Peripleo: a tool for exploring heterogenous data through the dimensions of space and time

Abstract

This article introduces Peripleo, a prototype spatiotemporal search and visualization tool. Peripleo enables users to explore the geographic, temporal and thematic composition of distributed digital collections in their entirety, and then to progressively filter and drill down to explore individual records. We provide an overview of Peripleo's features, and present the underlying technical architecture. Furthermore, we discuss how datasets that differ vastly in terms of size, content type and theme can be made uniformly accessible through a set of lightweight metadata conventions we term “connectivity through common references”. Our current demo installation links approximately half a million records from 25 datasets. These datasets originate from a spectrum of sources, ranging from the small personal photo collection with 35 records, to the large institutional database with 134.000 objects. The product of research in the Andrew W. Mellon-funded Pelagios 3 project, Peripleo is Open Source software.