A framework for the social description of resources in open environments

M Nickles, G Weiss

Research output: Chapter or section in a book/report/conference proceedingChapter or section

6 Citations (SciVal)


The description of public resources such as web site contents, web services or data files in open peer-to-peer networks using some formal framework like RDF usually reflects solely the subjective requirements, opinion and preferences of the resource provider. In some sense, such resource descriptions appear "antisocial" as they do not reflect the social impact of the respective resource and therefore might not provide impartial, reliable assessments. E.g., commercial web sites do not contain any relationship to the information, service and product offers of competing sites, and the assessment, of the site by customers, experts or competitors is unknown to users and information agents also. We introduce an open multiagent system framework which derives multidimensional resource descriptions from the possibly conflicting opinions of interacting description agents, which act as representatives for individual, organizational or institutional clients, and compete in the, assertion of individual opinions against others to provide a "socially enhanced" solution for this problem. In contrast to the results of majority voting based recommender systems, the obtained social resource descriptions reflect social structures such as norms and roles Which emerge from communication processes.
Original languageEnglish
Title of host publicationCooperative Information Agents Vii, Proceedings
EditorsM Klusch, A Omicini, S Ossowski, H Laamanen
Number of pages16
Publication statusPublished - 2003

Publication series

NameLecture Notes in Artificial Intelligence

Bibliographical note

ID number: ISIP:000185946200016


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