Author(s):  
Gregorio Díaz ◽  
María-Emilia Cambronero ◽  
M. Llanos Tobarra ◽  
Valentín Valero ◽  
Fernando Cuartero

2011 ◽  
pp. 388-407
Author(s):  
Zakaria Maamar

This chapter presents two research projects applying context in Web services. A Web service is an accessible application that other applications and humans can discover and invoke to satisfy multiple needs. While much of the work on Web services has up to now focused on low-level standards for publishing, discovering, and triggering Web services, several arguments back the importance of making Web services aware of their context. In the ConCWS project, the focus is on using context during Web-services composition, and in the ConPWS project, the focus is on using context during Web-services personalization. In both projects, various concepts are used such as software agents, conversations, and policies. For instance, software agents engage in conversations with their peers to agree on the Web services that participate in a composition. Agents’ engagements are regulated using policies.


Author(s):  
S. Ahmadian ◽  
F. Hakimpour

Abstract. User-generated contents are developing rapidly through VGI and contributors create the tags through the Web applications in a free mechanism. Semantic Knowledge in VGI like other user-generated contents needs to be combined with other authoritative data sources. One of the main challenges of integration is the semantic heterogeneity of user-generated contents which are describing the geographical objects as POIs. Geographical objects can be described in different semantic levels such as purpose or function. Significance of semantic levels defines the importance of related attributes. Analysis of significance for semantic levels of different POIs can be considered as a base to enhance the semantic quality of VGI. This paper proposes an approach based on the notions of rough set theory to measure the significance of semantic levels of tags which are applied to describe the buildings in OpenStreetMap. The proposed approach is implemented for tags which are applied to describe buildings in OpenStreetMap. Results show the high significance for tags which describing the semantic levels of geographic information constructs and purpose/ function for buildings.


Author(s):  
Quan Yuan ◽  
Mihai Fonoage ◽  
Ionut Cardei

This chapter introduces the web services composition as a means of studying efficient integration of the existing web services to satisfy users’ requirements. It discusses the web services composition definition, combined with the current web services composition methods, and divides those methods into two categories: AI-based methods and Non-AI methods. Also, the authors present the features and the comparison of these two categories, to assist researchers in the understanding of web service composition in a variety of contexts.


2013 ◽  
Vol 20 (10) ◽  
pp. 2708-2714 ◽  
Author(s):  
Li Chen ◽  
Ying Zhang ◽  
Zi-lin Song ◽  
Zhuang Miao

2021 ◽  
Author(s):  
Sarra Abidi ◽  
Fathia Bettaher ◽  
Myriam Fakhri

Generally available Web Services (WS) can not meet the complex needs of users and their adaptation to the environment remains a major problem for the design of information systems. The web services composition comes to address the satisfaction of new and complex needs such as the process we find in most organizations. Its purpose is to perform several services to meet user demand. The satisfaction of a user needs a dynamic and reusable environment to meet those needs. In this context, the user interactions are essential. From there, in this work, we define two objectives: i) propose a service composition approach that allows dynamic services composition and its purpose is to meet a need. ii) Propose a personalization approach for Web services composition which allows the reuse of services while adopting for the context of each user. Our approach is based on the use of ontologies and user profile.


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