An Introduction to Symbolic Artificial Intelligence Applied to Multimedia

TL;DR

This paper introduces symbolic AI and its application to multimedia, covering description logic, Semantic Web technologies, and a hybrid multimedia representation model called Hyperknowledge.

Contribution

It provides an overview of symbolic AI techniques, especially description logic and Semantic Web standards, applied to multimedia, and proposes a hybrid Hyperknowledge model.

Findings

Explanation of symbolic AI and description logic in multimedia context

Overview of Semantic Web technologies like OWL, RDF, SPARQL

Introduction of Hyperknowledge as a hybrid multimedia representation

Abstract

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.