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Semantic Web-Based Information Systems: State-of-the-Art ...

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Semant c E-Bus ness<br />

The following sections provide a detailed discussion <strong>of</strong> <strong>the</strong>se foundations upon which<br />

<strong>Semantic</strong> e-business is envisioned. We provide some directions, from our own research<br />

initiatives and that <strong>of</strong> o<strong>the</strong>rs, leading towards making <strong>the</strong> semantic e-business vision<br />

a reality. Interest in semantic e-business in <strong>the</strong> information systems community is<br />

beginning to ga<strong>the</strong>r momentum through <strong>the</strong> formation <strong>of</strong> special interest groups in<br />

<strong>the</strong> research and practitioner communities. We provide a description <strong>of</strong> some <strong>of</strong> <strong>the</strong><br />

organizations that are playing an important role in this. This chapter concludes with<br />

a summary and directions for future research in semantic e-business.<br />

<strong>Semantic</strong>.<strong>Web</strong>.Technologies<br />

Foundations<br />

The <strong>Semantic</strong> <strong>Web</strong> is an extension <strong>of</strong> <strong>the</strong> current <strong>Web</strong> in which information is<br />

given “well-defined meaning” to allow machines to “process and understand” <strong>the</strong><br />

information presented to <strong>the</strong>m (Berners-Lee et al., 2001).<br />

According to Berners-Lee et al. (2001), <strong>the</strong> “<strong>Semantic</strong> <strong>Web</strong>” comprises and requires<br />

<strong>the</strong> following components in order to function:<br />

• Knowledge.representation: Structured collections <strong>of</strong> information and sets <strong>of</strong><br />

inference rules that can be used to conduct automated reasoning. Knowledge<br />

representations must be linked into a single system.<br />

• Ontologies:.<strong>Systems</strong> must have a way to discover common meanings for<br />

entity representations. In philosophy, ontology is a <strong>the</strong>ory about <strong>the</strong> nature <strong>of</strong><br />

existence; in systems, ontology is a document that formally describes classes<br />

<strong>of</strong> objects and defines <strong>the</strong> relationship among <strong>the</strong>m. In addition, we need ways<br />

to interpret ontology.<br />

• Agents: Programs that collect content from diverse sources and exchange<br />

<strong>the</strong> result with o<strong>the</strong>r programs. Agents exchange “data enriched with semantics.”<br />

Intelligent s<strong>of</strong>tware agents can reach a shared understanding by exchanging ontologies<br />

that provide <strong>the</strong> vocabulary needed for discussion. Agents can even bootstrap<br />

new reasoning capabilities when <strong>the</strong>y discover new ontologies. <strong>Semantic</strong>s makes it<br />

easier to take advantage <strong>of</strong> a service that only partially matches a request.<br />

Copyright © 2007, Idea Group Inc. Copying or distributing in print or electronic forms without written permission<br />

<strong>of</strong> Idea Group Inc. is prohibited.

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