Ontology based Semantic Description and Registration of Mathematical Web Services

Author(s):  
Adlin Sheeba ◽  
S. Padmakala ◽  
C.A. Subasini
2016 ◽  
Vol 12 (2) ◽  
pp. 177-200 ◽  
Author(s):  
Sanjay Garg ◽  
Kirit Modi ◽  
Sanjay Chaudhary

Purpose Web services play vital role in the development of emerging technologies such as Cloud computing and Internet of Things. Although, there is a close relationship among the discovery, selection and composition tasks of Web services, research community has treated these challenges at individual level rather to focus on them collectively for developing efficient solution, which is the purpose of this work. This paper aims to propose an approach to integrate the service discovery, selection and composition of Semantic Web services on runtime basis. Design/methodology/approach The proposed approach defined as a quality of service (QoS)-aware approach is based on QoS model to perform discovery, selection and composition tasks at runtime to enhance the user satisfaction and quality guarantee by incorporating non-functional parameters such as response time and throughput with the Web services and user request. In this paper, the proposed approach is based on ontology for semantic description of Web services, which provides interoperability and automation in the Web services tasks. Findings This work proposed an integrated framework of Web service discovery, selection and composition which supports end user to search, select and compose the Web services at runtime using semantic description and non-functional requirements. The proposed approach is evaluated by various data sets from the Web Service Challenge 2009 (WSC-2009) to show the efficiency of this work. A use case scenario of Healthcare Information System is implemented using proposed work to demonstrate the usability and requirement the proposed approach. Originality/value The main contribution of this paper is to develop an integrated approach of Semantic Web services discovery, selection and composition by using the non-functional requirements.


Author(s):  
Yinsheng Li ◽  
Hamada Ghenniwa ◽  
Weiming Shen

Current efforts have not enforced Web services as loosely coupled and autonomous entities. Web services and software agents have gained different focuses and accomplishments due to their development and application backgrounds. This chapter proposes service-oriented agents (SOAs) to unify Web services and software agents. Web services features can be well realized through introducing software agents’ sophisticated software modeling and interaction behaviors. We present a natural framework to integrate their related technologies into a cohesive body. Several critical challenges with SOAs have been addressed. The concepts, system and component structures, a meta-model driven semantic description, agent-oriented knowledge representation, and an implementation framework are proposed and investigated. They contribute to the identified setbacks with Web services technologies, such as dynamic composition, semantic description, and implementation framework. A prototype of the proposed SOAs implementation framework has been implemented. Several economic services are working on it.


Author(s):  
Salma Bradai ◽  
Sofien Khemakhem ◽  
Mohamed Jmaiel

The rapid growth of sensor-enabled smartphone is driven phenomena of common interest to be observed while leveraging people mobility and their sensory data collection. This paradigm known as mobile crowdsensing has demonstrated its efficiency in data collection over the last years, enabling the monitoring of traffic, pollution, people density and more. However, it stills pose interesting challenges, with particular regard to the management of collected data, dealing with their presentation and standardization in an interoperable infrastructure. Current visions of future crowdsensing systems share common goal of integrating those data into powerful real time web services accessible and discoverable via the web. In this paper the authors dig into this axis and define several criteria that allow succeeding it. They pay particular attention to semantic description and discovery techniques and evaluate proposed approaches by defining their strengths and shortcomings. The authors also propose guidelines for future researches.


2014 ◽  
Vol 29 (2) ◽  
pp. 248-264 ◽  
Author(s):  
Duygu Celik ◽  
Atilla Elci

AbstractLack of sufficient semantic description in the content of Web services makes it difficult to find and compose suitable Web services during analysis, search, and matching processes. Semantic Web Services are Web services that have been enhanced with formal semantic description, which provides well-defined meaning. Due to insertion of semantics, meeting user demands will be made possible through logical deductions achieving resolutions automatically. We have developed an inference-based semantic business process composition agent (SCA) that employs inference techniques. The semantic composition agent system is responsible for the synthesis of new services from existing ones in a semi-automatic fashion. SCA System composes available Web Ontology Language for Web services atomic processes utilizing Revised Armstrong's Axioms (RAAs) in inferring functional dependencies. RAAs are embedded in the knowledge base ontologies of SCA System. Experiments show that the proposed SCA System produces process sequences as a composition plan that satisfies user's requirement for a complex task. The novelty of the SCA System is that for the first time Armstrong's Axioms are revised and used for semantic-based planning and inferencing of Web services.


Author(s):  
Nadia Ben Seghir ◽  
Okba Kazar ◽  
Khaled Rezeg

Web services are meaningful only if potential users may find and execute them. Universal description discovery and integration (UDDI) help businesses, organizations, and other web services providers to discover and reach to the service(s) by providing the URI of the WSDL file. However, it does not offer a mechanism to choose a web service based on its quality. The standard also lacks sufficient semantic description in the content of web services. This lack makes it difficult to find and compose suitable web services during analysis, search, and matching processes. In addition, a central UDDI suffers from one centralized point problem and the high cost of maintenance. To get around these problems, the authors propose in this chapter a novel framework based on mobile agent and metadata catalogue for web services discovery. Their approach is based on user profile in order to discover appropriate web services, meeting customer requirements in less time and taking into account the QoS properties.


Web Services ◽  
2019 ◽  
pp. 1485-1506
Author(s):  
Salma Bradai ◽  
Sofien Khemakhem ◽  
Mohamed Jmaiel

The rapid growth of sensor-enabled smartphone is driven phenomena of common interest to be observed while leveraging people mobility and their sensory data collection. This paradigm known as mobile crowdsensing has demonstrated its efficiency in data collection over the last years, enabling the monitoring of traffic, pollution, people density and more. However, it stills pose interesting challenges, with particular regard to the management of collected data, dealing with their presentation and standardization in an interoperable infrastructure. Current visions of future crowdsensing systems share common goal of integrating those data into powerful real time web services accessible and discoverable via the web. In this paper the authors dig into this axis and define several criteria that allow succeeding it. They pay particular attention to semantic description and discovery techniques and evaluate proposed approaches by defining their strengths and shortcomings. The authors also propose guidelines for future researches.


Author(s):  
Nadia Ben Seghir ◽  
Okba Kazar ◽  
Khaled Rezeg

Web services discovery provided by the UDDI registries is relatively primitive. It does not take into account the continuous growth in the number of services on the Web. The UDDI standard has been proposed and used for Web service publication and discovery. However, it does not allow users to choose the best provider. It does not offer a mechanism to choose a Web service based on its quality. The standard also lacks of sufficient semantic description in the content of Web services, this lack makes it difficult to find and compose suitable Web services during analysis, search, and matching processes. In addition, a central UDDI suffers from one centralized point problem and the high cost of maintenance. To get around these problems, the authors propose in this paper a novel framework based on mobile agent and metadata catalogue for Web services discovery. Their approach is based on user profile in order to discover appropriate Web services, meeting customer requirements, in less time and taking into account the QoS properties.


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