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With the development of Internet, more and more public users prefer to present their viewpoints of government policies. They often comment on some emergencies through news, blogs and so on. Their opinions influence decision makers of government to make right decisions. However, large numbers of news and related comments are produced when an emergency occurs and officers are very difficult to read...
To resolve inefficiencies in traditional decision support system (DSS) as the lack of semantic representation and imperfections of software computing environments, we proposed a semantic decision support system (SDSS). Based on traditional DSS, SDSS expands the existing decision-making methodologies to realize semantics formalization of decision problem, decision model and other data related to decision-making...
A new semantics driven decision making pattern is proposed because of the lack of semantic comprehension and sharing in traditional decision support system. The structure of decision support system is a three layer architecture and composed by interaction level, ontology level and decision level. In this semantics based decision support system, the decision domain problem description ontology and...
In this paper we present a framework for automation of distributed market place that is based on intelligent software agents and semantic Web services. A multi-agent environment designed for automation of e-commerce activities such as negotiation between buyer and seller, recommendation, and customer decision making. Furthermore we use a semantic Web service middleware called StraBM , advising managers...
Current fashion systems to interconnect large software architectures are moving toward SOA based solutions. This new paradigm for designing system can be improved, in our opinion, by using semantics. Semantics can a play a main role in boosting interoperability thanks to current technologies to express knowledge and to describe semantic Web services (SWS). This paper tackles the provision of a Software...
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