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Innovation and Ontologies

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148 Deployment in Business<br />

2.1.4 Evaluation<br />

The three enterprise ontologies each provide a framework for modeling an (e-) business activity.<br />

Mainly driven by research, they are seminal contributions to the community; unfortunately, there<br />

is no data available on their actual application by companies.<br />

2.2 E-Business (B2B) <strong>Ontologies</strong><br />

[…] B2B markets have not reached a conseus on coding systems, […],<br />

‘which is an obstacle for the interoperability of applications<br />

following different st<strong>and</strong>ards. (Gómez-Pérez, Fernández-López & Corcho, 2004)<br />

The popularity of the World Wide Web <strong>and</strong> the corresponding growth of new web-based<br />

technologies have entailed the creation of many e-commerce applications (Fensel, 2001). In the<br />

context of e-commerce, particularly for business to business exchange (B2B), effective<br />

communication between machines is a key factor. Consequently, a number of st<strong>and</strong>ard setting<br />

efforts have evolved to ease information exchange by frameworks. Codified with different<br />

computation languages <strong>and</strong> formats <strong>and</strong> agreed by a wide group of institutions, they provide<br />

consensus <strong>and</strong> top-level terms to classify products <strong>and</strong> services. As they merely consist of<br />

concept taxonomies <strong>and</strong> some relations, they are considered lightweight ontologies 174 (Gómez-<br />

Pérez, Fernández-López & Corcho, 2004).<br />

The first subsection of this part provides information about the term Semantic Web (cf. 2.2.1). Its<br />

functionalities form the heart of the subsequently described e-commerce applications. Then the<br />

section strives to provide a bird’s eye perspective on four widely accepted proposals of e-business<br />

ontologies: first, two systems are introduced which rely on a numeric classification (cf. 2.2.2). Ecl@ss,<br />

though equally based on numbers, is treated separately in 2.2.3. It particularly addresses<br />

the B2B relation of supplier <strong>and</strong> customer. The last example, Rosetta Net, is outst<strong>and</strong>ing by being<br />

a self-funded industry effort <strong>and</strong> bein based on term names instead of numbers (cf. 2.2.4). The<br />

subsection 2.2.5 concludes with a short evaluation of the described classifications.<br />

2.2.1 Semantic Web<br />

One of the driving forces for recent ontology research is the so-called Semantic Web proposed by<br />

Berners-Lee, the ‘godfather’ of today’s World Wide Web (Berners-Lee, Hendler & Lassila, 2001;<br />

Shadbolt, Berners-Lee & Hall, 2006). For the past years, information on this World Wide Web<br />

has mainly been intended for direct human consumption. With time, it has become necessary to<br />

facilitate new intelligent applications like meaning-based search, information brokering, <strong>and</strong> B2B<br />

transactions which are also accessible for machines (Klein et al., 2002).<br />

174<br />

For the distinction among lightweight <strong>and</strong> heavyweight ontologies, cf. 5.4.4. Heavyweight ontologies encompass, besides classes <strong>and</strong> relations,<br />

also rules <strong>and</strong> axioms.

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