Recent events like the COVID-19 pandemic are driving organizations to digitize their businesses, and in turn, data integration has grown in importance with data professionals struggling to use existing technologies to keep-up. In the latest edition of their best-selling book, “Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL,” authors Dean Allemang and Jim Hendler share their insights into the latest developments and best practices for constructing useful and reusable semantic models necessary for modern data integration of complex and diverse data.
Fireside Chat with Dean Allemang and Jim Hendler, Authors of “Semantic Web for the Working Ontologist”C T2023-02-12T05:22:47-05:00
Evidence Matters is a virtual one-day summit that brings the literature review community together from different industries to learn, engage, and solve ever-pressing evidence-based research challenges.
Join experts from PHAR, Novartis, and Bausch Health for a discussion around the Delphi panels and how the results are used.
Experts will present opportunities for using agile platforms and fit-for-purpose engagement models that can drive an iterative approach to obtaining payer insights and developing impactful evidence generation strategies.