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ProdLight A Lightweight Ontology for Product Description Based on Datatype Properties
ProdLight: A Lightweight Ontology for Product
Description Based on Datatype Properties
Martin Hepp
Digital Enterprise Research Institute (DERI), University of Innsbruck
mhepp@
Abstract: Web pages representing offerings of products and services are a
major source of data for Semantic Web-based e-commerce. This data could be
useful for numerous applications, e.g. (1) more precise product search engines
and shopping bots, (2) aggregation or enrichment of multi-vendor catalogs
using public product descriptions, or (3) the automated discovery of additional
alternatives based on the combination of multiple items. While there are already
some ontologies for products and services available, they are very large in size
(20 – 70,000 classes), and thus not always suitable as ontology imports. In this
paper, we take a different approach: We represent the semantics of offerings on
the Web using a very lightweight ontology of datatype properties in
combination with popular classifications like UNSPSC and eCl@ss. We then
demonstrate how this representation can be mapped easily to comprehensive
ontologies for products and services like eClassOWL1. Our approach provides a
straightforward solution for annotating offerings on the Web while avoiding the
overhead of importing fully-fledged products and services ontologies in any
single annotation. We can show that our proposal has technical advantages and
eliminates legal problems when reusing existing standards.
1. Introduction
Web pages representing offerings of products and services are a major source
of data for Semantic Web-based e-commerce. This data covers technical and
commercial aspects and could be useful for numerous future applications.
Firstly, it could be used by novel product search engines and shopping bots
that identify suitable alternatives for a given need and a given set of
preferences. Secondly, the data could be used for assembling, augmenting, or
maintaining multi-vendor catalogues for
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