图 书 馆
使用BMEcat目录作为语义Web上产品主数据的杠杆Using BMEcat Catalogs as a Lever for Product Master Data on the Semantic Web |
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| 课程网址: | http://videolectures.net/eswc2013_stolz_bmecat/ |
| 主讲教师: | Alex Stolz |
| 开课单位: | 慕尼黑联邦国防军大学 |
| 开课时间: | 2013-07-08 |
| 课程语种: | 英语 |
| 中文简介: |  迄今为止，通常使用EDIFACT，cXML或BMEcat等企业对企业（B2B）目录标准来完成价值链中业务伙伴之间的产品信息自动交换。同时，Web数据，尤其是GoodRelations词汇表，是以机器可读格式发布高度结构化产品数据的必要手段。发布丰富的产品描述的优势可能是多方面的，包括Web应用程序之间更好的集成和信息交换，价值链各个阶段的高质量数据，或者有机会支持更精确，更有效的搜索。在本文中，我们（1）强调了语义网上电子商务的丰富产品主数据的重要性，并且（2）提供了一种工具，用于将BMEcat XML数据源转换为锚定在GoodRelations词汇表中的，基于RDF的数据模型。我们使用从2500家规模和域不同的在线零售商那里收集到的产品数据对我们的提案的好处进行了测试。 |
| 课程简介: | To date, the automatic exchange of product information between business partners in a value chain is typically done using Business-to Business (B2B) catalog standards such as EDIFACT, cXML, or BMEcat. At the same time, the Web of Data, in particular the GoodRelations vocabulary, o thers the necessary means to publish highly-structured product data in a machine-readable format. The advantage of the publication of rich product descriptions can be manifold, including better integration and exchange of information between Web applications, high-quality data along the various stages of the value chain, or the opportunity to support more precise and more ef ective searches. In this paper, we (1) stress the importance of rich product master data for e-commerce on the Semantic Web, and (2) present a tool to convert BMEcat XML data sources into an RDF-based data model anchored in the GoodRelations vocabulary. The benefi ts of our proposal are tested using product data collected from a set of 2500+ online retailers of varying sizes and domains. |
| 关 键 词: | 信息交换; 数据源转换; Web应用 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2021-03-24：zyk |
| 最后编审: | 2021-03-24：zyk |
| 阅读次数: | 31 |