本体对齐中的社会网络多智能体协商

Nuno Luz, Nuno Silva, P. Novais
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引用次数: 2

摘要

随着语义Web的日益普及,每天都有越来越多的数据模型以本体、微格式或微数据的形式发布。模型数量的增加及其异质性正在成为一个全球性的整合问题。我们提出了一个分散和可扩展的多智能体协商过程,用于本体对齐,该过程利用了潜在的社会网络通信结构和SNA度量和算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Social Networked Multi-agent Negotiation in Ontology Alignment
With the increasing popularity of the Semantic Web, more and more data models are being published daily in the form of ontologies, micro-formats or micro-data. This increase in the amount of models and their heterogeneity is becoming a global scale integration problem. We propose a decentralized and scalable multi-agent negotiation process for ontology alignment that exploits an underlying social network communication structure and SNA measures and algorithms.
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