Stephan Mäs
Biographic Data
| ID | 7686862 |
|---|---|
| NAME | Stephan Mäs |
| GIVEN NAMES | Stephan |
| FAMILY NAME | Mäs |
| SIGNATURE | MAS S |
| AFFILIATIONS | Technische Universität Dresden |
| ORCID | 0000-0002-9016-1996 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Context-Aware Search for Environmental Data Using Dense Retrieval
The search for environmental data typically involves lexical approaches, where query terms are matched with metadata records based on measures of term frequency. In contrast, dense retrieval approaches employ language models to comprehend the context and meaning of a query and provide relevant search results. However, for environmental data, this has not been researched and there are no corpora or evaluation datasets to fine-tune the models. This…
Land Management and Ecosystem Services How Collaborative Research Programmes Can Support Better Policies
Land management, the organisation of the use and development of land, is an important instrument for addressing problems of rising greenhouse gas emissions and loss of natural resources. Yet, natural-social systems in which land management policies are implemented are poorly understood, thus decreasing the effectiveness of these policies. Local studies provide valuable insights, though only for the local conditions prevalent during the investigat…
No prominent works on this page.
Land Management and Ecosystem Services How Collaborative Research Programmes Can Support Better Policies
Land management, the organisation of the use and development of land, is an important instrument for addressing problems of rising greenhouse gas emissions and loss of natural resources. Yet, natural-social systems in which land management policies are implemented are poorly understood, thus decreasing the effectiveness of these policies. Local studies provide valuable insights, though only for the local conditions prevalent during the investigat…
Context-Aware Search for Environmental Data Using Dense Retrieval
The search for environmental data typically involves lexical approaches, where query terms are matched with metadata records based on measures of term frequency. In contrast, dense retrieval approaches employ language models to comprehend the context and meaning of a query and provide relevant search results. However, for environmental data, this has not been researched and there are no corpora or evaluation datasets to fine-tune the models. This…
Computer Science (2 works) · Geography (2 works) · Business (1 work) · Data Management and Algorithms (1 work) · Data science (1 work) · Ecology (1 work) · Economics (1 work) · Ecosystem (1 work) · Ecosystem services (1 work) · Environmental planning (1 work)