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Contribution Details
| Type | Conference or Workshop Paper |
| Scope | Discipline-based scholarship |
| Published in Proceedings | Yes |
| Title | A machine learning approach to extract contributions relevant to sustainable development from a university’s open repository and archive |
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| Presentation Type | paper |
| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
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| ISBN | 978-3844061383 |
| Event Title | EnviroInfo 2018 |
| Event Type | conference |
| Event Location | Garching b. München |
| Event Start Date | September 5 - 2018 |
| Event End Date | September 7 - 2018 |
| Series Name | Berichte aus der Umweltinformatik |
| Place of Publication | Aachen |
| Publisher | Shaker |
| Abstract Text | 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). |
| Other Identification Number | merlin-id:16984 |
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