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Birkhäuser

Ontologies for Agents: Theory and Experiences

  • Conference proceedings
  • © 2005

Overview

  • The area of ontologies for agents is novel and despite its relevance for e-commerce and semantic web applications, there are presently few resources addressing this area
  • The book provides an overview of the main theoretical problems as well as real applications translating theory into practice
  • The book aims to bridge the gap between the agent and the ontology community

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Table of contents (14 papers)

Keywords

About this book

There is a growing interest in the use of ontologies for multi-agent system app- cations. On the one hand, the agent paradigm is successfully employed in those applications where autonomous, loosely-coupled, heterogeneous, and distributed systems need to interoperate in order to achieve a common goal. On the other hand, ontologies have established themselves as a powerful tool to enable kno- edge sharing, and a growing number of applications have bene?ted from the use of ontologies as a means to achieve semantic interoperability among heterogeneous, distributed systems. In principle ontologies and agents are a match made in heaven, that has failed to happen. What makes a simple piece of software an agent is its ability to communicate in a ”social” environment, to make autonomous decisions, and to be proactive on behalf of its user. Communication ultimately depends on und- standing the goals, preferences, and constraints posed by the user. Autonomy is theabilitytoperformataskwithlittleornouserintervention,whileproactiveness involves acting autonomously with no need for user prompting. Communication, but also autonomy and proactiveness, depend on knowledge. The ability to c- municate depends on understanding the syntax (terms and structure) and the semantics of a language. Ontologies provide the terms used to describe a domain and the semantics associated with them. In addition, ontologies are often comp- mented by some logical rules that constrain the meaning assigned to the terms. These constraints are represented by inference rules that can be used by agents to perform the reasoning on which autonomy and proactiveness are based.

Editors and Affiliations

  • Agent Applications, Research and Technology Group, Department of Computer Science, University of Liverpool, Liverpool, Great Britain

    Valentina Tamma

  • Department of Information Science, University of Otago, Dunedin, New Zealand

    Stephen Cranefield

  • 329 Information Technology and Engineering, University of Maryland, Baltimore, USA

    Timothy W. Finin

  • Dept. Llenguatges i Sistemes Informatics, Universitat Politècnica de Catalunya (UPC), Barcelona, Spain

    Steven Willmott

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