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Published in: Business & Information Systems Engineering 4/2018

01-09-2017 | Research Paper

Standard International Trade Classification

From Spreadsheet to OWL-2 Ontology

Authors: Prof. Dr. Norbert Luttenberger, Dr. Jesper Zedlitz

Published in: Business & Information Systems Engineering | Issue 4/2018

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Abstract

Trade classifications are a necessary prerequisite for the compilation of trade statistics, and they should – beyond that – be regarded as a valuable base for the definition of shared controlled vocabularies for linked business data that deal with import, export etc. The Standard International Trade Classification (SITC) provided by the UN Statistics Division is a widely used classification mostly applied for scientific and analytical purposes. SITC – as most other trade classifications – is available today only in text or spreadsheet formats. These formats reveal the inner hierarchical structure of SITC to the human reader, because SITC trade codes are built according to the decimal classification scheme, but unfortunately, SITC’s inner structure is opaque to computer applications in text and spreadsheet formats. The paper discusses an approach to set up an OWL-2 ontology for SITC that states subsumption relations between classes of goods. This kind of semantic underpinning of SITC is suited to ease both checking and extending SITC and to derive from it a shared controlled vocabulary for business linked data. Some problems of today’s SITC (among them missing inner nodes of the trade code hierarchy) are carefully discussed, and the paper motivates several decisions that were taken for ontology design. Finally, the study introduces the semantic reasoner as a tool for the (at least partial) automatic derivation of structural information for SITC from the trade code building rule. The paper reports on reasoner runtimes observed for different versions of the SITC ontology and for different versions of the Pellet reasoner.

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Metadata
Title
Standard International Trade Classification
From Spreadsheet to OWL-2 Ontology
Authors
Prof. Dr. Norbert Luttenberger
Dr. Jesper Zedlitz
Publication date
01-09-2017
Publisher
Springer Fachmedien Wiesbaden
Published in
Business & Information Systems Engineering / Issue 4/2018
Print ISSN: 2363-7005
Electronic ISSN: 1867-0202
DOI
https://doi.org/10.1007/s12599-017-0495-z

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