A LOD-based, query construction and refinement service for web search engines

I. Papadakis, Ioannis Apostolatos, Dimitris Apostolou
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引用次数: 1

Abstract

Nowadays, search engines are the obvious way of finding information on the web. However, there are times when users are forced to engage themselves in long and tedious search sessions during which they have to process their initial query a number of times until they come up with results that satisfy their information needs. This paper proposes a query construction and refinement service that aids users during their engagement with a large scale web search engine. As a proof of concept, GContext is presented and accordingly evaluated as an implementation of the proposed service. GContext integrates various sources of the lod-cloud within the environment of a large scale web search engine.
一个基于lod的web搜索引擎查询构建和细化服务
如今,搜索引擎是在网络上查找信息的明显方式。然而,有时用户被迫进行冗长而乏味的搜索会话,在此期间,他们必须多次处理初始查询,直到得到满足其信息需求的结果。本文提出了一种查询构建和优化服务,以帮助用户在使用大型网络搜索引擎的过程中进行查询。作为概念的证明,GContext作为提议的服务的实现被提出并相应地进行了评估。GContext将负载云的各种来源集成在一个大型的web搜索引擎环境中。
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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