使用LODAtlas浏览链接数据目录Browsing Linked Data Catalogs with LODAtlas |
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课程网址: | http://videolectures.net/iswc2018_gozukan_browsing_linked/ |
主讲教师: | Hande Gözükan |
开课单位: | Inria Saclay-法国 |
开课时间: | 2018-11-22 |
课程语种: | 英语 |
中文简介: | 数据网络正在快速增长,过去十年中链接开放数据(LOD)云的发展就是例证。这种增长的后果之一是,应用程序开发人员和最终用户越来越难以找到与他们相关的数据集。语义Web搜索引擎、开放数据目录、数据集和框架(如LODStats和LOD Laundromat)都很有用,但只能提供关于Web上可用数据集的部分视图,即使是补充视图。我们引入了LODAtlas,这是一个使用户能够查找感兴趣数据集的门户。用户可以对数据集的元数据和内容进行不同类型的查询,并从多个源进行聚合。然后,他们可以快速评估匹配数据集的相关性,这得益于LODAtlas对其一般元数据、连接和内容的汇总可视化。 |
课程简介: | The Web of Data is growing fast, as exemplified by the evolution of the Linked Open Data (LOD) cloud over the last ten years. One of the consequences of this growth is that it is becoming increasingly difficult for application developers and end-users to find the datasets that would be relevant to them. Semantic Web search engines, open data catalogs, datasets and frameworks such as LODStats and LOD Laundromat, are all useful but only give partial, even if complementary, views on what datasets are available on the Web. We introduce LODAtlas, a portal that enables users to find datasets of interest. Users can make different types of queries about both the datasets' metadata and content, aggregated from multiple sources. They can then quickly evaluate the matching datasets' relevance, thanks to LODAtlas' summary visualizations of their general metadata, connections and contents. |
关 键 词: | 数据网络; 链接开放数据; 语义Web搜索引擎; 一般元数据 |
课程来源: | 视频讲座网 |
数据采集: | 2022-12-23:cyh |
最后编审: | 2023-05-15:cyh |
阅读次数: | 20 |