D. P. Bambang Purnomosidi, L. Nugroho, P. Santosa, Widyawan
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引用次数: 0
摘要
世界范围内提供了一个巨大的资源供人类利用。它们存在的可能性有很多,从非结构化数据(只能由人类处理)、半结构化数据(非结构化数据中的结构化数据)到完全结构化数据。在这种情况下,存在许多web scraper软件来从web中获取和提取这些数据。然而,到目前为止,这些工具只是为了帮助人类获取网页/资源。因此,虽然对人类有用,但它们对自动化的贡献并不大。为了提高自动化水平,我们必须将实用功能结合到客户机/ web scraper(作为服务消费者)和服务器/ web应用程序(作为服务提供者)中。在本文中,我们提出了一种用于服务消费者和服务提供者交互的声明性查询语言。为了实现语用能力,我们使用言语行为理论中的言外行为作为交互模式。声明性查询语言驻留在服务使用者端,而服务提供者提供资源来解析来自服务使用者的请求并采取相应的行动。给出了声明式查询语言的原型实现。
A declarative query language based on speech act theory for web systems
The World Wide Wide provides an enormous resources to be utilized by human. There are many possibilities of their existence, from unstructured data (can only be processed by human), semi structured data (structured data inside unstructured data), and fully structured data. In this context, many web scraper software exist to fetch and extract those data from the Web. However, until now, those tools are meant to just help human to fetch web pages / resources. Therefore, while useful for human, they do not significantly contribute to automation. To enhance level of automation, we must combine pragmatic capabilities into client / web scraper (as service consumer) and server / web application (as service provider). In this paper we propose a declarative query language for service consumer and service provider interaction. To enable pragmatic capabilities, we use illocutionary act from speech act theory as interaction patterns. The declarative query language reside on the service consumer's side while service provider provides resources to parse requests from service consumer and act accordingly. A prototype implementation of the declarative query language is presented.