CREAM: creating relational metadata with a component-based, ontology-driven annotation framework
CREAM: creating relational metadata with a component-based, ontology-driven annotation framework
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CREAM：使用基于组件、本体驱动的注释框架创建关系元数据
DOI：
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发表时间：
2001
期刊：
影响因子：
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通讯作者：
A. Maedche
中科院分区：
文献类型：
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作者：
S. Handschuh;Steffen Staab;A. Maedche
语义网的基础是相互关联的、机器可理解的数据。注释Web文档是在Web上创建元数据的主要技术之一。然而，到目前为止，注释工具在提供丰富的互连和真正的机器可理解的数据的能力方面受到限制。它们基本上允许用户根据模板结构（如都柏林Core）使用纯文本进行注释。我们在这里提出CREAM（创建关系，基于注释的元数据），一个框架的注释环境，允许构建关系元数据，即元数据，包括类实例和关系实例。这些实例不是基于固定结构，而是基于领域本体。我们讨论了一些需求时，必须满足开发这样一个框架，例如元数据爬虫，推理服务，文档管理和信息提取的集成，并描述其实现，即Ont-O-Mat的组件为基础的，本体驱动的注释工具。
Richly interlinked, machine-understandable data constitutes the basis for the Semantic Web. Annotating web documents is one of the major techniques for creating metadata on the Web. However, annotation tools so far are restricted in their capabilities of providing richly interlinked and truely machine-understandable data. They basically allow the user to annotate with plain text according to a template structure, such as Dublin Core. We here present CREAM (Creating RElational, Annotation-based Metadata), a framework for an annotation environment that allows to construct relational metadata, i.e. metadata that comprises class instances and relationship instances. These instances are not based on a fix structure, but on a domain ontology. We discuss some of the requirements one has to meet when developing such a framework, e.g. the integration of a metadata crawler, inference services, document management and information extraction, and describe its implementation, viz. Ont-O-Mat a component-based, ontology-driven annotation tool.