AIDA: A knowledge graph about research dynamics in academia and industry

Abstract

Academia and industry share a complex, multifaceted, and symbiotic relationship. Analysing the knowledge flow between them, understanding which directions have the biggest potential, and discovering the best strategies to harmonise their efforts is a critical task for several stakeholders. Research publications and patents are an ideal medium to analyze this space, but current datasets of scholarly data cannot be used for such a purpose since they lack a high-quality characterization of the relevant research topics and industrial sectors. In this paper, we introduce the Academia/Industry DynAmics (AIDA) Knowledge Graph, which describes 21M publications and 8M patents according to the research topics drawn from the Computer Science Ontology. 5.1M publications and 5.6M patents are further characterized according to the type of the author’s affiliations and 66 industrial sectors from the proposed Industrial Sectors Ontology (INDUSO). AIDA was generated by an automatic pipeline that integrates data from Microsoft Academic Graph, Dimensions, DBpedia, the Computer Science Ontology, and the Global Research Identifier Database. It is publicly available under CC BY 4.0 and can be downloaded as a dump or queried via a triplestore. We evaluated the different parts of the generation pipeline on a manually crafted gold standard yielding competitive results.

The AIDA Dashboard: A Web Application for Assessing and Comparing Scientific Conferences

“…In this paper we proposed the AIDA Dashboard, a web application developed in collaboration with Springer Nature for analyzing and comparing scientific conferences which combines machine learning solutions, Semantic Web technologies, and visual analytics. It has been built on top of the Academia/Industry Dynamics Knowledge Graph [5], [50], a knowledge base that integrates information from Microsoft Academic Graph, Dimensions, DBpedia, the Computer Science Ontology, the Industrial Sectors Ontology, and the Global Research Identifier Database.…”

“…The second part was a standard System Usability Scale (SUS) 44 [6] questionnaire to assess the usability of the AIDA dashboard. The third section asked the researchers to rate the quality of the analytics for the two chosen conferences on a [1][2][3][4][5] scale. The fourth part included seven open questions about strengths and weaknesses of the AIDA Dashboard.…”

“…Current scholarly search engines and bibliometric applications provide a wide variety of functionalities to support the exploration of research data and produce various kinds of analytics. These include Semantic Scholar 1 , Dimensions 2 Scopus 3 , Web of Science 4 , AMiner 5 , and many others. However, these tools only provide a limited set of analytics and metrics for assessing research conferences, limiting our ability to perform a comprehensive analysis of these events.…”

“…The AIDA Dashboard builds on the Academia/Industry DynAmics Knowledge Graph (AIDA) [5], a new knowledge base that integrates information from Microsoft Academic Graph (MAG), Dimensions 8 , DBpedia 9 , the Computer Science Ontology (CSO), the Industrial Sectors Ontology (INDUSO), and the Global Research Identifier Database (GRID) 10 . In order to associate conferences with research topics and industrial sectors we developed two unsupervised classifiers (described respectively in Section III-A and Section III-C) that consider the abstract of the articles, the relevant metadata, and additional information from DBpedia and domain ontologies (CSO, INDUSO).…”

“…Semantic Scholar -https://www.semanticscholar.org/ 2 Dimensions -https://app.dimensions.ai/discover/publication 3 Scopus -https://www.scopus.com4 Web of Science -https://www.webofknowledge.com5 AMiner -https://www.aminer.cn/VOLUME 4, 2022 …”