首页> 外文会议>International conference on information infrastructure >Towards Topic-Specialized Resource Discovery: Merging Ontology with a Metadata Service
【24h】

Towards Topic-Specialized Resource Discovery: Merging Ontology with a Metadata Service

机译:朝着主题专用资源发现:使用元数据服务合并本体

获取原文

摘要

discovering resources on a network can be a difficult task. In this paper, we describe an approach to a metadata service model and the notion of ontology for topic-specialized resource discovery. The metadata model is based on the Warwick Framework and implemented in a class-based object-oriented fashion. This model allows a resource to have individual metadata sets that are most suitable for representign the resource in a structured way. Such a model enables new metadata sets to be included without requirng changes to existign sets. Additionally, the metadata service classifies the metadata according to topic or community-specific taxonomies and searches these taxonomies based on specific user queries. The ontology ensures the semantic consistency of these taxonomies and queries. The merging of ontology with the metadata service facilitates resource discovery and information sharing on the distributed networks.
机译:在网络上发现资源可能是一项艰巨的任务。在本文中,我们描述了一种对元数据服务模型的方法以及主题专用资源发现的本体论的概念。元数据模型基于Warwick框架并以基于类的面向对象的方式实现。该模型允许资源具有最适合于以结构化方式代表资源的单个元数据集。这样的模型使得能够包含新的元数据集,而无需更改所选集合。此外,元数据服务根据主题或社区特定分类分类,并根据特定用户查询搜索这些分类。本体可以确保这些分类和查询的语义一致性。与元数据服务的本体合并有助于在分布式网络上进行资源发现和信息共享。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号