Multimedia information retrieval based on spatiotemporal relationships using description logics for the semantic web

Kwan Sang Na, Hyunjang Kong, Miyoung Cho, Pankoo Kim, Doo Kwon Baik

Research output: Contribution to journalArticle

10 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)679-692
Number of pages14
JournalInternational Journal of Intelligent Systems
Volume21
Issue number7
DOIs
Publication statusPublished - 2006 Jul 1

Fingerprint

Description Logics
Semantic Web
Information retrieval
Information Retrieval
Ontology
Multimedia
Video Retrieval
Image Retrieval
Relationships
Graph in graph theory
Modeling

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Artificial Intelligence

Cite this

Multimedia information retrieval based on spatiotemporal relationships using description logics for the semantic web. / Na, Kwan Sang; Kong, Hyunjang; Cho, Miyoung; Kim, Pankoo; Baik, Doo Kwon.

In: International Journal of Intelligent Systems, Vol. 21, No. 7, 01.07.2006, p. 679-692.

Research output: Contribution to journalArticle

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