Creating an open linked data model for Research Graph using VIVO Ontology

This is the pre-print version of a paper accepted in Open Repository Conference in Brisbane, Australia, June 2017.Abstract Research Graph is an open collaborative project that builds the capability for connecting researchers, publications, research grants and research datasets (data in research).  VIVO is an open source, semantic web platform and a set of ontologies for representing scholarship.  To provide interoperability between Research Graph data and VIVO systems we modelled the Research Graph metamodel using the VIVO Integrated Semantic Framework. To evaluate the mapping, we used the model to connect figshare RDF records to data collections in Research Data Australia using Research Graph API. In addition, we are working toward loading Research Graph data into a VIVO instance.  VIVO provides a search capability, and pages for first class entities in the Research Graph model -- researcher, dataset, grant, and publication.  The result provides a visualisation solution for co-authors, co-funding, timeline, and a capability map for finding expertise related to concepts of interest.  The resulting linked open data will be made freely available and can be used in other tools for additional discovery.

本内容为2017年6月于澳大利亚布里斯班举办的Open Repository Conference（开放仓储会议）录用论文的预印本版本。摘要：研究图谱（Research Graph）是一项开放协作项目，旨在构建连接研究人员、学术出版物、研究基金与研究数据集（科研领域数据）的互联互通能力体系。VIVO是一款开源语义网平台，同时也是一套用于表征学术研究的本体集。为实现研究图谱数据与VIVO系统间的互操作性，我们基于VIVO集成语义框架对研究图谱元模型开展了建模工作。为评估该映射方案的效果，我们借助研究图谱应用程序编程接口（API），将figshare的资源描述框架（RDF）记录与澳大利亚研究数据（Research Data Australia）平台中的数据集资源进行了关联。此外，我们正推进将研究图谱数据加载至VIVO实例的工作。VIVO可为研究图谱模型中的核心实体——研究人员、数据集、研究基金与学术出版物提供搜索功能及专属展示页面。该方案可为合著关系、联合资助、时间线等场景提供可视化解决方案，并具备基于目标概念检索相关专业领域知识的能力。最终生成的关联开放数据将免费公开，可应用于其他工具以实现更多元的学术发现功能。