Abstract
We describe selected work conducted by Rensselaer Polytechnic Institute’s Web Science Research Center (RPI WSRC) aimed at building web observatories. Specifically, we discuss the research center’s best practices for building semantic-enabled technologies and automated processes to discover, collect, analyze, and interpret large amounts of data. To illustrate this, we present two toolsets, built to address issues of data collection and management within our Health and Life Sciences Web Observatory and Social Spaces Web Observatory.;
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