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Automatic RDF metadata generation for resource discovery

机译:自动生成RDF元数据以进行资源发现

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Automatic metadata generation may provide a solution to the problem of inconsistent, unreliable metadata describing resources on the Web. The Resource Description Framework (RDF) provides a domain-neutral foundation on which extensible element sets can be defined and expressed in a standard notation. This paper describes how an automatic classifier, that classifies HTML documents according to Dewey Decimal Classification, can be used to extract context sensitive metadata which is then represented using RDF The process of automatic classification is described and an appropriate metadata element set is identified comprising those elements that can be extracted during classification. An RDF data model and an RDF schema are defined representing the element set and the classifier is configured to output the elements in RDF syntax according to the defined schema.
机译:自动元数据生成可以为描述Web资源的不一致,不可靠的元数据提供解决方案。资源描述框架(RDF)提供了与域无关的基础,可以在该基础上定义可扩展元素集并以标准符号表示。本文介绍了如何根据Dewey十进制分类对HTML文档进行分类的自动分类器,以提取上下文相关的元数据,然后使用RDF对其进行表示。描述了自动分类的过程,并确定了包含这些元素的适当的元数据元素集可以在分类过程中提取出来。定义表示元素集的RDF数据模型和RDF架构,分类器配置为根据定义的架构以RDF语法输出元素。

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