Linking Open Data in Biology using Ontologies and Literature Mining

Abstract:

Linked Open Data is gaining importance in the biomedical research community. The main reason lies in the fact that data integration using open data repositories in standard formats is supported by the explicit semantic representation in these resources. In addition, the data resources profit from the use of ontological resources and special inference technologies for the retrievel of novel information. In the tutorial we will explain the use of ontologies and semantic Web technology for the integration of biological data from different data resources including the scientific literature.

Day 1:

• What is Linked Open Data?
• Ontologies: typology, generation, use
• Standardisation of assertions in a triple store

Day 2:

• Extraction of features and facts from the literature
• Data integration between biomedical data resources and literature
• Selected examples of data integration