Refcat: The Internet Archive Scholar Citation Graph

Abstract

As part of its scholarly data efforts, the Internet Archive (IA) releases a first version of a citation graph dataset, named refcat, derived from scholarly publications and additional data sources. It is composed of data gathered by the fatcat cataloging project 1 (the catalog that underpins IA Scholar), related web-scale crawls targeting primary and secondary scholarly outputs, as well as metadata from the Open Library 2 project and Wikipedia 3 . This first version of the graph consists of over 1.3B citations. We release this dataset under a CC0 Public Domain Dedication, accessible through Internet Archive 4 . The source code used for the derivation process, including exact and fuzzy citation matching, is released under an MIT license 5 . The goal of this report is to describe briefly the current contents and the derivation of the dataset.

Towards InnoGraph: A Knowledge Graph for AI Innovation

“…The purpose of InnoGraph is to provide data-driven support to each stage of AI innovation which could be understood as a "journey of an AI innovation", from inception to implementation. The journey of innovation can be seen as a composition non strictly in the presented order of the following stages: (1) an innovation typically appears in the academic world; (2) projects are started around the innovation; (3) the innovation gets possibly patented; (4) companies are established around the innovation; (5) companies get investments, possibly in several rounds; (6) investments influence the job market; (7) market reacts to the quality and possible impact of the innovation; (8) public and expert perception gets formed; (9) media starts publishing about the innovation and companies; (10) educational institutions integrate innovation in their curricula; (11) policymakers regulate the innovation; and (12) to close the cycle, funding agencies create new funding opportunities to create space for follow-up innovations.…”

“…In addition to structured data, we are looking into science popularization websites and blogs, such as the Stanford AI Index Report 3 and AI Vibrancy Tool 4 , LifeArchitect 5 , State of AI Report 2022 6 , 2022 AI Tech Trends Report 7 by Future Today Institute, Natural Language Processing Progress 8 , etc. Furthermore, we are collecting an extensive Zotero bibliography 9 .…”

“…Archive Scholar 21 [7], also known as FatCat 22 is a newer academic dataset by archive.org, the "internet memory of humanity". It includes 100M works, strong considerations for open access and permanent archiving, and is in active development.…”