A Case Study for Integrating Public Safety Data Using Semantic Technologies

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Authors:Alvaro Graves


Information about public safety has become critical for government organizations, non-government organizations and citizens in general. It enables informed decisions to be made by individuals, as well as guides the creation of public policies. As with many domains, information on public safety is usually spread across different organizations, described in different formats and published at different levels of granularity and richness. In this paper, we present work done on a web-based portal that aggregates and displays public safety information for the city of Troy, New York. This portal shows how the use of semantic technologies facilitates the integration of multiple data sources with disparate characteristics. The portal demonstrates two types of functionality: First, it shows different examples of integration of public safety information through a variety of examples and visualizations. Second, it acts as a source of semantified data that third-party developers can use in their own applications.

Related Research Areas:

Data Science
Lead Professor: Peter Fox
Description: Science has fully entered a new mode of operation. Data science is advancing inductive conduct of science driven by the greater volumes, complexity and heterogeneity of data being made available over the Internet. Data science combines of aspects of data management, library science, computer science, and physical science using supporting cyberinfrastructure and information technology. As such it is changing the way all of these disciplines do both their individual and collaborative work.

Data science is helping scienists face new global problems of a magnitude, complexity and interdisciplinary nature whose progress is presently limited by lack of available tools and a fully trained and agile workforce.

At present, there is a lack formal training in the key cognitive and skill areas that would enable graduates to become key participants in escience collaborations. The need is to teach key methodologies in application areas based on real research experience and build a skill-set.

At the heart of this new way of doing science, especially experimental and observational science but also increasingly computational science, is the generation of data.

Web Science
Lead Professor: Jim Hendler, Deborah L. McGuinness
Description: Web Science is the study of the World Wide Web and its impact on both society and technology, positioning the Web as an object of scientific study unto itself. Web Science recognizes the Web as a transformational, disruptive technology; its practitioners study the Web, its components, facets and characteristics. Ultimately, Web Science is about understanding the Web and anticipating how it might evolve in the future.
Concepts: Semantic Web