Researchers seeking to comprehend the state-of-the-art innovations in a particular field of study must examine recent patents and scientific articles in that domain. Innovation ecosystems consist of interconnected information about entities such as researchers, institutions, projects, products, and technologies. However, representing such information in a machine-readable format is challenging because concepts like "knowledge"are not easily represented. Nonetheless, even a partial representation of innovation ecosystems provides valuable insights. Therefore, representing innovation ecosystems as knowledge graphs (KGs) would enable advanced data analysis and generate new insights. To this end, we propose InnoGraph, a framework that integrates multiple heterogeneous data sources to build a Knowledge Graph of the worldwide AI innovation ecosystem.

Massri, B., Spahiu, B., Grobelnik, M., Alexiev, V., Palmonari, M., Roman, D. (2023). Towards InnoGraph: A Knowledge Graph for AI Innovation. In ACM Web Conference 2023 - Companion of the World Wide Web Conference, WWW 2023 (pp.843-849). Association for Computing Machinery, Inc [10.1145/3543873.3587614].

Towards InnoGraph: A Knowledge Graph for AI Innovation

Blerina Spahiu
;
Matteo Palmonari;
2023

Abstract

Researchers seeking to comprehend the state-of-the-art innovations in a particular field of study must examine recent patents and scientific articles in that domain. Innovation ecosystems consist of interconnected information about entities such as researchers, institutions, projects, products, and technologies. However, representing such information in a machine-readable format is challenging because concepts like "knowledge"are not easily represented. Nonetheless, even a partial representation of innovation ecosystems provides valuable insights. Therefore, representing innovation ecosystems as knowledge graphs (KGs) would enable advanced data analysis and generate new insights. To this end, we propose InnoGraph, a framework that integrates multiple heterogeneous data sources to build a Knowledge Graph of the worldwide AI innovation ecosystem.
paper
artificial intelligence; economics knowledge graph; innovation; innovation ecosystem; knowledge graph; science knowledge graph;
English
2023 World Wide Web Conference, WWW 2023 - 30 April 2023 through 4 May 2023
2023
ACM Web Conference 2023 - Companion of the World Wide Web Conference, WWW 2023
9781450394161
2023
843
849
reserved
Massri, B., Spahiu, B., Grobelnik, M., Alexiev, V., Palmonari, M., Roman, D. (2023). Towards InnoGraph: A Knowledge Graph for AI Innovation. In ACM Web Conference 2023 - Companion of the World Wide Web Conference, WWW 2023 (pp.843-849). Association for Computing Machinery, Inc [10.1145/3543873.3587614].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/416780
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