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Toward a Crowdsourcing Platform for Knowledge Base Construction

Authors:
Kazuhiro Kuwabara
Naoki Ohta

Keywords: crowdsourcing; linked data; ontology; knowledge base; e-learning.

Abstract:
This paper proposes an approach to construct a knowledge base using crowdsourcing where the knowledge base is represented as linked data. With the crowdsourcing concept, the contents of a knowledge base are accumulated. We represent the process of knowledge base construction as a workflow. The ontology of the knowledge base's target domain is utilized in creating and executing workflows. Applications to the construction of knowledge bases in the domains of e-learning content and multilingual frequently asked questions (FAQs) are described as examples. We discuss our proposed approach from the viewpoint of a crowdsourcing platform that facilitates the use of the crowdsourcing concept to construct a knowledge base, and show how the domain ontology can be made use of.

Pages: 89 to 92

Copyright: Copyright (c) IARIA, 2014

Publication date: March 23, 2014

Published in: conference

ISSN: 2308-4375

ISBN: 978-1-61208-329-2

Location: Barcelona, Spain

Dates: from March 23, 2014 to March 27, 2014