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Title:
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EVALUATION OF SEMANTIC SEARCH USING THE IMAGENOTION APPLICATION |
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Author(s):
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Andreas Walter , Gabor Nagypal , Khaled Nagi |
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ISBN:
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978-972-8924-68-3 |
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Editors:
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Pedro Isaías, Miguel Baptista Nunes and Dirk Ifenthaler |
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Year:
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2008 |
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Edition:
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Single |
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Keywords:
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ImageNotion, Navigation through image archives, Web 2.0, Semantic search |
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Type:
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Short Paper |
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First Page:
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442 |
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Last Page:
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447 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Semantic search techniques have a big potential in exploring image archives as they provide better search results than
traditional full-text search. Within our ImageNotion application, we develop and combine these techniques to improve
end user experience by providing innovative query refinement and navigation features.
We have already reported on our work on the ImageNotion methodology and tools [6] which includes collaborative and
work-integrated ontology creation, semantic annotation, and the possibility to automate the annotation process using text
mining and image processing techniques to construct the image archive. In this paper, we describe some novel techniques
in our ImageNotion application for visual query refinement and navigation through image parts to be used by image
searchers. We conducted an online survey with more than hundred participants who tested the publicly available online
version of this system. We analyze the results, and show what users think about the potential of semantic techniques for
the exploration of image archives based on this concrete and working semantic image search application.
The insights we gain will guide the further development of the ImageNotion system, and are interesting for all kinds of
semantic multimedia information systems in general. |
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