Köhn, Dagmar and Maus, Carsten and Henkel, Ron and Kolbe, Martin (2009) Towards Enhanced Retrieval of Biological Models through Annotation-Based Ranking. In: 6th International Workshop on Data Integration in Life Science (DILS 2009), July 20-22, Manchester, UK. Proceedings,, pp. 204-219.
Full text not available from this repository.Abstract
Modelling and simulation methods gain increasing importance for the understanding of biological systems. The growing number of available computational models makes support in maintenance and retrieval of those models essential to the community. This article discusses which model information are helpful for efficient retrieval and how existing similarity measures and ranking techniques can be used to enhance the retrieval process, i. e. the model reuse. With the development of new tools and modelling formalisms, there also is an increasing demand for performing search independent of the models’ encoding. Therefore, the presented approach is not restricted to certain model storage formats. Instead, the model meta-information is used for retrieval and ranking of the search result. Meta-information include general information about the model, its encoded species and reactions, but also information about the model behaviour and related simulation experiment descriptions.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Projects: | GRK dIEM oSiRiS, DiErMoSiS |
