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Application of a Semantic Search Algorithm to Semi-Automatic GUI Generation

机译:语义搜索算法在半自动GUI生成中的应用

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摘要

The Semantic Search research field aims to query metadata and to identify relevant subgraphs. While in traditional search engines queries are composed by lists of keywords connected through boolean operators, Semantic Search instead, requires the submission of semantic queries that are structured as a graph of concepts, entities and relations. Submission of this graph is however not trivial as while a list of keywords of interest can be provided by any user, the formulation of semantic queries is not easy as well.udOne of the main challenges of RDF Browsers lies in the implementation of interfaces that allow the common user to submit semantic queries by hiding their complexity. Furthermore a good semantic search algorithm is not enough to fullfil user needs, it is worthwhile to implement visualization methods which can support users in intuitively understanding why and how the results were retrieved. In this paper we present a novel solution to query RDF datasets and to browse the results of the queries in an appealing manner.
机译:语义搜索研究领域旨在查询元数据并识别相关的子图。在传统的搜索引擎中,查询是由通过布尔运算符连接的关键字列表组成的,而语义搜索则需要提交语义查询,这些语义查询被构造为概念,实体和关系的图形。但是,提交此图并不是一件容易的事,因为尽管任何用户都可以提供感兴趣的关键字列表,但语义查询的表述也不容易。 ud RDF浏览器的主要挑战之一在于实现接口通过隐藏普通查询的复杂性允许普通用户提交语义查询。此外,好的语义搜索算法不足以满足用户需求,值得实施可视化方法,以支持用户直观地了解检索结果的方式和方式。在本文中,我们提出了一种新颖的解决方案,用于查询RDF数据集并以一种有吸引力的方式浏览查询的结果。

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