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Peer-to-Peer Query Answering with Inconsistent Knowledge

机译:对等查询以不一致的知识回答

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Decentralized reasoning is receiving increasing attention due to the distributed nature of knowledge on the Web. We address the problem of answering queries to distributed propositional reasoners which may be mutually inconsistent. This paper provides a formal characterization of a prioritized peer-to-peer query answering framework that exploits a priority ordering over the peers, as well as a distributed entailment relation as an extension to established work on argumentation frameworks. We develop decentralized algorithms for computing query answers according to distributed entailment and prove their soundness and completeness. To improve the efficiency of query answering, we propose an ordering heuristic that exploits the peers' priority ordering and empirically evaluate its effectiveness.
机译:由于网络上知识的分布性质,分散推理正在接受越来越关注。我们解决了对分布式命题装饰师的回答问题的问题,这可能是相互不一致的。本文提供了优先级的对等查询应答框架的正式表征,该框架利用对等体的优先级排序,以及作为在论证框架上建立工作的扩展名的分布式征集关系。根据分布式征集,我们开发用于计算查询答失的分散算法,并证明了他们的声音和完整性。为了提高查询答复的效率,我们提出了一个有序启发式,利用同行的优先顺序,并经验评估其有效性。

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