Domain-Specific Knowledge Graphs as Public Service. Powering Social-Impact Funding in the U.S.
Abstract: Web and mobile technologies enable ubiquitous access to information. Yet, it is getting harder, even for subject matter experts, to quickly identify quality, trustworthy, and reliable content available online through search engines powered by advanced knowledge graphs. This paper explores the practical applications of Domain-Specific Knowledge Graphs that allow for the extraction of information from trusted published and unpublished sources, to map the extracted information to an ontology defined in collaboration with sector experts, and to enable the public to go from single queries into ongoing conversations meeting their knowledge needs reliably. We focused on Social-Impact Funding, an area of need for over one million nonprofit organizations, foundations, government entities, social entrepreneurs, impact investors, and academic institutions in the US.
Dr. Ying Li – Vitalii Zakhozhyi (sr. fellow 2019-20 cohort) – Daniel Zhu (distinguished Fellow 2020) – Luis J. Salazar