Semi-automatic Acquisition of Semantic Descriptions of Web Sites

Sudhir Agarwal
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引用次数: 7

Abstract

In order to obtain the desired information or functionality in the Web, a user often needs to perform multiple interactions with the Web site, e.g. submitting Web forms filled up with appropriate information, and the further execution of such a Web process depends on the information provided by the user in the previous steps of the process. The formal models underlying existing systems for supporting users in coping with the Web do not capture the dynamics and data flow of Web processes. As a result, searching for information in the so called "Deep Web" or desired business processes offered via the Web still requires significant manual effort. In this paper, we present a semantic process description language and present a mapping of the dynamics and data flow of Web sites to our semantic process description language. In order to allow development of more sophisticated methods and tools that consider the dynamics and data flow inside or among Web sites, significant number of descriptions of Web sites are needed. We approach this bootstrapping problem by presenting a technique for semi-automatic acquisition of semantic descriptions of Web Sites.
网站语义描述的半自动获取
为了在Web中获得所需的信息或功能,用户经常需要与Web站点进行多次交互,例如,提交填满适当信息的Web表单,并且这种Web流程的进一步执行取决于用户在该流程的前几步中提供的信息。支持用户处理Web的现有系统的正式模型没有捕获Web流程的动态和数据流。因此,在所谓的“深度网络”中搜索信息或通过Web提供的所需业务流程仍然需要大量的人工工作。本文提出了一种语义过程描述语言,并将网站的动态和数据流映射到我们的语义过程描述语言。为了允许开发更复杂的方法和工具来考虑网站内部或网站之间的动态和数据流,需要对网站进行大量的描述。我们通过提出一种半自动获取Web站点语义描述的技术来解决这个自举问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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