语义媒体维基中的领域特定知识图谱语料库SMW Cloud: A Corpus of Domain-Specific Knowledge Graphs from Semantic MediaWikis |
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课程网址: | https://videolectures.net/eswc2024_dobriy_knowledge_graphs/ |
主讲教师: | Daniil Dobriy |
开课单位: | 2024年上海世博会 |
开课时间: | 2024-06-18 |
课程语种: | 英语 |
中文简介: | 语义维基已经成为一种越来越流行的协作管理知识图的方式。它们由Semantic MediaWiki和Wikibase等平台提供支持,这两个平台都使MediaWiki能够存储和发布结构化数据。虽然目前有许多语义维基正在使用中,但很少有人努力收集和分析其结构化数据,也没有将其提供给研究界。本文试图通过从大量SemanticMediaWiki门户网站语料库中系统地收集结构化数据,并使用各种本体论度量对这些wiki之间的本体论多样性(和重用)进行深入分析,来解决这一差距。我们的论文旨在证明语义维基是链接开放数据(LOD)中有价值和广泛的一部分,事实上,它可以被视为LOD生态系统中一个活跃的“子云”,可以为中小型领域特定知识图的演变提供有用的见解。 |
课程简介: | Semantic wikis have become an increasingly popular means of collaboratively managing Knowledge Graphs. They are powered by platforms such as Semantic MediaWiki and Wikibase, both of which enable MediaWiki to store and publish structured data. While there are many semantic wikis currently in use, there has been little effort to collect and analyse their structured data, nor to make it available for the research community. This paper seeks to address this gap by systematically collecting structured data from an extensive corpus of SemanticMediaWiki-powered portals and providing an in-depth analysis of the ontological diversity (and re-use) amongst these wikis using a variety of ontological metrics. Our paper aims to demonstrate that semantic wikis are a valuable and extensive part of Linked Open Data (LOD), and in fact may be considered an own active “sub-cloud” within the LOD ecosystem, which can provide useful insights into the evolution of small and medium-sized domain-specific Knowledge Graphs. |
关 键 词: | SMW; 语义媒体维基; 知识图谱; 语料库 |
课程来源: | 视频讲座网 |
数据采集: | 2024-08-13:liyq |
最后编审: | 2024-08-13:liyq |
阅读次数: | 11 |