Integrating phenotype ontologies with PhenomeNET

Integrating phenotype ontologies with PhenomeNET

BACKGROUND Integration and analysis of phenotype data from humans and model organisms is a key challenge in building our understanding of normal biology and pathophysiology. However, the range of phenotypes and anatomical details being captured in clinical and model organism databases presents complex problems when attempting to match classes across species and across phenotypes as diverse as b...

Integrating Anatomy and Phenotype Ontologies with Taxonomic Hierarchies

Integrating Ontologies with CAR Mappings

CAR is a declarative language which can be used to map between different schemas in general and which allows the integration of ontologies in special. CAR provides mapping operators whose expressivity exceeds the possibilities of simple equivalence mappings by far. Due to the declarative nature of this approach, CAR which we implemented in a graphical mapping framework, offers a very user-frien...

Integrating Geoscience Ontologies with Dolce

Cross-disciplinary e-Science can be enabled by using foundational ontologies such as Dolce to integrate knowledge representations from different geoscience domains. G eoscientists are increasingly concerned with big problems related to climate change, natural hazards, and environmental health. In solving these problems, they're regularly encountering data and knowledge that are complex, diverse...

DOLCE ROCKS: Integrating Geoscience Ontologies with DOLCE

Conceptual representations are being developed within many geoscience domains to aid semantic-enabled scientific computing, e.g. geology, geophysics, hydrology, marine science, planetary science. These representations often make different ontological assumptions, causing their integration to be impeded. This is particularly problematic for science issues that involve crossdomain knowledge, such...