完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Liu, Duen-Ren | en_US |
dc.contributor.author | Ke, Chih-Kun | en_US |
dc.contributor.author | Lee, Jia-Yuan | en_US |
dc.contributor.author | Lee, Chun-Feng | en_US |
dc.date.accessioned | 2014-12-08T15:12:47Z | - |
dc.date.available | 2014-12-08T15:12:47Z | - |
dc.date.issued | 2008-01-01 | en_US |
dc.identifier.issn | 0957-4174 | en_US |
dc.identifier.uri | http://dx.doi.org/10.1016/j.eswa.2006.10.005 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/9850 | - |
dc.description.abstract | Providing various c-services on the Internet by enterprises is an important trend in c-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. (c) 2006 Elsevier Ltd. All rights reserved. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | composite e-service | en_US |
dc.subject | knowledge maps | en_US |
dc.subject | topic maps | en_US |
dc.subject | data mining | en_US |
dc.subject | recommendation | en_US |
dc.title | Knowledge maps for composite e-services: A mining-based system platform coupling with recommendations | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1016/j.eswa.2006.10.005 | en_US |
dc.identifier.journal | EXPERT SYSTEMS WITH APPLICATIONS | en_US |
dc.citation.volume | 34 | en_US |
dc.citation.issue | 1 | en_US |
dc.citation.spage | 700 | en_US |
dc.citation.epage | 716 | en_US |
dc.contributor.department | 資訊管理與財務金融系 註:原資管所+財金所 | zh_TW |
dc.contributor.department | Department of Information Management and Finance | en_US |
dc.identifier.wosnumber | WOS:000250295300072 | - |
dc.citation.woscount | 16 | - |
顯示於類別: | 期刊論文 |