However, a typical search engine user searching for images is unlikely to view beyond
the first 15-20 retrievals, which may be irrelevant in this case. As a result, the
user query in this scenario is unanswered in spite of images satisfying the specified
criteria being present on the Web. With the proposed framework, the query could be
answered in an efficient way. Since all the images on the Semantic Web are represented
in an XML format, we can use XML querying technologies such as XQuery
(Chamberlin, Florescu, Robie, Simeon, & Stefanascu, 2001) and XPath (Clark &
DeRose, 1999) to retrieve images for the query ???image/semantic/background/object
= plane & image/semantic/foreground/object = people???. This is unachievable with
keyword-based queries and hence is a major contribution of the proposed work.
Figure 6 shows some examples of the retrieval results. In Table 2, we also report the
mean average precision obtained for ranked retrieval as in Feng et al. (2004).
Figure 6. Ranked retrieval for the query image/semantic/background/object
=???sky???
Table 2. Mean average precision results
All.
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