Abstract. Ontologies are heavily developed and used in life sciences and undergo continuous changes. However, the evolution of life science ontologies and references to them (e.g.,...
We propose a novel semi-supervised clustering method for the task of gene regulatory module discovery. The technique uses data on dna binding as prior knowledge to guide the proces...
In this presentation, we review some examples of successful biomedical data integration projects in which ontologies play an important role, including the integration of genomic da...
The open, decentralized nature of the Semantic Web demands fundamental changes in our approach to ontology development and deployment. To maximize the expressiveness and robustnes...
Xiaoshu Wang, Jonas S. Almeida, Arlindo L. Oliveir...
With over 80 file formats to represent various chemical attributes, the conversion between one format and another is invariably lossy due to informal specifications. In contrast, t...
Mykola Konyk, Alexander De Leon Battista, Michel D...
It is not always clear how best to represent integrated data sets, and which application and database features allow a scientist to take best advantage of data coming from various ...
Joanna Jakubowska, Ela Hunt, John McClure, Matthew...
This paper concerns the research topic of data integration in the life sciences. The paper presents no technical results, but rather provides a classification of research activitie...