Abstract
Providing various e-services on the Internet by enterprises is an important trend in e-business. Composite e-services, which consist of various e-services provided by different e-service providers, are complex processes that require the cooperation among cross-organizational e-service providers. The flexibility and success of e-business depend on effective knowledge support to access related information resources of composite e-services. Thus, providing effective knowledge support for accessing composite e-services is a challenging task. This work proposes a knowledge map platform to provide an effective knowledge support for utilizing composite e-services. A data mining approach is applied to extract knowledge patterns from the usage records of composite e-services. Based on the mining result, topic maps are employed to construct the knowledge map. Meanwhile, the proposed knowledge map is integrated with recommendation capability to generate recommendations for composite e-services via data mining and collaborative filtering techniques. A prototype system is implemented to demonstrate the proposed platform. The proposed knowledge map enhanced with recommendation capability can provide users customized decision support to effectively utilize composite e-services.
| Original language | English |
|---|---|
| Pages (from-to) | 700-716 |
| Number of pages | 17 |
| Journal | Expert Systems with Applications |
| Volume | 34 |
| Issue number | 1 |
| DOIs | |
| State | Published - 1 Jan 2008 |
Keywords
- Composite e-service
- Data mining
- Knowledge maps
- Recommendation
- Topic maps