Semantic Annotation and Search for Deep Web Services
Semantic Annotation and Search for Deep Web Services
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DOI：
10.1109/cecandeee.2008.141
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发表时间：
2008-07
期刊：
影响因子：
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通讯作者：
Soon Ae Chun;Janice Warner
中科院分区：
文献类型：
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作者：
Soon Ae Chun;Janice Warner
在本文中，我们认识到当前搜索引擎不索引和搜索深网的缺点。我们提出了深层网络服务搜索引擎的需求，它将导致深层数据源中的查询对象。为了实现DWS搜索引擎，我们提出了深度Web服务（DWS）的语义元数据和注释，这是一个推理组件，利用包含查询项的数据源出现的可能性来评估DWS搜索深网内容的相关性，并提出了一种对DWS进行排名的方法。深度Web服务标注不仅像任何Web服务一样考虑服务描述，而且还具有可以指导DWS搜索的频率分布、聚类和语义预测功能。
In this paper, we recognize the shortcomings of the current search engines that do not index and search the deep Web. We present requirements of a deep Web service search engine, that will lead to the query objects in the deep data sources. In order to realize the DWS search engine, we propose semantic metadata and annotation of deep Web services (DWS), a reasoning component to assess the relevance of DWS for searching the deep Web contents, using likelihood of occurrence of data sources that contain the query terms, and present a method of ranking the DWSs. The deep Web service annotation considers not only the service descriptions like any Web services, but also has the frequency distribution, clustering and semantic prediction functions that may guide the search for DWSs.