Paper Info
Title
Multimedia Information Retrieval Based On Spatiotemporal Relationships Using Description Logics For The Semantic Web
Abstract
Since the latter half of the 1990s, ontology has been the main area of study in the semantic web. Ontology has been actively studied in several areas for a long time. There are many ontological applications and construction methods. In the study of the semantic web, ontologies are built using OWL capabilities. However, it is not suitable for managing spatial relationships. To represent spatial relationships, we try to create new vocabularies based on these two theories. Modeling topological relationships are accomplished using a neighborhood graph that only considers topological relatedness. In addition, we define the new vocabulary to represent the spatial relationships based on spatial description logic. In this article, we focus on multimedia information retrieval. We use the new vocabularies that were defined using these two theories for representing spatial relationships in image and video retrieval. (c) 2006 Wiley Periodicals, Inc.
Year
DOI
Venue
2006
10.1002/int.20153
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
Keywords
Field
DocType
description logic,semantic web
Ontology (information science),Data mining,Knowledge representation and reasoning,Information retrieval,Computer science,Multimedia information retrieval,Image retrieval,Semantic Web,Description logic,Web service,Spatial database
Journal
Volume
Issue
ISSN
21
7
0884-8173
Citations 
PageRank 
References 
3
0.41
9
Authors
5
Name
Order
Citations
PageRank
Kwan-Sang Na150.81
Hyunjang Kong2235.25
Miyoung Cho3619.68
Pankoo Kim4286.37
Doo-Kwon Baik543377.47