Enabling agent architecture through an RDF query and inference engine

B. Motik, V. Glavinic
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引用次数: 9

Abstract

Over the past several years, there has been an increase in the number of heterogeneous information sources, mainly due to the rise of the Internet. In order to select the desired information, large quantities of information must be searched and examined. Various AI techniques are available for such tasks, relying on information semantics. To implement these techniques on a variety of platforms, a common basis for the interchange of semantic information must be defined. The Resource Description Framework (RDF) is a model for the description of semantic information which is suitable for application on the Internet, and it is based on the semantic network model. It should, however, be noted that this model does not provide any means for querying RDF data. In this paper, we propose a model for querying RDF knowledge bases and its accompanying syntax based on XML. The model has been implemented and tested in practice.
通过RDF查询和推理引擎启用代理体系结构
在过去的几年中,异构信息源的数量有所增加,这主要是由于互联网的兴起。为了选择所需的信息,必须对大量的信息进行搜索和检查。依赖于信息语义的各种人工智能技术可用于此类任务。为了在各种平台上实现这些技术,必须定义语义信息交换的公共基础。资源描述框架(RDF)是一种基于语义网络模型的适合在Internet上应用的语义信息描述模型。但是,应该注意的是,该模型不提供任何查询RDF数据的方法。本文提出了一种基于XML的RDF知识库查询模型及其相应的语法。该模型已在实践中得到了实现和验证。
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