A Semantically-enabled Community Health Portal for Cancer Prevention and Control

We describe our semantically-enabled approach to integrate, visualize, and explore health data. The project was conducted in a trans-disciplinary setting with population and behavioral scientists, social network scientists, data analysts, and computer scientists focused on making complex health-related data available, accessible, and understandable. One of the primary goals was to allow policy makers to explore potential correlations between health-related policies and behavior change. Other goals focused on demonstrating the value of linking open data and semantic technologies for exploration of data by research and consumer audiences. The initial setting includes comparison of smoking prevalence with potentially related data including cigarette taxes, price per pack, and policies limiting smoking in workplaces, restaurants, and bars, as well as personal information including education levels, employment, and various health statistics. The collaborative process, semantic data platform, demonstrations, and benefits of Linked Data for consumer data portals are also discussed.

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The National Cancer Institute’s (NCI) PopSciGrid Community Health Portal is an evolving platform demonstrating how health behavior, policy, and demographic data can be integrated, visualized, and communicated to empower communities and support new avenues of research and policy for cancer prevention and control. As a proof of concept for cyber-enabled population health research, the PopSciGrid Portal is designed to encourage trans-disciplinary collaboration, data harmonization, and development of new computational methods for disparate health related data.

The Tetherless World Constellation's Health on the Web's primary goal is to explore the next generation web technology needed to improve health. Some current efforts focus on intelligent integration and access of health data, identifcation of data sets, linked data tools for health topics, responses to the President's Council of Advisors on Science and Technology report to the president on "Realizing the Full Potential of Health Information Technology to Improve Healthcare for Americans: The Path Forward", and consumer access and control of health data.

The LOGD project investigates the role of Semantic Web technologies, especially Linked Data, in producing, enhancing and utilizing government data published on Data.gov and other websites. Large portion of government data published on the Web are not necessarily ready for mashups. The Tetherless World Constellation (TWC) is now publishing over 8 billions RDF triples converted from hundreds of government-related datasets from Data.gov and other sources (e.g.

The Inference Web is a Semantic Web based knowledge provenance infrastructure that supports interoperable explanations of sources, assumptions, learned information, and answers as an enabler for trust.

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