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Curating a Document Collection via Crowdsourcing with Pundit 2.0

  • Christian MorbidoniEmail author
  • Alessio Piccioli
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9341)

Abstract

Pundit 2.0 is a semantic web annotation system that supports users in creating structured data on top of web pages. Annotations in Pundit are RDF triples that users build starting from web page elements, as text or images. Annotations can be made public and developers can access and combine them into RDF knowledge graphs, while authorship of each triple is always retrievable. In this demo we showcase Pundit 2.0 and demonstrate how it can be used to enhance a digital library, by providing a data crowdsourcing platform. Pundit enables users to annotate different kind of entities and to contribute to the collaborative creation of a knowledge graph. This, in turn, refines in real-time the exploration functionalities of the library’s faceted search, providing an immediate added value out of the annotation effort. Ad-hoc configurations can be used to drive specific visualisations, like the timeline-map shown in this demo.

Keywords

Semantic annotation Linked data Faceted browsing Digital humanities Pundit 

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© Springer International Publishing Switzerland 2015

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Authors and Affiliations

  1. 1.Università Politecnica delle MarcheAnconaItaly
  2. 2.NET7 Internet Open SolutionsPisaItaly

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