Featuring aspect of a mobile multichannel environment is that users want to be able to obtain e-Services in any context in which they can operate and always with the best possible performances. Therefore, a .exible and adaptive e-Service delivery approach is essential to cope with possible limitations imposed by changes in the context (i.e., user pro.le, geographical location, available channels and usable devices). In particular, an effective dynamic delivery of services requires the capability of discovering groups of services, which can substitute each other, with similarity properties based on their functionalities and quality factors. In this framework, a relevant role is thus assumed by methods and tools for the classi.cation of services by considering offered functionalities and reference quality parameters. In this paper, we present an ontology-based approach and classi.cation techniques based on the analysis of e-Service descriptions, for both functional and non functional aspects, and we discuss how they support e-Service discovery.

E-Service classification techniques to support discovery in a mobile multichannel environment

BIANCHINI, Devis;DE ANTONELLIS, Valeria;MELCHIORI, Michele
2004

Abstract

Featuring aspect of a mobile multichannel environment is that users want to be able to obtain e-Services in any context in which they can operate and always with the best possible performances. Therefore, a .exible and adaptive e-Service delivery approach is essential to cope with possible limitations imposed by changes in the context (i.e., user pro.le, geographical location, available channels and usable devices). In particular, an effective dynamic delivery of services requires the capability of discovering groups of services, which can substitute each other, with similarity properties based on their functionalities and quality factors. In this framework, a relevant role is thus assumed by methods and tools for the classi.cation of services by considering offered functionalities and reference quality parameters. In this paper, we present an ontology-based approach and classi.cation techniques based on the analysis of e-Service descriptions, for both functional and non functional aspects, and we discuss how they support e-Service discovery.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/10695
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? 0
social impact