论文标题
用背景丰富学术知识
Enriching Scholarly Knowledge with Context
论文作者
论文摘要
利用基于GraphQL的联合查询服务，该服务集成了多个学术通信基础架构（特别是数据属，OrcID，ROR，Openaire，Spinantic Scholar，Wikidata和Altmetric），我们开发了一种新型的Web Widget方法，用于呈现学术知识的呈现，并具有丰富的背景信息。我们在开放研究知识图（ORKG）中实现了建议的方法，并在三种小部件上展示了它。首先，我们为ORKG纸张视图设计了一个小部件，该小部件介绍了有关相关数据集，软件，项目信息，主题和指标的上下文信息。其次，我们将ORKG撰稿人概况视图扩展到上下文信息，包括著名文章，已开发的软件，链接的项目和研究兴趣。第三，我们通过引入上下文方面（例如引用）来提高ORKG比较的搜索。结果，设计的方法使介绍ORKG学术知识可以灵活地富含从众多技术上异质的学术交流基础架构中获得的上下文信息。
Leveraging a GraphQL-based federated query service that integrates multiple scholarly communication infrastructures (specifically, DataCite, ORCID, ROR, OpenAIRE, Semantic Scholar, Wikidata and Altmetric), we develop a novel web widget based approach for the presentation of scholarly knowledge with rich contextual information. We implement the proposed approach in the Open Research Knowledge Graph (ORKG) and showcase it on three kinds of widgets. First, we devise a widget for the ORKG paper view that presents contextual information about related datasets, software, project information, topics, and metrics. Second, we extend the ORKG contributor profile view with contextual information including authored articles, developed software, linked projects, and research interests. Third, we advance ORKG comparison faceted search by introducing contextual facets (e.g. citations). As a result, the devised approach enables presenting ORKG scholarly knowledge flexibly enriched with contextual information sourced in a federated manner from numerous technologically heterogeneous scholarly communication infrastructures.
