A easy user interface of IR system over large scale deep web

Yimin Li, Chengjun Xie
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引用次数: 2

Abstract

The Deep Web is characterized by its large scale, domain diversity, very high-quality content, and vast heterogeneous collections of structured data. Traditional data integration techniques are no longer valid in the face of such heterogeneity and scale, and the integrated interfaces can become too complicated for ordinary users to use. In this paper, we propose a novel keyword-based user interface system EasyUI for achieving web-scale data integration and easy to use for ordinary users. Dealing with heterogeneity on the web-scale presents many new challenges. We proposed new methods to address these challenges, i.e., indexing schemata terms, data values, and domains features of the Deep Web, processing user input, mapping the user query to domain that the user query most likely corresponds to, and translating the user query into candidate structured queries for the domain. Our experiments show that EasyUI performs effectively.
一个简单的用户界面的IR系统在大规模深网
深网的特点是规模大、领域多样、高质量的内容和大量异构的结构化数据集合。面对这样的异构性和规模,传统的数据集成技术已经不再有效,集成的接口可能变得过于复杂,普通用户无法使用。在本文中,我们提出了一种新的基于关键字的用户界面系统EasyUI,以实现web规模的数据集成,并且易于普通用户使用。处理网络规模上的异构性提出了许多新的挑战。我们提出了新的方法来解决这些挑战,即索引模式术语、数据值和深度Web的域特征,处理用户输入,将用户查询映射到用户查询最可能对应的域,并将用户查询转换为该域的候选结构化查询。我们的实验表明EasyUI是有效的。
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