Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An Introduction to Symbolic Artificial Intelligence Applied to
  Multimedia   In this chapter, we give an introduction to symbolic artificial intelligence
(AI) and discuss its relation and application to multimedia. We begin by
defining what symbolic AI is, what distinguishes it from non-symbolic
approaches, such as machine learning, and how it can used in the construction
of advanced multimedia applications. We then introduce description logic (DL)
and use it to discuss symbolic representation and reasoning. DL is the logical
underpinning of OWL, the most successful family of ontology languages. After
discussing DL, we present OWL and related Semantic Web technologies, such as
RDF and SPARQL. We conclude the chapter by discussing a hybrid model for
multimedia representation, called Hyperknowledge. Throughout the text, we make
references to technologies and extensions specifically designed to solve the
kinds of problems that arise in multimedia representation.

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The categories of this paper are: quant-ph
33
The categories of this paper are: plasm-ph
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The categories of this paper are: nucl-th
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The categories of this paper are: comp-gas
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The categories of this paper are: cmp-lg
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The categories of this paper are: cond-mat
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The categories of this paper are: mtrl-th
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The categories of this paper are: atom-ph
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The categories of this paper are: nucl-ex
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The categories of this paper are: q-fin
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The categories of this paper are: adap-org
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The categories of this paper are: hep-th
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The categories of this paper are: nlin
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The categories of this paper are: chem-ph
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The categories of this paper are: dg-ga
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The categories of this paper are: hep-ex