Making Easy Things Easy and Lowering the Barrier to Entry in caBIG with Semantic Web Technologies




I will describe how the NCI Semantic Infrastructure 2.0 lowers the barrier to entry for the Cancer Biomedical Informatics Grid (caBIG) by supporting a "linear value proposition" which accommodates to a wide spectrum of interoperability needs and deployment contexts, essentially "making easy things easy". I will present the Enterprise Conformance and Compliance Framework in this context, and describe the beginning part of the value curve enabling participation in caBIG to be as easy as possible, and at the same time, offering incremental return and guidance from tooling to move up the value curve in computable semantic interoperability. I will describe use of community ontologies for informational semantics, and use of WSDL/WADL for behavioral semantics, and our recent collaboration with Eric Prud'hommeaux from the W3C Semantic Web Health Care and Life Sciences (HCLS) Interest Group, on semantic workflow composition using WSDL and pre- and post-conditions and RDF / SPARQL reasoning. I will also mention support of ontologies in the Semantic Infrastructure 2.0, support of transformation between UML 2, HL7 MIF, and OWL ontology using the Eclipse Modeling Framework (EMF), and the use of OWL reasoning for quality checking in models derived from domain analysis models (DAMs) such as BRIDG.



David Hau is the Acting Director of Semantic Infrastructure at the Center for Biomedical Informatics and Information Technology (CBIIT) at National Cancer Institute (NCI). In this role, he is the government sponsor for the "Semantic Infrastructure 2.0" project at NCI, redesigning the semantic strategy and framework to support the Semantically Aware Service Oriented Architecture (sSOA) at NCI, and to align with the center's mission of enabling a "Learning Healthcare System" to realize Personalized Medicine. David has over 10 years of experience in software development and project management. Prior to joining NCI, David spent six years working at various startups and established companies in Silicon Valley, on software development projects ranging from handheld prescription to chronic disease management to mail server and storage area network (SAN) management. David holds an MD from Johns Hopkins Medical School, an MS in computer science and a BS in electrical engineering from MIT, and completed his internship in internal medicine at Indiana University School of Medicine. His thesis project at MIT was completed at Hewlett-Packard Laboratories in Bristol, UK under the MIT VI-A Internship Program, on machine learning of qualitative cardiovascular models from patient monitoring signals, and was among the chosen theses presented at the EECS MasterWorks Colloquium at MIT that year.  David is NCI's representative to the Advisory Committee at W3C, where he actively seeks to consume W3C standards in NCI projects, and to use NCI's experience to inform and contribute back to the standards development effort at W3C.