Knowlegde Dynamics in Semantic Web Service Composition for Supply Chain Management Applications

Journal Title: Journal of Applied Quantitative Methods - Year 2010, Vol 5, Issue 1

Abstract

Semantic Web Service technology can play a vital role in today’s changing economic conditions, as it allows business to quickly adapt to market changes. By combining individual services into more complex systems, web service composition facilitates knowledge dynamics and knowledge sharing between business partners. The proposed framework uses a semi-automatic approach as manual web service composition is both time-consuming and error-prone.

Authors and Affiliations

Andreea DIOSTEANU, Liviu COTFAS

Keywords

Related Articles

Implementation and Applications of a Three-Round User Strategy for Improved Principal Axis Minimization

This paper presents a three-round user strategy (EPM), extending the C implementation of Brent’s PRAXIS algorithm by Gegenfurtner. In a first round, EPM applies a multistart procedure for global optimization, randomly ge...

Automated Software Translation – Theoretical Background and Case Study

The necessity for software migration is presented. The concept of software migrator is introduced. A generality metric for software translations is proposed. The business feasibility of automated versus manual migration...

ENVIRONMENTAL AWARENESS AND DISASTER FACTORS IN BANGLADESH

Environmental pollution is one of the important problems for the living beings. It interrupts to lead better life. The present study is an attempt to study the environmental awareness and behavior towards the environment...

ON FUZZY REGRESSION ADAPTING PARTIAL LEAST SQUARES

Partial Least Squared (PLS) regression is a model linking a dependent variable y to a set of X (numerical or categorical) explanatory variables. It can be obtained as a series of simple and multiple regressions of simple...

Information Theoretic Estimation Improvement To The Nonlinear Gompertz’s Model Based On Ranked Set Sampling

The aim of this paper is to apply both Generalized Maximum Entropy (GME) estimation method and Ranked Set Sampling (RSS) technique to improve the estimations of the Gompertz’s Model. The Gompertz’s model is a simple form...

Download PDF file
  • EP ID EP85743
  • DOI -
  • Views 91
  • Downloads 0

How To Cite

Andreea DIOSTEANU, Liviu COTFAS (2010). Knowlegde Dynamics in Semantic Web Service Composition for Supply Chain Management Applications. Journal of Applied Quantitative Methods, 5(1), 1-13. https://europub.co.uk/articles/-A-85743