Knowledge network of scientific claims derived from a semantic publication system¹

Issue title: 16th International Conference on Electronic Publishing – ELPUB 2012 – Social Shaping of Digital Publishing: Exploring the Interplay between Culture and Technology

Guest editors: Ana BaptistaGuest Editor, Peter LindeGuest Editor, Niklas LavessonGuest Editor and Miguel A. BritoGuest Editor

Article type: Research Article

Authors: Marcondes, Carlos Henrique^{; *}

Affiliations: Department of Information Science, University Federal Fluminense, Rio de Janeiro, Brazil

Correspondence: [*] Address for correspondence: Carlos Henrique Marcondes, Department of Information Science, University Federal Fluminense, R. Lara Vilela, 126, 24210-590, Niterói, Rio de Janeiro, Brazil. Tel.: +55 21 26299758; E-mail: marcon@vm.uff.br.

Note: [1] Paper also published in the Proceedings of the 16th International Conference on Electronic Publishing, ISBN 978-1-61499-064-2.

Abstract: Currently, the conventional communication channel for reporting scientific results is Web electronic publishing of scientific articles in paper print formats, such as PDFs. The emergence of the Semantic Web and Linked Data environment provides new opportunities for communicating, sharing and integrating scientific knowledge in digital formats that could overcome the limitations of the current print format, which is only suitable for reading by people. The results of scientific research can be published electronically and shared in structured, interlinked formats. This integrated knowledge network could be crawled by software agents, thereby facilitating semantic retrieval, knowledge reuse, validation of scientific results, identification of traces of scientific discoveries, new scientific insights and identification of knowledge contradictions or inconsistencies. This paper explores the possibilities of this new environment for scientific publishing and reports the implementation of a prototype semantic publishing system, which publishes scientific articles in a paper print format and publishes the claims made in the conclusions of each article as structured triples using the Resource Description Framework format.

Keywords: Semantic publishing, Semantic Web, Linked Data, knowledge networks, knowledge representation, terminological knowledge bases, e-science

DOI: 10.3233/ISU-2012-0646

Journal: Information Services & Use, vol. 31, no. 3-4, pp. 167-176, 2011