Research Issues in Electronic Commerce

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Presentation transcript:

Research Issues in Electronic Commerce Arthur M. Keller Stanford University Computer Science Dept. keller@cs.stanford.edu

Mismatch 1: Catalog Heterogeneity Different catalogs use different structures, different terminology and encoding. Some translations can be exact, some are inexact approximations.

Mismatch 2: Transaction Paradigm Databases interactions are “stateful” while web interactions are “stateless.” Traditional database transactions are short, while web interactions last a while before commit or timeout.

Mismatch 3: Free vs. paid sources Some sources are free, some charge fees. Sources vary in quality, response rate, and “Internet distance” from query engine.

Research Issue 1: Heterogeneity Managing multiple representations to avoid data loss through multiple translations. Automatic translation: specification, processing, and timing. Intermediate representations that are efficient but do not lose information.

Research Issue 2: Transaction Processing Quick response requirement. Source data widely dispersed. Support for multiple web servers. Transaction timeout. Intermittent interaction. Locking paradigms. Maintenance of derived data. Reservations of resources.

Research Issue 3: Distributed Optimization. Optimization for: Response time. Resource usage. Recency or quality of answer. Costs charged by sources. Allocation of costs to queries. Costs vs. pricing.

Other research issues Executable ontologies defining e-commerce domains. Extraction of structured data from unstructured sources. Combined structured and non-structured search. Secure distributed transactions over unsecure channels.

More Research Issues Ordering of results. Which sources to use. Handling source access timeout. Better paradigms for describing and specifying heterogeneity and translations. Modeling and monitoring performance and behavior of distributed systems.