Integrating Knowledge Graphs for Analysing Academia and Industry Dynamics

“Integrating Knowledge Graphs for Analysing Academia and Industry Dynamics” is a workshop paper submitted to the 1st Workshop on Scientific Knowledge Graphs held in conjunction with the 24th International Conference on Theory and Practice of Digital Libraries (TPDL 2020).


Simone Angioni1, Francesco Osborne2, Angelo A. Salatino2, Diego Reforgiato Recupero1, Enrico Motta2

1 University of Cagliari, Via Università 40, 09124 Cagliari

2 Knowledge Media Institute, The Open University, MK7 6AA, Milton Keynes, UK



Academia and industry are constantly engaged in a joint effort for producing scientific knowledge that will shape the society of the future. Analysing the knowledge flow between them and understanding how they influence each other is a critical task for researchers, governments, funding bodies, investors, and companies. However, current corpora are unfit to support large-scale analysis of the knowledge flow between academia and industry since they lack of a good characterization of research topics and industrial sectors. In this short paper, we introduce the Academia/Industry DynAmics (AIDA) Knowledge Graph, which characterizes 14M papers and 8M patents according to the research topics drawn from the Computer Science Ontology. 4M papers and 5M patents are also classified according to the type of the author’s affiliations (academy, industry, or collaborative) and 66 industrial sectors (e.g., automotive, financial, energy, electronics) obtained from DBpedia. AIDA was generated by an automatic pipeline that integrates several knowledge graphs and bibliographic corpora, including Microsoft Academic Graph, Dimensions, English DBpedia, the Computer Science Ontology, and the Global Research Identifier Database.


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