A Multi-Modal Incompleteness Ontology model (MMIO) to enhance information fusion for image retrieval-Reference-Cited by-同舟云学术

A Multi-Modal Incompleteness Ontology model (MMIO) to enhance information fusion for image retrieval

Published:2014-11 Issue: Volume:20 Page:225-241
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Poslad Stefan,Kesorn Kraisak^ORCID

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference58 articles.

1. R. Meersman, Semantic ontology tools in information system design, in: Found. Intell. Syst. 11th Int. Symp., 1999: pp. 30–45.

2. Ontology-based photo annotation;Schreiber;IEEE Intell. Syst.,2001

3. L. Hollink, G. Schreiber, J. Wielemaker, B. Wielinga, Semantic annotation of image collections, in: Workshop Knowl. Markup Semantic Annot., 2003, pp. 1–3.

4. P.A.S. Sinclair, S. Goodall, P.H. Lewis, K. Martinez, M.J. Addis, Concept browsing for multimedia retrieval in the SCULPTEUR Project, in: 2nd Annu. Eur. Semantic Web Conf., 2005: pp. 28–36.

5. Model Driven Engineering and Ontology Development;Gasevic,2009

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