利用语义数据将服务链接到网站

Dennis Wolters, Stefan Heindorf, Jonas Kirchhoff, G. Engels
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引用次数: 6

摘要

网站越来越多地嵌入语义数据用于搜索引擎优化。最常见的语义数据本体schema.org得到了所有主要搜索引擎的支持,它描述了500多种数据类型,包括日历事件、食谱、产品和电视节目。到目前为止,用户希望将这些数据传递给他们最喜欢的应用程序,例如他们的日历、烹饪书、价格比较应用程序甚至电视接收器等智能设备,都依赖于繁琐且容易出错的解决方案,例如重新输入数据或一系列复制和粘贴操作。在本文中,我们提出了语义数据中介(SDM),这是一种允许将语义数据轻松传输到众多服务的方法,从web服务到安装在不同设备上的应用程序。SDM从客户端当前显示的网页中提取语义数据,为用户提供合适的服务,并通过按下一个按钮,将这些数据转发到所需的服务,同时在两者之间进行所有必要的数据转换和服务接口适配。为了实现这一点,我们构建了一个服务描述、数据转换器和服务适配器的可重用存储库,它可以被人群扩展。我们将服务链接到网站的方法完全依赖于语义数据,不需要网站或服务开发人员的任何额外支持。我们已经全面实施了我们的方法,并提出了一个现实世界的案例研究,证明了它的可行性和实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Linking Services to Websites by Leveraging Semantic Data
Websites increasingly embed semantic data for search engine optimization. The most common ontology for semantic data, schema.org, is supported by all major search engines and describes over 500 data types, including calendar events, recipes, products, and TV shows. As of today, users wishing to pass this data to their favorite applications, e.g., their calendars, cookbooks, price comparison applications or even smart devices such as TV receivers, rely on cumbersome and error-prone workarounds such as reentering the data or a series of copy and paste operations. In this paper, we present Semantic Data Mediator (SDM), an approach that allows the easy transfer of semantic data to a multitude of services, ranging from web services to applications installed on different devices. SDM extracts semantic data from the currently displayed web page on the client-side, offers suitable services to the user, and by the press of a button, forwards this data to the desired service while doing all the necessary data conversion and service interface adaptation in between. To realize this, we built a reusable repository of service descriptions, data converters, and service adapters, which can be extended by the crowd. Our approach for linking services to websites relies solely on semantic data and does not require any additional support by either website or service developers. We have fully implemented our approach and present a real-world case study demonstrating its feasibility and usefulness.
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