subject predicate object context
66174 Creator 166ff8803e7e4bc39bf57257c1241a04
66174 Creator c9aa7f2e582d191ed728ad414c5ea711
66174 Creator 21e3abf33e3daaa89c07ea7d5da24bb0
66174 Creator 25b3b10b9da03c08922eae28b1249552
66174 Creator ext-d99aed11a5f18c09324e2eb7b92144ea
66174 Creator ext-f11986783d086e66e1decfe10f2840ca
66174 Date 2019
66174 Is Part Of repository
66174 abstract Analysing the relationship between academia and industry allows us to understand how the knowledge produced by the universities is being adopted and enriched by the industrial sector, and ultimately affects society through the release of relevant products and services. In this paper, we present a preliminary approach to assess and compare the research outputs of academia and industry. This solution integrates data from several knowledge graphs describing scientific articles (Microsoft Academics Graph), research topics (Computer Science Ontology), organizations (Global Research Identifier Database), and types of industry (DBpedia). We focus on the Semantic Web as exemplary field and report several insights regarding the different behaviours of academia and industry, and the types of industries most active in this field.
66174 authorList authors
66174 presentedAt ext-0de1df3eeedc6142d7a7a39559eadab5
66174 status peerReviewed
66174 uri http://data.open.ac.uk/oro/document/935059
66174 uri http://data.open.ac.uk/oro/document/935060
66174 uri http://data.open.ac.uk/oro/document/935061
66174 uri http://data.open.ac.uk/oro/document/935062
66174 uri http://data.open.ac.uk/oro/document/935063
66174 uri http://data.open.ac.uk/oro/document/935064
66174 uri http://data.open.ac.uk/oro/document/935065
66174 type AcademicArticle
66174 type Article
66174 label Angioni, Simone; Osborne, Francesco ; Salatino, Angelo ; Reforgiato Recupero, Diego and Motta, Enrico (2019). Integrating Knowledge Graphs for Comparing the Scientific Output of Academia and Industry. In: 18th International Semantic Web Conference (ISWC 2019): Posters & Demonstrations, Industry and Outrageous Ideas Tracks, 26-30 Oct 2019, Auckland, New Zeeland, CEUR WS, (In Press).
66174 label Angioni, Simone; Osborne, Francesco ; Salatino, Angelo ; Reforgiato Recupero, Diego and Motta, Enrico (2019). Integrating Knowledge Graphs for Comparing the Scientific Output of Academia and Industry. In: 18th International Semantic Web Conference (ISWC 2019): Posters & Demonstrations, Industry and Outrageous Ideas Tracks, 26-30 Oct 2019, Auckland, New Zeeland, CEUR WS, (In Press).
66174 Publisher ext-8f9cba86572a3e4a915e3c87fe0c84f7
66174 Title Integrating Knowledge Graphs for Comparing the Scientific Output of Academia and Industry
66174 in dataset oro