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 :
بازگشت