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Transcript
Harnessing the Semantic Web to Answer Scientific Questions: A Health Care and Life Sciences Interest Group demo Agenda • Health Care and Life Sciences Interest Group • Scientific Use Case • Technological Approach • Demo • Benefits of the Semantic web Health Care & Life Sciences Interest Group HCLSIG is chartered to develop and support the use of Semantic Web technologies and practices to improve collaboration, research and development, and innovation adoption in the of Health Care and Life Science domains More details on HCLS are available at: http://www.w3.org/2001/sw/hcls/ Scientific Use Case • Use case focuses on Alzheimer’s Disease (AD) • AD is a devastating illness that impacts x million people worldwide • Incidence of AD is increasing at x % • Many different and conflicting hypotheses about AD • The demo evaluates competing hypotheses using publicly available scientific data Scientific Data Sets • Integration and analysis of x heterogeneous data sets • Hypothesis, Genome, Pathways, Disease, etc. Picture of linked data sets goes here… Technological Approach • Convert data to RDF and manage in triple store • Maintain data in original data store and map to RDF • All bio-entities were assigned URIs • Careful modeling to integrate data sources • Query data with SPARQL and x AD Hypotheses The scientific hypotheses that we explored were: xxx xxx xxx xxx Benefits of the Semantic Web • Integration of heterogeneous data • Annotation of data • Hierarchical data representation • Easier re-use / recombination of data • Machine processable approach • Enables advanced inferencing • Inconsistencies can be identified Conclusions • Semantic Web provides ability to query across many disparate data sources to discover new insights • Identifies patterns and insights across many data sources - no longer possible with brain power alone • Data needs to be carefully modeled - It’s not magic! • Flexible re-use of data, which is important in a discipline where knowledge is frequently updated
