This paper describes an ontology-based approach to integrate datasets from Intellectual Property Australia and the Australian Securities Exchange to study firms in business networks. We combine different indicator variables with SPARQL queries for research to understand the characteristics of different firms in multiple business networks. We use an exponential random graph models approach to describe factors that help firms form business networks. In doing so we find evidence of homophily for large firms in patents and trademarks business networks. They are more likely to form business networks in comparison with small & medium firms. For firms in patents and shared director and trademarks and directors business networks, firm size does not play an important factor in the formation of business networks and there is limited evidence of homophily.
|Publication status||Published - 2018|
|Event||2018 Joint International Workshops on Contextualized Knowledge Graphs, and Semantic Statistics, CKGSemStats 2018 - Monterey, United States|
Duration: 8 Oct 2018 → …
|Conference||2018 Joint International Workshops on Contextualized Knowledge Graphs, and Semantic Statistics, CKGSemStats 2018|
|Period||8/10/18 → …|