article

Evolving service semantics cooperatively: a consumer-driven approach

Authors:

Pınar YolumAuthors Info & Claims

Autonomous Agents and Multi-Agent Systems, Volume 18, Issue 3

Pages 526 - 555

https://doi.org/10.1007/s10458-008-9071-8

Published: 01 June 2009 Publication History

Abstract

Commerce relies on dynamic creation and modification of services. New service offerings or service demands come into play frequently. Whereas traditional commerce supports creation of new service demands from consumers, e-commerce has so far expected service providers to come up with desirable new service offerings and assigned service consumers a passive role in the process. That is, current e-commerce architecture lacks a consumer-driven approach for the generation of new service descriptions. This paper bridges this gap by proposing a multiagent system of consumers that represent their service needs semantically using ontologies. Using our proposed approach, agents can create new service descriptions, share them with interested others, and use service descriptions that are created by other agents. Hence, more accurate concepts describing consumers' service needs are cooperatively and iteratively created. This leads to a society of consumers with different but overlapping ontologies where mutually accepted service concepts emerge based on consumers' exchange of service descriptions. Our simulations of consumer societies show that allowing cooperative evolution of service ontologies facilitates better representation of consumers' service needs. Further, through cooperation, not only more useful service concepts emerge over time, but also ontologies of consumers having similar service needs become aligned gradually.

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Cited By

Şensoy MYolum P(2018)Automating user reviews using ontologiesWorld Wide Web10.1007/s11280-011-0134-415:3(285-323)Online publication date: 25-Dec-2018
https://dl.acm.org/doi/10.1007/s11280-011-0134-4
Vouros G(2015)Decentralized semantic coordination of interconnected entities via belief propagationAI Communications10.3233/AIC-14062428:4(617-634)Online publication date: 18-Sep-2015
https://dl.acm.org/doi/10.3233/AIC-140624

Index Terms

Evolving service semantics cooperatively: a consumer-driven approach
1. Computing methodologies
  1. Artificial intelligence
    1. Distributed artificial intelligence
      1. Cooperation and coordination
      2. Multi-agent systems
    2. Knowledge representation and reasoning
      1. Semantic networks
  2. Machine learning
    1. Machine learning approaches
      1. Rule learning
2. Information systems
  1. World Wide Web
    1. Online advertising
    2. Web applications
      1. Electronic commerce

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cover image Autonomous Agents and Multi-Agent Systems

Autonomous Agents and Multi-Agent Systems Volume 18, Issue 3

June 2009

243 pages

ISSN:1387-2532

Issue’s Table of Contents

Copyright © Copyright © 2009 Springer Science+Business Media, LLC.

Publisher

Kluwer Academic Publishers

United States

Publication History

Published: 01 June 2009

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Cited By

Şensoy MYolum P(2018)Automating user reviews using ontologiesWorld Wide Web10.1007/s11280-011-0134-415:3(285-323)Online publication date: 25-Dec-2018
https://dl.acm.org/doi/10.1007/s11280-011-0134-4
Vouros G(2015)Decentralized semantic coordination of interconnected entities via belief propagationAI Communications10.3233/AIC-14062428:4(617-634)Online publication date: 18-Sep-2015
https://dl.acm.org/doi/10.3233/AIC-140624

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