Abstract
This paper introduces an ongoing project for mining potential business opportunities from the existing business innovation cases. Crevate (a consulting company) has collected thousands of cases from news articles and columns that are in textual narratives. We aim to transform the cases into knowledge graphs that cover what kinds of ideas (e.g., untact) are applied to which industrial areas (e.g., cafe). By using link prediction methods, we will be able to evaluate the prominence of combinations (e.g., untact cafe) between ideas and domains. This study focuses on explaining the collected cases and knowledge graphs with running examples.
| Original language | English |
|---|---|
| Pages (from-to) | 5-8 |
| Number of pages | 4 |
| Journal | CEUR Workshop Proceedings |
| Volume | 2794 |
| State | Published - 2020 |
| Event | AI4Narratives 2021 - Workshop on Artificial Intelligence for Narratives - Virtual, Yokohama, Japan Duration: 7 Jan 2021 → 8 Jan 2021 |
Bibliographical note
Funding Information:This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the ICT Consilience Creative program (IITP-2019-2011-1-00783) supervised by the IITP (Institute for Information & communications Technology Planning & Evaluation).
Publisher Copyright:
© 2020 by the paper's authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
