Abstract
The main element of profit-bringing in the business, so in the e-business too, is the client; therefore increasing the financial efficiency can be achieved by optimizing the components that stimulate him to allocate more money for the business products and services. This article aims to propose a technical frame, an orientation and a development analysis in terms of learning-based systems. Using ontology, learning-based system will have as purpose understanding user preferences and correctly predicting them by starting from a minimal knowledge accumulation, so that the interest rate reached by this information to be larger. Learning-based system will work with web platform, so that the generated decisions to be implemented dynamically, rapidly and automatically.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Magazine, Fortune. Fortune 500 2011: Top Performers. CNNMoney. Cable News Network (January 1, 2012), http://money.cnn.com/magazines/fortune/fortune500/2011/performers/companies/profits/ (Web. June 27, 2012)
Union, European. Europe’s Digital Competitiveness Report 2010. Europe’s Digital Competitiveness Report 2010 (January 1, 2011), http://ec.europa.eu/information_society/digital-agenda/documents/edcr.pdf (Web. March 1, 2012)
Hsu, G., Lin, Y., Wei, Z.: Competition Policy for Technological Innovation in an Era of Knowledge-based Economy. Knowledge-Based Systems 21(8), 826–832 (2008)
Simperl, E.: Reusing Ontologies on the Semantic Web: A Feasibility Study. Data & Knowledge Engineering 68(10), 905–925 (2009)
GarcÃa-Castro, R., Gómez-Pérez, A.: Interoperability Results for Semantic Web Technologies Using OWL as the Interchange Language. Web Seman-tics: Science, Services and Agents on the World Wide Web 8(4), 278–291 (2010)
Park, J., Cho, W., Rho, S.: Evaluating Ontology Extraction Tools Using a Comprehensive Evaluation Framework. Data & Knowledge Engineering 69(10), 1043–1061 (2010)
Liu, X., Zhang, W.J., Tu, Y.L., Jiang, R.: An Analytical Approach to Customer Requirement Satisfaction in Design Specification Development. IEEE Transactions on Engineering Management 55(1), 94–102 (2008)
D’Aquin, M., Noy, N.F.: Where to Publish and Find Ontologies? A Survey of Ontology Libraries. Web Semantics: Science, Services and Agents on the World Wide Web 11, 96–111 (2012)
Liu, Y., Xue, Y., Xu, D., Cen, R., Zhang, M., Ma, S., Ru, L.: Constructing a Reliable Web Graph with Information on Browsing Behavior. Decision Support Systems (accepted, 2012)
Zhou, Q., Ye, H., Ding, Z.: Performance Analysis of Web Applications Based on User Navigation. Physics Procedia 24, Part B, 1319–1328 (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Stan, IS., Stroe, IS. (2013). Optimizing E-Business Using Learning-Based Systems. In: Balas, V., Fodor, J., Várkonyi-Kóczy, A., Dombi, J., Jain, L. (eds) Soft Computing Applications. Advances in Intelligent Systems and Computing, vol 195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33941-7_57
Download citation
DOI: https://doi.org/10.1007/978-3-642-33941-7_57
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33940-0
Online ISBN: 978-3-642-33941-7
eBook Packages: EngineeringEngineering (R0)