基于Web服务的住宿元搜索

J. Dorn, Peter Hrastnik, A. Rainer, Peter Starzacher
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引用次数: 7

摘要

现在可以在许多不同的网站上找到关于可用酒店房间的信息。然而,问题在于,首先,游客不知道该访问哪个网站,其次,如果她找到了某些网站,如何比较这些网站的结果。我们描述了一个高级元搜索引擎,用于在不同的搜索门户中搜索可用的住宿。该引擎可以在不同的平台上访问,例如Internet浏览器、公共多媒体Internet终端或pda、手机等移动设备。该引擎应用于两种不同的场景:目的地管理系统使用元搜索来捆绑特定旅游目的地的不同搜索引擎的服务,或者服务提供商为其客户提供移动解决方案,根据移动客户端的位置或其他上下文属性搜索附近的住宿。该解决方案基于到各个搜索引擎的Web服务接口,元搜索再次作为Web服务部署,以便轻松集成到其他应用程序中。这也支持不同客户机平台的实现,因为只需要调整表示层。该系统解决了不同使用的搜索引擎中不同表示概念的问题。该引擎包括地理服务,例如由外部提供者提供的地理编码或地图表示。由于搜索引擎使用不同的数据、不同的地理概念和不同的知识粒度,我们使用领域本体在概念之间进行转换。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Web Service-Based Meta-Search for Accommodations
Information about available hotel rooms can be found in many different sites today. However, the problem is that first, a tourist does not know which site to access and second if she founds certain sites how to compare the results of these sites. We describe an advanced meta-search engine designed to search for available accommodation in different search portals. The engine can be accessed from different platforms such as Internet browser, public multimedia Internet terminals, or mobile devices such as PDAs or cell phones. The engine is applied in two different scenarios: a destination management system uses the meta-search to bundle the services of different search engines for a certain tourism destination or a service provider offers a mobile solution to its clients where dependent on the position of the mobile client or other context attributes an accommodation is searched for nearby. The solution is based on Web service interfaces to the individual search engines and the meta-search again is deployed as a Web service to enable the easy integration into other applications. This supports also the implementation for different client platforms, since only the presentation layer has to be adapted. The system solves problems of different representational concepts in different used search engines. The engine includes geographical services such as geo-coding or map representation delivered by external providers. Since the search engines use different data, different geographic concepts and different granularities of knowledge we use a domain-ontology to translate between concepts.
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