Applying Ontological Similarity to Automatic Service Composition to Generate Alternative Business Processes

Author(s):  
Phillip Luiz Viana ◽  
Jorge Luis Risco Becerra
2008 ◽  
Vol 29 (3-4) ◽  
pp. 265-276 ◽  
Author(s):  
Maria J. Santofimia ◽  
Francisco Moya ◽  
Felix J. Villanueva ◽  
David Villa ◽  
Juan C. Lopez

2013 ◽  
Vol 756-759 ◽  
pp. 2120-2124
Author(s):  
Shan Zhou ◽  
Fang Yu Zhang

The paper proposes a method for semantic message matching in automatic service composition. It develops a framework in which the exported message description and behavior description of a service, and represents the behavior of a service with a finite state machine. Since the service interface definition can be represented by ontology concepts, the internal representation language enables us to define some issues required by service composition formally, qualitative and quantitative constraints plus reasoning on concepts, and the service behavior can be represented using linear logic formulas, so the inference rules of linear logic can check the match-ability and satisfy-ability of service message.


Author(s):  
Vivek Gaur ◽  
Praveen Dhyani ◽  
Om Prakash Rishi

Recent computing world has seen rapid growth of the number of middle and large scale enterprises that deploy business processes sharing variety of services available over cloud environment. Due to the advantage of reduced cost and increased availability, the cloud technology has been gaining unbound popularity. However, because of existence of multiple cloud service providers on one hand and varying user requirements on the other hand, the task of appropriate service composition becomes challenging. The conception of this chapter is to consider the fact that different quality parameters related to various services might bear varied importance for different user. This chapter introduces a framework for QoS-based Cloud service selection to satisfy the end user needs. A hybrid algorithm based on genetic algorithm (GA) and Tabu Search methods has been developed, and its efficacy is analysed. Finally, this chapter includes the experimental analysis to present the performance of the algorithm.


2012 ◽  
Vol 4 (1) ◽  
pp. 16-28 ◽  
Author(s):  
Maria J. Santofimia ◽  
Xavier del Toro ◽  
Felix J. Villanueva ◽  
Jesus Barba ◽  
Francisco Moya ◽  
...  

The incapability to foresee or react to all the events that take place in a specific environment supposes an important handicap for Ambient Intelligence systems, expected to be self-managed, proactive, and goal-driven. Endowing such systems with capabilities to understand and reason about context seems like a promising solution to overcome this hitch. Supported on the service-oriented paradigm, composing rather than combining services provides a reasonable mean to implement versatile systems. This paper describes how systems for Ambient Intelligence can be improved by combining automatic service composition and reasoning capabilities upon a distributed middleware framework.


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