By Josip Krapac, Frédéric Jurie (auth.), Nozha Boujemaa, Marcin Detyniecki, Andreas Nürnberger (eds.)
This e-book constitutes the completely refereed post-workshop complaints of the fifth foreign Workshop on Adaptive Multimedia Retrieval, AMR 2007, held in Paris, France, in July 2007.
The 18 revised complete papers offered including 2 invited papers have been rigorously chosen in the course of rounds of reviewing and development. The papers are geared up in topical sections on photograph annotation, suggestions and consumer modelling, tune retrieval, fusion, P2P and middleware, databases and summarization, in addition to ontology and semantics.
Read Online or Download Adaptive Multimedia Retrieval: Retrieval, User, and Semantics: 5th International Workshop, AMR 2007, Paris, France, July 5-6, 2007 Revised Selected Papers PDF
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Extra resources for Adaptive Multimedia Retrieval: Retrieval, User, and Semantics: 5th International Workshop, AMR 2007, Paris, France, July 5-6, 2007 Revised Selected Papers
We can express this situation with the following expression: µ(t) C1 −→ C2 where C1 and C2 are the contexts of the reader before and after interpreting the text, t is the text, and μ(t) is its meaning. This is, as I have said, a very generic model, but we can use to start answering some questions. For one thing, is it possible to formalize meaning? The answer of our model is that it is possible only to the extent that it is possible to formalize context. If C1 and C2 are formally defined in mathematical terms, then, and only then, it will be possible to give a formal definition of the function μ(t).
Notice that nothing of this rich context is implied in the text itself, simply because the text has to function in different ways in different context. You could use the same text, for instance, in a paper on semantics, where it would absolve a completely different function—that of an example. For, let’s face it, is it really important for my example whether this text was ever really placed near an escalator in the London subway (although, as a matter of fact, it was)? In the context of clarifying a point this text would work, and its meaning would be quite clear, even if I were lying to you regarding the placement of the text.
Alas, this means that the logic that we are using to express them is monadic second order logic, which, containing first order logic, has the unpleasant characteristic of being undecidable. There is no immediately obvious reason why undecidability should be a negative thing. On the one hand, it doesn’t seem to generate any problem that, on a pragmatic plane, can’t be solved by a good heuristics and common sense. On the other hand, at least for semantic web applications, undecidability seems to resonate with the general web attitude (a very positive one) of seeing imprecision and messiness as a positive fact of life: something to be welcomed as a source of expressive richness, not to be avoided as a source of potential problems4.