Title
Semantic model for knowledge representation in e-business
Abstract
Semantic knowledge representation is the key for the development of present intelligent systems. Furthermore, the Semantic Web provide a formal representation and knowledge-driven set of technologies to enable automation of business processes. Despite the new trends on business process automation based on semantic technologies and Web Services, a number of business processes still require human intervention. In this paper we address the problem of ontology-based process representation based on expert's knowledge, considering both tasks executed by means of web services and tasks executed by persons. In this way, fully-automated and semi-automated processes (guided by a person) could be represented and executed. The proposed model is based on the set of situations that can be identified by an expert in a given process and the actions required in each situation. For validating our approach, a sales supporting system based on the proposed architecture has been developed. The proof-of concept system has been running for a remarkably time, supporting the sales process for non-expert sellers.
Year
DOI
Venue
2011
10.1016/j.knosys.2010.09.006
Knowledge-Based Systems
Keywords
Field
DocType
present intelligent system,business process,semantic web,ontology-based process representation,sales process,knowledge representation,business process automation,web services,ontology,formal representation,semantic model,sales support,e -business,semantic knowledge representation,semi-automated process,e business,proof of concept,web service,semantic technologies
Artifact-centric business process model,Data mining,Knowledge representation and reasoning,Business process,Semantic Web Stack,Computer science,Semantic Web,Social Semantic Web,Business process modeling,Business Process Model and Notation
Journal
Volume
Issue
ISSN
24
2
Knowledge-Based Systems
Citations 
PageRank 
References 
20
0.72
33
Authors
4