Study Supreme Court Decision Making with Linked Data

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Citation: Li, X., Ding, L., and Hendler, J. 2010. Study Supreme Court Decision Making with Linked Data. In .

Presented at the Web Science is concerned with the full scope of socio-technical relationships that are implicated in the World Wide Web, and is thus inherently interdisciplinary. It is based on the notion that understanding the Web involves not only an analysis of its architecture and applications, but also insight into the people, organizations, policies, and economics that are affected by and subsumed within it. This conference embraces physical and social science drawing on computer and engineering sciences, sociology, economics, political science, law, management geography and psychology. Web Science 2010 brings these disciplines together in creative and critical dialogue and crosses traditional disciplinary boundaries. Web Science Conference 2010 2010-04-27T17:00:00 2010-04-26T07:00:00 Raleigh, North Carolina


Current social science researchers depend heavily on data to perform analytical studies. The multitude of problems studied by researchers today is so pervasive that it is difficult for scholars to collect needed information independently, format it in an easily processable way, check the accuracy of that information, and publish and maintain it in a reusable form. Moreover, as the complexity of analytic problems grows, data from different sources are needed to provide multiple perspectives to gain insights into the problems being studied.

In this paper, we show how linked data and other Semantic Web technologies can enhance the study of U.S. Supreme Court justices’ decision-making. We first describe challenges in current Supreme Court judicial research. Then the linked data technology is introduced, followed by how it addresses those challenges. Last, by illustrating our method with several examples, we demonstrate the advantages of this approach and identify future work.


DateCreated ByLink
September 23, 2013
Patrick WestDownload