Open AccessResearch system of semantic information in medical videoconference based on conceptual graphs and domain ontologies
Author(s) -
Zwidi Afef,
Ameni Yengui,
Mahmoud Néji
Publication year - 2013
Publication title -
international journal of management and information technology
Language(s) - English
Resource type - Journals
ISSN - 2278-5612
DOI - 10.24297/ijmit.v7i2.703
Subject(s) - computer science , semantics (computer science) , information retrieval , ontology , representation (politics) , domain (mathematical analysis) , modalities , semantic analysis (machine learning) , videoconferencing , knowledge representation and reasoning , information extraction , world wide web , multimedia , artificial intelligence , mathematical analysis , social science , philosophy , mathematics , epistemology , sociology , politics , political science , law , programming language
The multiplication of the number of AudioVisual Documents (AVD) engendered a problem while searching for information within gigantic databases of which we are incapable to index their contents completely manually. Indeed, several complex difficulties are put by these documents because of the vertiginous increase of the quantity of the multimedia data to be treated and the specification met in the representation and the extraction of their contents in particular semantics of the fact that these documents contain three types of media (text, sound, image). AVDs can be classified in professional broadcasted videos (movies, emissions), sporting videos, video controlling, videoconference etc. In this paper, we propose a model of representation of the semantic contents of videoconferences documents in medicine based on the conceptual graphs taking into account the different modalities. This model is based on the concepts extraction and the semantic relations between them and appeals ontology domain.