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把数学带到LOD:数学科学文献语义发布平台原型

Bringing Math to LOD: A Semantic Publishing Platform Prototype for Scientific Collections in Mathematics
课程网址: http://videolectures.net/iswc2013_zhiltsov_scientific_collections...  
主讲教师: Nikita Zhiltsov
开课单位: 喀山国立大学
开课时间: 2013-11-28
课程语种: 英语
中文简介:

我们介绍了我们在开发用于挖掘数学学术论文以获得链接数据表示形式的软件平台方面的工作。当前,链接开放数据(LOD)云缺少有关专业级数学的最新信息和详细信息。在我们看来,主要原因是缺少合适的工具来分析数学论文中的潜在语义并有效地构建其综合表示。我们已经开发出一种整体方法来分析数学文档,包括基于本体的提取,文章主体及其元数据到RDF的转换,与某些现有LOD数据集的集成以及语义搜索。我们认为该平台可能有助于丰富现代在线科学馆藏的用户体验。

课程简介: We present our work on developing a software platform for mining mathematical scholarly papers to obtain a Linked Data representation. Currently, the Linking Open Data (LOD) cloud lacks up-to-date and detailed information on professional level mathematics. To our mind, the main reason for that is the absence of appropriate tools that could analyze the underlying semantics in mathematical papers and effectively build their consolidated representation. We have developed a holistic approach to analysis of mathematical documents, including ontology based extraction, conversion of the article body as well as its metadata into RDF, integration with some existing LOD data sets, and semantic search. We argue that the platform may be helpful for enriching user experience on modern online scientific collections.
关 键 词: 开放数据; 潜在语义
课程来源: 视频讲座网
数据采集: 2020-11-23:zyk
最后编审: 2020-11-23:zyk
阅读次数: 36