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  • @inproceedings{TSB2006,
    	vgclass =	{refpap},
    	author =	{ten Brinke, Walter and David McG. Squire and John
    	title =	{The Meaning of an Image in Content-Based Image Retrieval},
    	editor =	{Thibaud Latour and Micha\"{e}l Petit},
    	booktitle =	{2nd International Workshop on Philosophical Foundations of Information
    	Systems Engineering (PHISE 2006), in conjunction with the 18th
    	International Conference on Advanced Information Systems Engineering
    	address =	{Luxembourg},
    	pages =	{710--719},
    	month =	{June~5},
    	year =	{2006},
    	url =	{},
    	abstract =	{One of the major problems in CBIR is the so-called `semantic gap':
    	the difference between low-level features, extracted from images, and the
    	high-level `information need' of the user. Reaching that goal can be regarded as
    	a quest for similar `concepts', where a concept is loosely defined as ``what
    	words (or images) stand for, signify, or mean'' [1]. We first seek to establish
    	a metaphysical basis for CBIR. We look at ontological questions, such as `what
    	is similarity?' and `what is an image?' in the context of CBIR. We will
    	investigate these questions via thought experiments. We will argue that the
    	meaning of an image---the concept it stands for---rests on at least three
    	pillars: what actually can be seen on an image (its ontology), convention and