Product schema integration in an agent-based electronic commerce system

• المؤلف الرئيسي: Yan, Guanghao
• مؤلفون آخرون: Ng, Wee Keong
• التنسيق: Theses and Dissertations
• منشور في: 2008
• الموضوعات: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• الوصول للمادة أونلاين: http://hdl.handle.net/10356/2548

The ABECOS (Agent-Based Electronic COmmerce System) project investigates issues in building an infrastructure for a large scale, distributed, agent-based electronic commerce system in which buyer and seller agents liaise with one another to facilitate electronic commerce transactions. In such a system, a buyer agent is interested in purchasing a product from one or more seller agents. However, the heterogeneity of product descriptions is an impediment to successful interactions among agents. Only when agents have a common ontology of product description structures (also called product schemas) are they able to engage correctly in electronic commerce activities. This gives rise to the problem of Product Schema Integration (PSI); to integrate heterogeneous schemas of a certain product type into one globally compatible schema. In this work, we address this problem in the context of the ABECOS system. We divide PSI into two sub-problems set schema integration and tree schema integration, and present a formal definition of each sub-problem and show that they are NP-complete. Then, we propose a set of approximation algorithms for PSI and evaluate their performance experimentally. In addition, we address issues in integrated schema maintenance andx