A Hybrid Syntactic and Semantic Approach to Service Identification in Collaborative Networks - Risks and Resilience of Collaborative Networks Access content directly
Conference Papers Year : 2015

A Hybrid Syntactic and Semantic Approach to Service Identification in Collaborative Networks

Abstract

In this paper a semi-automated approach for service identification, considering the requirements of partners in a collaborative network is presented. The requirements meeting the business goals are further applied as a means for building the business process to-be model. Approach begins with process and goal combination and maps action rules to tasks for specific resources for fill the gap between goal model and business model representations. Semantic analysis based on extraction of resource relations and their similarity is second part of main method to service identification. A correlation matrix from extracted weighted task’s relations is used as an input of space vector machine. Semantic clustering of pre-processed vector is used for identify partner’s services.
Fichier principal
Vignette du fichier
370605_1_En_61_Chapter.pdf (313.19 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01437932 , version 1 (17-01-2017)

Licence

Attribution

Identifiers

Cite

Ehsan Alirezaei, Saeed Parsa. A Hybrid Syntactic and Semantic Approach to Service Identification in Collaborative Networks. 16th Working Conference on Virtual Enterprises (PROVE), Oct 2015, Albi, France. pp.652-659, ⟨10.1007/978-3-319-24141-8_61⟩. ⟨hal-01437932⟩
276 View
109 Download

Altmetric

Share

Gmail Facebook X LinkedIn More