Visualization of Real-World Web Services Based on Fuzzy Logic

Author(s):  
Mohammed Almulla ◽  
Hamdi Yahyaoui ◽  
Kawthar Almatori
Keyword(s):  
2014 ◽  
Vol 17 (6) ◽  
pp. 1301-1311 ◽  
Author(s):  
Hala S. Own ◽  
Hamdi Yahyaoui
Keyword(s):  

Author(s):  
Siddhartha Bhattacharyya ◽  
Paramartha Dutta

The field of industrial informatics has emerged as one of the key disciplines for the purpose of intelligent management and dissemination of information in today’s world. With the advent of newer technical know-how, the subject of informative intelligence has assumed increasing importance in the industrial arena, thanks to the evolution of data intensive industry. Real world data exhibit varied amount of unquantifiable uncertainty in the information content. Conventional logic is often unable to explain the associated uncertainty and imprecision therein due to the principles of finiteness of observations and quantifying propositions employed. Fuzzy sets and fuzzy logic provide a logical framework for description of the varied amount of ambiguity, uncertainty and imprecision exhibited in real world data under consideration. The resultant fuzzy inference engine and the fuzzy logic control theory supplement the power of the framework in design of robust failsafe real life systems.


Author(s):  
Tru H. Cao

For modeling real-world problems and constructing intelligent systems, integration of different methodologies and techniques has been the quest and focus of significant interdisciplinary research effort. The advantages of such a hybrid system are that the strengths of its partners are combined and complementary to each other’s weakness. In particular, object orientation provides a hierarchical data abstraction scheme and a mechanism for information hiding and inheritance. However, the classical object-oriented data model cannot deal with uncertainty and imprecision pervasive in real world problems. Meanwhile, probability theory and fuzzy logic provide measures and rules for representing and reasoning with uncertainty and imprecision. That has led to intensive research and development of fuzzy and probabilistic object-oriented databases, as collectively reported in De Caluwe (1997), Ma (2005), and Marín & Vila (2007).


Author(s):  
Amit Singh ◽  
Aditi Sharan

This article describes how semantic web data sources follow linked data principles to facilitate efficient information retrieval and knowledge sharing. These data sources may provide complementary, overlapping or contradicting information. In order to integrate these data sources, the authors perform entity linking. Entity linking is an important task of identifying and linking entities across data sources that refer to the same real-world entities. In this work, they have proposed a genetic fuzzy approach to learn linkage rules for entity linking. This method is domain independent, automatic and scalable. Their approach uses fuzzy logic to adapt mutation and crossover rates of genetic programming to ensure guided convergence. The authors' experimental evaluation demonstrates that our approach is competitive and make significant improvements over state of the art methods.


2008 ◽  
pp. 206-227
Author(s):  
Konstantin Beznosov

This chapter reports on our experience of designing and implementing an architecture for protecting enterprise-grade Web service applications hosted by ASP.NET. Security mechanisms of Microsoft ASP.NET container—a popular hosting environment for Web services—have limited scalability, flexibility, and extensibility. They are therefore inade-quate for hosting enterprise-scale applications that need to be protected according to diverse and/or complex application-specific security policies. To overcome the limitations of ASP.NET security, we developed a flexible and extensible protection architecture. Deployed in a real-world security solution at a financial organization, the architecture enables integra-tion of ASP.NET into the organizational security infrastructure with reduced effort on the part of Web Service developers. Throughout this report, we discuss our design decisions, suggest best practices for constructing flexible and extensible authentication and authoriza-tion logic for Web Services, and share lessons learned.


Author(s):  
Edward Mac Gillavry

The collection and dissemination of geographic information has long been the prerogative of national mapping agencies. Nowadays, location-aware mobile devices could potentially turn everyone into a mapmaker. Collaborative mapping is an initiative to collectively produce models of real-world locations online that people can then access and use to virtually annotate locations in space. This chapter describes the technical and social developments that underpin this revolution in mapmaking. It presents a framework for an alternative geographic information infrastructure that draws from collaborative mapping initiatives and builds on established Web technologies. Storing geographic information in machine-readable formats and exchanging geographic information through Web services, collaborative mapping may enable the “napsterisation” of geographic information, thus providing complementary and alternative geographic information from the products created by national mapping agencies.


Author(s):  
Dominique Guinard ◽  
Vlad Trifa ◽  
Patrik Spiess ◽  
Bettina Dober ◽  
Stamatis Karnouskos
Keyword(s):  

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