Authors:
Sana Fakhfakh
;
Mohamed Tmar
and
Walid Mahdi
Affiliation:
Sfax University, Tunisia
Keyword(s):
Mutlimedia Retrieval, Geometric Distance, Structure, Image.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Cloud Computing
;
Data Engineering
;
Enterprise Information Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Internet Systems Performance
;
Knowledge Management
;
Ontologies and the Semantic Web
;
Semantic Web Technologies
;
Services Science
;
Society, e-Business and e-Government
;
Software Agents and Internet Computing
;
Web Information Systems and Technologies
Abstract:
Most documents available in Textual Database or in Internet are strongly structured. This is the case for example for scientific papers or written documents using markup languages (HTML, XML). This information provided by the structure can be exploited by systems of information retrieval to define the granularity of elements to return in response to a request made by a user or to improve the relevance of these results. In this article, We are interested in recovering multimedia elements. Like this, we propose a new metric for multimedia retrieval in XML documents which is based on computing a geometric distance between XML nodes while taking into account kinship ties and proximities between them. This measure will introduce a new source of evidence for multimedia retrieval in structural documents which aims at finding relevant multimedia element that focus on the user information need. Experiments have been undertaken to show the effectiveness of our method.