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Maksimov, Yuliyan; Hilty, Lorenz (2018). A machine learning approach to extract contributions relevant to sustainable development from a university’s open repository and archive. In: EnviroInfo 2018, Garching b. München, 5 September 2018 - 7 September 2018, Shaker.
The project reported here addresses the question whether it is possible – with simple means – to mine a repository of academic publications for those items that are potentially relevant to the topic of sustainable development. In particular, we wanted to test how well this works for a repository that covers a broad range of disciplines from seven faculties (Science, Arts, Theology, Law, Economics, Human Medicine, Veterinary Medicine).
| Item Type: | Conference or Workshop Item (Paper), refereed, original work |
|---|---|
| Communities & Collections: | 03 Faculty of Economics > Department of Informatics |
| Dewey Decimal Classification: | 000 Computer science, knowledge & systems |
| Scope: | Discipline-based scholarship (basic research) |
| Language: | English |
| Event End Date: | 7 September 2018 |
| Deposited On: | 02 Jul 2019 12:37 |
| Last Modified: | 06 Mar 2024 14:27 |
| Publisher: | Shaker |
| Series Name: | Berichte aus der Umweltinformatik |
| ISBN: | 978-3844061383 |
| OA Status: | Closed |
| Other Identification Number: | merlin-id:16984 |
Maksimov, Yuliyan