Academia Industry DynAmics
Knowledge Graph
About
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About

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. While research publications and patents are an ideal media to analyse this space, current datasets of scholarly data can not be used for such a purpose since they lack a high-quality characterization of the relevant research topics and industrial sectors.
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 (academy, industry, or collaborative) and 66 industrial sectors (e.g., automotive, financial, energy, electronics) organized in a two-level taxonomy.
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.

Permanent URL

http://w3id.org/aida

Resources

SPARQL Endpoint

The endpoint where it is possible to query AIDA via SPARQL.

Dashboard

A tool for exploring and making sense of scientific conferences.

Dataset dumps

Download AIDA Datasets.

AIDA Schema

Explore AIDA Schema.

INDUSO

INDUstrial Sector Ontology.

Evaluation

Evaluation material.

Publications

  • Simone Angioni, Angelo Salatino, Francesco Osborne, Diego Reforgiato Recupero, and Enrico Motta. The AIDA Dashboard: a Web Application for Assessing and Comparing Scientific Conferences. Submitted to the Joint Conference on Digital Libraries (JCDL 2021).

  • Simone Angioni, Angelo Salatino, Francesco Osborne, Diego Reforgiato Recupero, and Enrico Motta. AIDA: a Knowledge Graph about Research Dynamics in Academia and Industry. Submitted to the Special Issue on 'Scientific Knowledge Graphs and Research Impact Assessment' at the Quantitative Science Studies Journal (QSS).

  • Simone Angioni, Angelo Salatino, Francesco Osborne, Diego Reforgiato Recupero, and Enrico Motta. Integrating Knowledge Graphs for Analysing Academia and Industry Dynamics. Scientific Knowledge Graph Workshop at TPDL 2020.

  • Simone Angioni, Angelo Salatino, Francesco Osborne, Diego Reforgiato Recupero, and Enrico Motta. Integrating Knowledge Graphs for Comparing the Scientific Output of Academia and Industry. In ISWC 2019 Posters & Demonstrations and Industry Tracks @ The Semantic Web – ISWC 2019, 26-30 October 2019, Auckland, New Zeland, CEUR Workshop, 2019.

Team

Simone Angioni

Department of Mathematics and Computer Science, University of Cagliari (Italy)

Angelo A. Salatino

Knowledge Media Institute, The Open University, Milton Keynes (UK)

Francesco Osborne

Knowledge Media Institute, The Open University, Milton Keynes (UK)

Diego Reforgiato Recupero

Department of Mathematics and Computer Science, University of Cagliari (Italy)

Enrico Motta

Knowledge Media Institute, The Open University, Milton Keynes (UK)

Contact Us

For information and questions please contact:
Francesco Osborne – francesco [dot] osborne [at] open [dot] ac [dot] uk
Angelo Salatino – angelo [dot] salatino [at] open [dot] ac [dot] uk