Measuring the Quality of Descriptive Languages for Products and Services

Proc. of the Multi-Konferenz Wirtschaftsinformatik 2004, Essen/Germany Working Paper No. 1/2004

12 Pages Posted: 18 Feb 2004

See all articles by Martin F. Hepp

Martin F. Hepp

Universitaet der Bundeswehr Munich

Abstract

Standardized product classification systems play a major role for automated business transactions. They are not only a coding scheme that eases catalog data integration, but can act as descriptive languages for products and services, supporting a multiplicity of future e-business scenarios. Even though prominent approaches like eCl@ss and eOTD are built around a hierarchical order of product and service categories, this is not a compulsory property. The key functionality is the representation of business meanings (e.g. a product or service) in an unambiguous, machine processable manner. Currently, the most popular architecture for such descriptive languages is the combination of three components: classes, an attribute library, and class-specific attribute lists, which consist of references to characteristic attributes for the respective class. The development and maintenance of the respective attribute lists is a major challenge, as this requires comprehensive domain knowledge about the respective goods. Eventually, the quality and usefulness of the descriptive language is determined by the quality of its attribute lists. This paper proposes metrics that help measure the quality of and the progress in the development of descriptive languages for products and services.

Keywords: Product classification, eCl@ss, eOTD, UNSPSC, attribute lists

Keywords: Product classification, eCl@ss, eOTD, UNSPSC, attribute lists, Semantic Web, Ontologies, Content Quality

JEL Classification: Z00, L15

Suggested Citation

Hepp, Martin F., Measuring the Quality of Descriptive Languages for Products and Services. Proc. of the Multi-Konferenz Wirtschaftsinformatik 2004, Essen/Germany Working Paper No. 1/2004, Available at SSRN: https://ssrn.com/abstract=503602 or http://dx.doi.org/10.2139/ssrn.503602

Martin F. Hepp (Contact Author)

Universitaet der Bundeswehr Munich ( email )

WOW 3.5
Werner-Heisenberg-Weg 39
Neubiberg, 85577
Germany
+49-89-6004-4217 (Phone)

HOME PAGE: http://www.heppnetz.de

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
704
Abstract Views
5,365
rank
43,327
PlumX Metrics