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A flexible approach for managing digital images on the semantic web (2005)
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| Venue: | In Proceedings of the Fifth International Workshop on Knowledge Markup and Semantic Annotation (SemAnnot |
| Citations: | 8 - 1 self |
BibTeX
@INPROCEEDINGS{Halaschek-wiener05aflexible,
author = {Christian Halaschek-wiener and Andrew Schain and Jennifer Golbeck and Bijan Parsia and Jim Hendler},
title = {A flexible approach for managing digital images on the semantic web},
booktitle = {In Proceedings of the Fifth International Workshop on Knowledge Markup and Semantic Annotation (SemAnnot},
year = {2005},
pages = {49--58},
publisher = {Springer}
}
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Abstract
Abstract. As the volume of digital images available on the Web continues to increase, there is a clear need for more advanced techniques for their effective retrieval and management. Recently, there has been an interest in applying Semantic Web technologies to represent the high level content of digital images in a machine processable format. While progress has been made, through a representative use case, we provide motivation for further work in developing more domain independent techniques for both annotating and managing images on the Web. Following this, we present an approach for publishing (OWL) annotations of image content to the Semantic Web, through the loose coupling of an annotation environment with a Semantic Web portal. Additionally, we present an implementation of the approach and describe a hypothetical use case that resulted in a proof-of-concept designed in collaboration with NASA. 1
Keyphrases
digital image semantic web flexible approach advanced technique high level content representative use case hypothetical use case image content annotation environment effective retrieval loose coupling clear need semantic web portal semantic web technology domain independent technique machine processable format
