalent associated to the image, but is a set of attributes which can be used to describe the given icon. Second, an XML schema is not a knowledge representation, but just a message format. Therefore, to manage the knowledge hidden behind iconic sentences, a semantic model for icons needs to be formally defined. This paper extends previous icon models by first, introducing a description logics-based definition of icons semantics, and second, based on those formal definitions and the Web Ontology Language (OWL), we create an Ontology for Icons named IcOnto (read “eye can too”). We further use IcOnto to model some properties of the African Traditional Medicine (ATM), for illustration.
Keywords
Internet; XML; biomedical communication; medicine; ontologies (artificial intelligence); telecommunication computing; ATM; African Traditional Medicine; IcOnto; Internet; OWL; Web ontology language; XML documents; XML schema; description logic based icons semantics; description logics-based definition; disability; iconic communication; iconic sentences; illiteracy; information and communication technologies; message format; African Traditional Medicine; Description Logics; Iconic Systems; OWL Ontology;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing (ICSP), 2012 IEEE 11th International Conference on
Conference_Location
Beijing
ISSN
2164-5221
Print_ISBN
978-1-4673-2196-9
Type
conf
DOI
10.1109/ICoSP.2012.6491805
Filename
6491805
Link To Document