TMO Review Jin Guang Zheng, Tetherless World Constellation

Outline TMO Recap –Overview –Motivation/Use Case –Contribution TMO Review –Pros –Cons,Questions Conclusion –Improvement –What I learn

Overview Problem –Translational medicine requires the integration of knowledge using heterogeneous data from health care to the life science. Translational Medicine Knowledge –answering questions relating to clinical practice and pharmaceutical drug discovery Translational Medicine Ontology –provides a foundation upon which chemical, genomic and proteomic data may be linked to disease, treatments and electronic health records

Motivation/Use Case Alzheimer's Disease –an incurable, degenerative, and terminal disease with few therapeutic options Goal –Answer questions about AD diagnosis and therapeutic options. Demonstration –The value of linked open data published using Semantic Web technologies

Contributions Translation Medicine Ontology –Provide a model that facilitates interoperability of data Translational Medicine Knowledge Base –Providing more personalized information for patient treatment Data Integration –enable data mining in a clinical setting to identify superior ecacy of certain drugs over others in specic sections of the population

TMO Review

Pros General Comment –Interesting and important contribution. –Use Case and SPARQL example helps a lot. Scientific quality of the work –Present sufficient detail allow the results to be repeated. (Use cases, sparql, data) Presentations –Well written, and easy to understand

Cons, Questions Ontology –Concept name: TMO_0063 (chemical substance) –ObjectProperty: IAO_ Provenance –Is provenance part of this work? Privacy –How does this work support privacy?

Conclusion Improvement –Use Better Name Scheme –Describe how privacy can be done using the ontology What I Learn –Reviewing Process Experience, Review questions –Translational Medicine Ontology The purpose, Concepts, Usage

Questions Thank you for your attention!