Authors:
Pei-Jeng Kuo
;
Terumasa Aoki
and
Hiroshi Yasuda
Affiliation:
University of Tokyo, Japan
Keyword(s):
Ontology, Databases and Information Retrieval, MPEG-7, Spatial-Temporal, Digital Library Designs l,
metadata, Semantic Web, semi-automatic annotation.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Data Engineering
;
Digital Libraries
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Metadata and Metamodeling
;
Ontologies and the Semantic Web
;
Ontology and the Semantic Web
;
Symbolic Systems
;
Web Geographical Information Systems
;
Web Information Systems and Technologies
;
Web Interfaces and Applications
Abstract:
In previous publications, we have proposed the DDDC architecture which annotates multimedia data with
twelve main attributes regarding its semantic representation. In addition, we also proposed machine-understandable
“Spatial and Temporal Based Ontologies” representation for the above DDDC semantics
description to enable semi-automatic annotation process. PARIS (Personal Archiving and Retrieving Image
System) is an experiment personal photograph library, which includes more than 80,000 of consumer
photographs accumulated within a duration of approximately five years, metadata based on our proposed
MPEG-7 annotation architecture, Dozen Dimensional Digital Content (DDDC), and a relational database
structure. In this paper, we explain our proposed spatial and temporal coordinated Ontologies constructed
based on personal related photograph preferences. As personal digital photograph libraries have specific
characteristics and are particularly Spatial and Temporal associated, we
envision various novel retrieval
possibilities at semantic level can be developed based on the proposal described in this paper.
(More)