Toward the Semantic Web and Linked Data Exploration

Karwan Jacksi
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引用次数: 3

Abstract

The fact that the existing Web allows people to effortlessly share data over the Internet has resulted in the accumulation of vast amounts of information available on the Web. Therefore, a powerful search technology that will allow retrieval of relevant information is one of the main requirements for the success of the Web which is complicated further due to use of many different formats for storing information. Semantic Web technology has a prominent role in search engines to alleviate this issue by providing a way to understand the contextual meaning of data so as to retrieve relevant, high-quality results.Exploratory search system, a special information seeking and exploration approach, supports users who are unfamiliar with a topic or whose search goals are vague and unfocused to learn and investigate a topic through a set of activities. In order to achieve exploratory search goals, Linked Data can be used to help search systems in retrieving related data, so the investigation task runs smoothly.The quantity of data published on the Web according to principles of Linked Data is increasing intensely. However, this data is still largely limited to be used up by domain professionals and users who understand Linked Data technologies. Therefore, it is essential to develop tools to enhance intuitive perceptions of Linked Data for lay users. The features of Linked Data point to various challenges for an easy-to-use data presentation.In this presentation, I will summarize the Semantic Web and Linked Data technologies, challenges to the presentation of Linked Data will be stated, and finally an application with the aim of delivering a simple way to discover linked data resources; hiding technical challenges behind Linked Data; and providing both specialist and non-specialist users an interactive and effective way to explore RDF resources will be presented.
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迈向语义网和关联数据探索
现有的Web允许人们毫不费力地在Internet上共享数据,这一事实导致了Web上可用信息的大量积累。因此,允许检索相关信息的强大搜索技术是Web成功的主要要求之一,由于使用了许多不同的格式来存储信息,因此使Web更加复杂。语义Web技术在搜索引擎中发挥了重要作用,它提供了一种理解数据上下文含义的方法,从而检索相关的高质量结果,从而缓解了这一问题。探索性搜索系统是一种特殊的信息搜索和探索方式,它支持不熟悉某个主题或搜索目标模糊、不集中的用户通过一组活动来学习和调查某个主题。为了达到探索性的搜索目标,可以使用关联数据来帮助搜索系统检索相关数据,从而使调查任务顺利进行。根据关联数据的原则,在Web上发布的数据量正在急剧增加。然而,这些数据在很大程度上仍然局限于由了解关联数据技术的领域专业人员和用户使用。因此,开发工具来增强非专业用户对关联数据的直观感知至关重要。关联数据的特性指出了易于使用的数据表示的各种挑战。在这次演讲中,我将总结语义网和关联数据技术,并阐述关联数据呈现的挑战,最后是一个旨在提供一种简单方法来发现关联数据资源的应用程序;隐藏关联数据背后的技术挑战;并为专家和非专业用户提供一种交互式的、有效的方式来探索RDF资源。
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