Title :
Proceeding with Keyword-Based Web-Image Annotation Conceptually in Folksonomy
Author :
Nakashima, Makoto ; Hiyama, Takahiro ; Sato, Keizo ; Ito, Tetsuro
Author_Institution :
Dept. of Comput. Sci. & Intell. Syst., Oita Univ., Oita
Abstract :
Image annotation becomes increasingly more important as the Web continues to grow. We propose a novel approach to enhancing keyword-based Web-image annotation in folksonomy, where a volunteer user is notified what kind(s) of keywords are necessary, and that keywords have been sufficiently provided by other volunteer users. Necessary information is obtained from the keyword-filled facet tables, and sufficient information provided by the quantified conceptual keyword relations. Though the facet tables and the conceptual keyword relations are set by referring to an ontology, users do not need to know its details to successfully annotate the images.
Keywords :
Internet; image retrieval; ontologies (artificial intelligence); folksonomy system; image search; keyword-based Web-image annotation; keyword-filled facet table; ontology; quantified conceptual keyword relation; Competitive intelligence; Computer science; Facial animation; History; Image retrieval; Indium tin oxide; Intelligent systems; Ontologies; Software systems; Vocabulary; based image annotation; conceptual keyword relations; facet tables; folksonomy; ontology;
Conference_Titel :
Complex, Intelligent and Software Intensive Systems, 2009. CISIS '09. International Conference on
Conference_Location :
Fukuoka
Print_ISBN :
978-1-4244-3569-2
Electronic_ISBN :
978-0-7695-3575-3
DOI :
10.1109/CISIS.2009.115