Towards a Vocabulary Terms Discovery Assistant

Ioannis Stavrakantonakis, A. Fensel, D. Fensel
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Abstract

The Linked Open Vocabularies (LOV) curated directory list of vocabularies has changed radically the way that engineers are assisted to explore the vocabulary space by searching for terms and vocabularies using the provided keyword based search. Running a survey regarding the decision of the vocabulary terms that can be used to annotate a specific webpage, we realised the gap between the vocabulary creators side and the vocabulary users. In this direction, the presented framework, namely the LOVR framework, aims to facilitate the vocabulary terms discovery by providing a Web service with a set of endpoints that can be invoked to get a list of recommended terms for a given webpage. Within this work, we present the framework architecture and the fundamental parts of the prototype that implements the methodology behind the LOVR framework, which leverages the LOV search. Furthermore, the various endpoints of the Web service are described by explaining their usage scenarios.
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迈向词汇术语发现助手
链接开放词汇表(LOV)管理的词汇表目录列表从根本上改变了帮助工程师通过使用提供的基于关键字的搜索搜索术语和词汇表来探索词汇表空间的方式。我们做了一项关于选择哪些词汇可以用于特定网页注释的调查,发现词汇创造者和词汇使用者之间存在差距。在这个方向上,所提出的框架,即LOVR框架,旨在通过提供具有一组端点的Web服务来促进词汇表术语的发现,可以调用这些端点来获得给定网页的推荐术语列表。在这项工作中,我们展示了框架架构和原型的基本部分,这些部分实现了LOVR框架背后的方法,它利用了LOV搜索。此外,通过解释Web服务的各种端点的使用场景来描述它们。
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