Journals Proceedings

Abstract

Present world is an era of automation, machines have been granted the power of decision making, so is the case in Information Science. Recent developments in web services have shown the capability of semantic web in decision making through automated Discovery & Selection. Though automated web service discovery is a huge achievement in information Science but there lies the uncertainty factor which hampers the accuracy of decision making thus making it difficult to deliver exact service. In this paper we proposed an experimental system to identify uncertainty issues related to automated Web Service processing and shown how these uncertainties can be reduced through Web Content Mining and User Preference Mining. The paper is concluded with the discussion of possible future enhancement in Web modeling standards for handling uncertainty Issues.