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Data-Mining: Assoziations-Algorithmen und die Auswirkungen auf generierte Regeln im Bereich der Biodiversität- Disambiguation of Ontological Concepts for Semantic Dataset Annotation
- Exploratory Semantic Dataset Search (taken)
- Reproducibility of Machine Learning Experiments given the provenance data (taken)
- Tracking Provenance in Machine Learning Scripts (taken)
Exploratory Semantic Dataset Search (taken)
| Title: | Exploratory Semantic Dataset Search (taken) |
|---|---|
| Author(s): | Davood Hadiannejad |
| Supervisor(s): | Felicitas Löffler, Prof. Dr. Birgitta König-Ries |
| School: | Friedrich-Schiller-Universität Jena |
| Thesis Type: | Master Thesis |
| Date: | 2021-05-01 |
| Abstract: | Exploratory Search Approaches go beyond the classical keyword search and allow users to search for relevant data interactively by using different filters or additional incorporated sources. Given is a semantic search over biological (meta) data with search results including ontological concepts, e.g., Schima Superba (a subtropical tree in China) is linked to the NCBITAXON ontology, ID:59677 Based on this information the task is to develop and implement a concept how additional external sources could be integrated and how this additional information could be presented in search. How users can interact with these sources? For example, at EOL (https://eol.org/) there is an entry for Schima Superba with further information. How to incorporate and present that information to users in search? The developed solution is supposed to be evaluated with users. The supervisor will give support in the selection of additional sources. The thesis can be written in German or English. |