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Titlebook: E-Commerce and Web Technologies; 6th International Co Kurt Bauknecht,Birgit Pr?ll,Hannes Werthner Conference proceedings 2005 Springer-Verl

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樓主: arouse
51#
發(fā)表于 2025-3-30 09:22:06 | 只看該作者
52#
發(fā)表于 2025-3-30 14:43:13 | 只看該作者
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發(fā)表于 2025-3-30 22:02:56 | 只看該作者
55#
發(fā)表于 2025-3-31 04:15:45 | 只看該作者
Conceptual and Formal Ontology Model of e-Catalogsn logic representation for each construct. We also consider the modeling language to be reasonably practical with regard to its expressiveness and complexity. We illustrate sample e-Catalog modeling scenarios to demonstrate the practical feasibility of our modeling approach.
56#
發(fā)表于 2025-3-31 08:54:58 | 只看該作者
Automatic Ontology Mapping for Agent Communication in an e-Commerce Environmentapped ontologies describe the same conceptualization through a set of rules that join related concepts. We deployed the proposed approach in a prototype system that currently is employed for large scale experiments. A simple experiment with a case study domain has shown a good correspondence with hu
57#
發(fā)表于 2025-3-31 11:55:22 | 只看該作者
58#
發(fā)表于 2025-3-31 15:37:12 | 只看該作者
Automated Negotiation Based on Contract Net and Petri Netng the trading partners and is much more difficult than traditional production networks. The objectives of this paper are to propose a framework to model the negotiation processes in contract manufacturing, analyze the feasibility of the contracts and optimize contract awarding based on the proposed
59#
發(fā)表于 2025-3-31 19:27:47 | 只看該作者
E-Business Perceptions Versus Reality: A Longitudinal Analysis of Corporate Websitesctors; the rate of innovation and change does not reflect constant improvement but in some cases exhibits degraded web-capabilities over time; and that the major challenges constraining further development may be more managerial than technical.
60#
發(fā)表于 2025-3-31 21:57:45 | 只看該作者
Knowledge Discovery in Web-Directories: Finding Term-Relations to Build a Business Ontologye excellent relevant and up-to-date knowledge source. In this paper, we focus our attention in building business ontologies. To do that we use news documents from business domains to get an up-to-date knowledge about a particular company. To extract this knowledge in the form of important “terms” re
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