SimCat is a project at the Institute for Geoinformatics, University of Münster. It is funded by the German Research Foundation (DFG) under the full title Semantic Similarity Measurement for Role-Governed Geospatial Categories. The research with in SimCat includes the following topics:
Semantic similarity (and)
Concepts evolve over time and therefore also their similarity.
As Goodman puts it, there is no meaning of similarity without defining its respects.
- Goals / Affordances:
Beside context, the goals and abilities of the user have influence on similarity.
- Structured Representation:
Concepts are not bags of features, but have a structure that influences similarity.
- Representation Extraction:
How to extract dimensions for geometric similarity approaches out of databases?
- As Compromise:
The role of similarity in decision support systems involving several users.
Levels of abstractions and their influence on similarity.
- Description Logics:
How to measure similarity between DL-concepts.
- Activation/Artificial Neural Networks:
Can we use neural networks as activation & alignment structures for similairty?