Ranking Agent Statements for Building Evolving Ontologies

Ronny Siebes, Frank van Harmelen

Research output: Contribution to JournalArticleAcademicpeer-review


In this paper a methodology is described for ranking information received by different agents, based on previous experience with them. These rankings again are used for asking the right questions to the right agents. In this way agents can build up a reputation. The methods in this paper are strongly influenced on human heuristics regarding the assignment of confidence ratings on humans. The methods provide a solution to current problems with ontologies: (1) handling contradicting and sloppy information, (2) efficient network use instead of broadcasting information and (3) dealing with ontological drift.
Original languageEnglish
Pages (from-to)2-4
Number of pages3
JournalWorkshop on Meaning Negotation, in conjunction with the Eighteenth National Conference on Artificial Intelligence
Publication statusPublished - 2002


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