Proto-OKN Theme 2 Fabric: FabRic Integrating Networked Knowledge (FRINK)

知识图作为一种集成、构造和挖掘信息以提取新知识的强大手段，已经出现在许多科学和技术领域。为了充分实现这些知识图的承诺，需要协调一致的努力来综合许多独立建模和开发的图，这些图在内容方面彼此部分重叠。Fabric integrated Networked Knowledge （FRINK）是一个通过创建统一部署、集成和协调Proto-OKN计划下创建的知识图的功能来应对这一挑战的项目，该功能可用于查询和分析的统一开放知识网络。使用FRINK创建原型OKN本身将促进开放知识网络（OKN）社区的创建——一个由支持人际互动和集体决策的有意结构组成的社会结构。通过FRINK作为社会技术基础设施，OKN社区将能够为原型OKN开发一个共同的愿景，并创建NSF开放知识网络的社会可持续发展。使用FRINK部署的Proto-OKN被设计成一个开放的、可查询的系统。所有相关的软件都是开源的，将在GitHub上免费提供，包括为下游用户提供关键示例和功能的演示工作流程。FRINK将特定学科的个人知识图连接到跨学科知识网络中。这不仅使Proto-OKN Theme 1项目创建的单个图形可以通过一个公共接口提供给研究和工具构建社区，它还从概念上集成了所有这些信息，允许形成意想不到的连接和创造性的知识挖掘。FRIK平台将是一个开放的研究工具，可以在不断增加的领域中进行复杂的查询，以支持融合研究。FRINK利用维基数据作为一个通用的和多样化的知识库来帮助联合知识图谱，在这个过程中帮助丰富了维基数据，提高了它对全球学者的实用性。FRINK结合了网络基础设施工程的最佳实践，对数据建模和知识集成的深刻理解，有目的的用户参与，有能力的项目管理和成熟的团队科学经验，与其他Proto-OKN组件一起工作。FRINK将围绕三个目标进行组织，详细介绍了三种类型的结构，这些结构将把主题1团队开发的最初不同的图结合在一起：(1)知识结构：用于知识图集成和互操作性的工具。为了将两个可能在各自内容上不重叠的图连接在一起，采用了一种创新的策略，使用Wikidata作为“知识骨干”，通过它可以将不同的图连接起来，交叉查询和分析。(2)技术结构：基于健壮的、可扩展的、基于云的技术基础设施和最佳实践云工程的通用知识图谱部署策略和技术，将部署一组查询和分析工具，以有效地进入联邦知识系统。(3)社会结构：参与主题1和3的项目，为OKN创建一个共同的愿景、标准语义和共享协议，以及共同努力创建一个具有共享价值的统一产品的热情，以解决高度多样化的用例。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Knowledge graphs have emerged in many domains of science and technology as a powerful means of integrating, structuring, and mining information to extract new knowledge. To fully realize the promise of these knowledge graphs, a concerted effort is needed to synthesize many independently modeled and developed graphs that overlap partially with each other, in terms of their content. The Fabric Integrating Networked Knowledge, FRINK, is a project that meets this challenge by creating capabilities that allow for the uniform deployment, integration, and harmonization of knowledge graphs created under the Proto-OKN program into a unified Open Knowledge Network for query and analysis. Using FRINK to create the Proto-OKN will itself foster in the creation of an Open Knowledge Network (OKN) Community—a social fabric comprising intentional structures that support interpersonal interactions and collective decision making. With FRINK serving as a sociotechnical infrastructure, the OKN community would be able to develop a shared vision for the Proto-OKN and create the social sustainer of the NSF Open Knowledge Network. The Proto-OKN deployed using FRINK is designed to be an open, queryable system. All of the associated software is open source and will be freely available in GitHub, including demonstration workflows that provide key examples and functionality for downstream users.FRINK connects discipline-specific individual knowledge graphs into a transdisciplinary knowledge network. Not only does this enable individual graphs created by Proto-OKN Theme 1 projects to be available to the research and tool-building communities through a common interface, it also conceptually integrates all of that information allowing the formation of unanticipated connections and creative knowledge mining. The FRIK platform will be an open research tool to enable sophisticated queries across an ever-increasing set of domains in support of convergent research. FRINK utilizes Wikidata as a common and diverse knowledge base to help federate knowledge graphs, in the process helping to enrich Wikidata and enhance its utility for scholars worldwide. FRINK combines best-practices in cyberinfrastructure engineering, deep understanding of data modeling and knowledge integration, purposeful user engagement, capable project management and proven team science experience to work with other Proto-OKN components. FRINK will be organized around three objectives, detailing three types of fabric that will bind together the initially disparate graphs developed by Theme 1 teams: (1) Knowledge Fabric: Tools for knowledge graph integration and interoperability. In order to connect together two graphs that may not overlap on their respective content, an innovative strategy is employed using Wikidata as a “knowledge backbone” through which diverse graphs could be linked, cross-queried and analyzed. (2) Technical Fabric: Common knowledge graph deployment strategies and technology based on robust, scalable, cloud-based technical infrastructure and best-practice cloud engineering, A set of query and analytic tools will be deployed for efficiently tapping into a federated knowledge system. (3) Social Fabric: Engagement with Themes 1 and 3 projects to create a common vision, standard semantics, and shared protocol for OKN, along with the enthusiasm to work together to create a unified product with shared values addressing highly diverse use cases.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.