A QoS-aware approach for runtime discovery, selection and composition of semantic web services

2016 ◽  
Vol 12 (2) ◽  
pp. 177-200 ◽  
Author(s):  
Sanjay Garg ◽  
Kirit Modi ◽  
Sanjay Chaudhary
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
User Satisfaction ◽  
Service Discovery ◽  
Semantic Web Services ◽  
Functional Requirements ◽  
Semantic Description ◽  
Content Type ◽  
The Web

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.

A semantic web services discovery approach based on a mobile agent using metadata

2017 ◽  
Vol 10 (1) ◽  
pp. 12-29 ◽  
Author(s):  
Nadia Ben Seghir ◽  
Okba Kazar ◽  
Khaled Rezeg ◽  
Samir Bourekkache
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
Mobile Agent ◽  
Service Providers ◽  
User Profile ◽  
Search Space ◽  
Semantic Web Services ◽  
Content Type ◽  
The Web

Purpose The success of web services involved the adoption of this technology by different service providers through the web, which increased the number of web services, as a result making their discovery a tedious task. The UDDI standard has been proposed for web service publication and discovery. However, it lacks sufficient semantic description in the content of web services, which makes it difficult to find and compose suitable web services during the analysis, search, and matching processes. In addition, few works on semantic web services discovery take into account the user’s profile. The purpose of this paper is to optimize the web services discovery by reducing the search space and increasing the number of relevant services. Design/methodology/approach The authors propose a new approach for the semantic web services discovery based on the mobile agent, user profile and metadata catalog. In the approach, each user can be described by a profile which is represented in two dimensions: personal dimension and preferences dimension. The description of web service is based on two levels: metadata catalog and WSDL. Findings First, the semantic web services discovery reduces the number of relevant services through the application of matching algorithm “semantic match”. The result of this first matching restricts the search space at the level of UDDI registry, which allows the users to have good results for the “functional match”. Second, the use of mobile agents as a communication entity reduces the traffic on the network and the quantity of exchanged information. Finally, the integration of user profile in the service discovery process facilitates the expression of the user needs and makes intelligible the selected service. Originality/value To the best knowledge of the authors, this is the first attempt at implementing the mobile agent technology with the semantic web service technology.

WSMO and WSMX Support to the Semantic Web Services Technology

2014 ◽  
pp. 30-47
Author(s):  
Mariam Abed Mostafa Abed
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
Service Discovery ◽  
Semantic Web Services ◽  
Semantic Web Service ◽  
Web Service Discovery ◽  
Execution Environment ◽  
Service Modeling ◽  
The Web

This paper tests the ability of the Web Service Modeling Ontology (WSMO) and the Web Service Modeling eXecution environment (WSMX) to support the Semantic Web Services technology, and automate the process of web service discovery, selection and invocation. First, it introduced web services and their limitations that were overcome in the vision of the Semantic Web Services technology. Then a Semantic Web Service (SWS) was built on top of WSMO to access the publications of the German University in Cairo (GUC), and was registered to WSMX. To test the validity to the claim, a service request to access the publications of the GUC was sent to WSMX and the process followed by WSMX was investigated. Furthermore, the discussion added a suggestion that would enhance the transparency between the Semantic Web and WSMO-WSMX initiatives.

WSMO and WSMX Support to the Semantic Web Services Technology

2011 ◽  
Vol 6 (2) ◽  
pp. 40-56
Author(s):  
Mariam Abed Mostafa Abed
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
Service Discovery ◽  
Semantic Web Services ◽  
Semantic Web Service ◽  
Web Service Discovery ◽  
Execution Environment ◽  
Service Modeling ◽  
The Web

This paper tests the ability of the Web Service Modeling Ontology (WSMO) and the Web Service Modeling eXecution environment (WSMX) to support the Semantic Web Services technology, and automate the process of web service discovery, selection and invocation. First, it introduced web services and their limitations that were overcome in the vision of the Semantic Web Services technology. Then a Semantic Web Service (SWS) was built on top of WSMO to access the publications of the German University in Cairo (GUC), and was registered to WSMX. To test the validity to the claim, a service request to access the publications of the GUC was sent to WSMX and the process followed by WSMX was investigated. Furthermore, the discussion added a suggestion that would enhance the transparency between the Semantic Web and WSMO-WSMX initiatives.

PROCESS MODEL ONTOLOGY-BASED MATCHMAKING OF SEMANTIC WEB SERVICES

2011 ◽  
Vol 20 (04) ◽  
pp. 357-370 ◽  
Author(s):  
D. PAULRAJ ◽  
S. SWAMYNATHAN ◽  
M. MADHAIYAN
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
Process Model ◽  
Service Discovery ◽  
Service Oriented Architecture ◽  
Semantic Web Services ◽  
Functional Part ◽  
Service Oriented ◽  
Concise Description

One of the key challenges of the Service Oriented Architecture is the discovery of relevant services for a given task. In Semantic Web Services, service discovery is generally achieved by using the service profile ontology of OWL-S. Profile of a service is a derived, concise description and not a functional part of the semantic web service. There is no schema present in the service profile to describe the input, output (IO), and the IOs in the service profile are not always annotated with ontology concepts, whereas the process model has such a schema to describe the IOs which are always annotated with ontology concepts. In this paper, we propose a complementary sophisticated matchmaking approach which uses the concrete process model ontology of OWL-S instead of the concise service profile ontology. Empirical analysis shows that high precision and recall can be achieved by using the process model-based service discovery.

Semantic Web Services Discovery

2018 ◽  
Vol 14 (4) ◽  
pp. 57-72 ◽  
Author(s):  
Randa Hammami ◽  
Hatem Bellaaj ◽  
Ahmed Hadj Kacem
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
Traditional Method ◽  
Service Discovery ◽  
Semantic Web Services ◽  
Web Service Discovery ◽  
User Request ◽  
Semantic Web Service Discovery

This article describes how Web services play an important role in several fields such as e-commerce and e-health. As the number of Web services is increasing rapidly, finding the best Web service according to users' requirements becomes more challenging. The traditional method of Web service discovery is based on keyword match. Due to this, many Web services which are most relevant to the user request are left undiscoverable. Some other emergent approaches are based on semantics to improve the quality of the discovered Web services in terms of relevance and satisfaction of user's need. In this paper, the authors present a survey of existing semantic Web services discovery approaches giving priority to relevant ones. Furthermore, this paper provides a critical and comparative analysis of the studied approaches and stands out major challenges to be addressed to substantially enhance the semantic Web service discovery.

A Semantic Web Service Discovery Method Based on Ontology

2010 ◽  
Vol 20-23 ◽  
pp. 878-883
Author(s):  
Wen Ya Tian ◽  
Zhu Jun Xu
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
Service Discovery ◽  
Prototype System ◽  
Semantic Web Service ◽  
Web Service Discovery ◽  
Discovery Method ◽  
Semantic Web Service Discovery ◽  
The Web

Many methods have been used such as UDDI and DWS to discovery requested web services. But they are just a kind of simple syntax match based on keywords and have a low ratio and precision. This paper proposes A Semantic Web Service Discovery Method Based on Ontology. It uses tree-form data structure to describe the web services and give all the nodes a weight value by certain strategy, then compute the semantic similarity between the web services requested and the services registered. To validate the feasibility and effectiveness of the algorithm, we construct a self-developed prototype system to show how well it works. The experiments prove that this algorithm has high recall and precision than other methods.

A Survey of Web Service Discovery Systems

2011 ◽  
pp. 266-281
Author(s):  
Le Duy Ngane ◽  
Angela Goh ◽  
Cao Hoang Tru
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
Service Discovery ◽  
Rapid Development ◽  
Semantic Web Service ◽  
Web Service Discovery ◽  
The Core ◽  
Semantic Web Service Discovery ◽  
The Web

Web services form the core of e-business and hence, have experienced a rapid development in the past few years. This has led to a demand for a discovery mechanism for Web services. Discovery is the most important task in the Web service model because Web services are useless if they cannot be discovered. A large number of Web service discovery systems have been developed. Universal Description, Discovery and Integration (UDDI) is a typical mechanism that stores indexes to Web services but it does not support semantics. Semantic Web service discovery systems that have been developed include systems that support matching Web services using the same ontology, systems that support matching Web services using different ontologies, and systems that support limitations of UDDI. This paper presents a survey of Web service discovery systems, focusing on systems that support semantics. The paper also elaborates on open issues relating to such discovery systems.

scholarly journals A semantic web services discovery approach integrating multiple similarity measures and k-means clustering

2021 ◽  
Vol 24 (2) ◽  
pp. 1228
Author(s):  
Mourad Fariss ◽  
Naoufal El Allali ◽  
Hakima Asaidi ◽  
Mohamed Bellouki
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
Service Discovery ◽  
Service Oriented Architecture ◽  
Similarity Measures ◽  
Web Service Discovery ◽  
Service Oriented ◽  
The Web ◽  
Similarity Scores

Web service (WS) discovery is an essential task for implementing complex applications in a service oriented architecture (SOA), such as selecting, composing, and providing services. This task is limited semantically in the incorporation of the customer’s request and the web services. Furthermore, applying suitable similarity methods for the increasing number of WSs is more relevant for efficient web service discovery. To overcome these limitations, we propose a new approach for web service discovery integrating multiple similarity measures and k-means clustering. The approach enables more accurate services appropriate to the customer's request by calculating different similarity scores between the customer's request and the web services. The global semantic similarity is determined by applying k-means clustering using the obtained similarity scores. The experimental results demonstrated that the proposed semantic web service discovery approach outperforms the state-of-the approaches in terms of precision (98%), recall (95%), and F-measure (96%). The proposed approach is efficiently designed to support and facilitate the selection and composition of web services phases in complex applications.

scholarly journals A Pragmatic Algorithm for Attack Prevention on Semantic Web Services

2019 ◽  
Vol 9 (1) ◽  
pp. 1945-1950
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Social Networking ◽  
Web Service ◽  
Packet Loss ◽  
Semantic Web Services ◽  
Man In The Middle ◽  
Overall Performance ◽  
The Common ◽  
The Web

In this digital age, semantic Web services have emerged as services that are used in every field. Today various types of services like e-commerce, social networking, and online payment of various services, etc., are used by the user through the Semantic Web. The Semantic Web has emerged as a powerful medium for using online services. The use of semantic Web services greatly simplified the life of the common citizen. The database is used to hoard information related to various services provided by Semantic Web Services. It turns out to be indispensable that when a user communicates with the database then there should not be any interference in it. The expansion of semantic Web services led various assailants to start making various efforts to stop these services. The network assail for instance Man-in-middle or DoS assail has adverse effect on the performance of the Web service. This paper insinuates a principle server of ARP algorithm that uses IP-MAC trussing approach on the network to prevent Man-in-the-middle and DoS assail within a entreaty succumbed to the Web service. Aftermath revelations that after implementing the algorithms, the number of packet loss reduces drastically and enhancing the overall performance of Web service. The staple objective of this paper is how the services bestowed by the Web service can be protected from assailant.

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