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

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.

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A Survey on Web Service Discovery Approaches

10.54216/fpa.050202 ◽

2021 ◽

pp. 53-60

Author(s):

Abdelghany Mosa ◽

◽

Ahmed Abdelaziz

Keyword(s):

Web Services ◽

Web Service ◽

Service Discovery ◽

Service Oriented Architecture ◽

New Approach ◽

Web Service Discovery ◽

Loosely Coupled ◽

Advantages And Disadvantages ◽

Service Oriented ◽

The Web

Service Oriented Architecture (SOA) is an approach to build distributed systems that deliver application functionality as services that are language and platform-independent. Web service is one of the fundamental technologies in implementing SOA based applications. Web services are modular, self-describing, self-contained and loosely coupled applications that can be published, located, and invoked across the web. As the number of web services is increased, finding a set of suitable web service candidates with regard to a user’s requirement becomes a challenge. Web service discovery is the process of finding the most suitable service by matching service descriptions against service requests. Various approaches for web service discovery have been proposed. In this paper, we present an overview of different approaches for web service discovery described in the literature and try to classify them into different categories. We also determine the advantages and disadvantages of each category. The goal is to help researchers to propose a new approach or to select the most appropriate existing approach for service discovery.

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PROCESS MODEL ONTOLOGY-BASED MATCHMAKING OF SEMANTIC WEB SERVICES

International Journal of Cooperative Information Systems ◽

10.1142/s0218843011002262 ◽

2011 ◽

Vol 20 (04) ◽

pp. 357-370 ◽

Cited By ~ 4

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.

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A Semantic Web Service Discovery Method Based on Ontology

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.20-23.878 ◽

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.

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A Survey of Web Service Discovery Systems

Agent Technologies and Web Engineering ◽

10.4018/978-1-60566-618-1.ch014 ◽

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.

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WSMO and WSMX Support to the Semantic Web Services Technology

Network and Communication Technology Innovations for Web and IT Advancement ◽

10.4018/978-1-4666-2157-2.ch003 ◽

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.

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A Cluster-Based Web Service Discovery in MANET Environments

Mobile Information Systems ◽

10.1155/2011/763043 ◽

2011 ◽

Vol 7 (4) ◽

pp. 299-315 ◽

Cited By ~ 4

Author(s):

Yeon-Seok Kim ◽

Yoo-Seok Shim ◽

Kyong-Ho Lee

Keyword(s):

Web Services ◽

Web Service ◽

Mobile Devices ◽

Service Discovery ◽

Service Oriented Architecture ◽

Heterogeneous Platforms ◽

Web Service Discovery ◽

Stable Clusters ◽

Service Oriented ◽

Development Paradigm

As standard technologies to implement a service-oriented architecture, Web services support interoperability between heterogeneous platforms. In the ubiquitous era, for Web services to become a universal software development paradigm, they must be able to support a MANET environment with a variety of mobile devices. In this paper, we propose an efficient method that discovers services in MANET environments, where mobile devices are free to move independently. The proposed method constructs stable clusters based on the mobility of devices. It also selects an appropriate service discovery scheme for a cluster depending on its characteristics. Experimental results show that the proposed method outperforms previous methods, and discovers services based on the features of a cluster.

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Survey of Web Service Discovery Systems

Emerging Topics and Technologies in Information Systems ◽

10.4018/978-1-60566-222-0.ch015 ◽

2009 ◽

pp. 254-269 ◽

Cited By ~ 1

Author(s):

Le Duy Ngan ◽

Angela Goh

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.

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WSMO and WSMX Support to the Semantic Web Services Technology

International Journal of Information Technology and Web Engineering ◽

10.4018/jitwe.2011040104 ◽

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

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

International Journal of Web Information Systems ◽

10.1108/ijwis-12-2015-0040 ◽

2016 ◽

Vol 12 (2) ◽

pp. 177-200 ◽

Cited By ~ 6

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.

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Semantic Web Services for Simulation Component Reuse and Interoperability

Organizational Advancements through Enterprise Information Systems ◽

10.4018/978-1-60566-968-7.ch021 ◽

2010 ◽

pp. 336-352

Keyword(s):

Software Engineering ◽

Web Services ◽

Semantic Web ◽

Web Service ◽

Service Discovery ◽

Organizational Boundaries ◽

Web Service Discovery ◽

Novel Approach ◽

Commercial Off The Shelf ◽

Semantic Interoperation

Commercial-off-the-shelf (COTS) Simulation Packages (CSPs) are widely used in industry primarily due to economic factors associated with developing proprietary software platforms. Regardless of their widespread use, CSPs have yet to operate across organizational boundaries. The limited reuse and interoperability of CSPs are affected by the same semantic issues that restrict the inter-organizational use of software components and web services. The current representations of Web components are predominantly syntactic in nature lacking the fundamental semantic underpinning required to support discovery on the emerging Semantic Web. The authors present new research that partially alleviates the problem of limited semantic reuse and interoperability of simulation components in CSPs. Semantic models, in the form of ontologies, utilized by the authors’ Web service discovery and deployment architecture, provide one approach to support simulation model reuse. Semantic interoperation is achieved through a simulation component ontology that is used to identify required components at varying levels of granularity (i.e. including both abstract and specialized components). Selected simulation components are loaded into a CSP, modified according to the requirements of the new model and executed. The research presented here is based on the development of an ontology, connector software, and a Web service discovery architecture. The ontology is extracted from example simulation scenarios involving airport, restaurant and kitchen service suppliers. The ontology engineering framework and discovery architecture provide a novel approach to inter-organizational simulation, by adopting a less intrusive interface between participants Although specific to CSPs this work has wider implications for the simulation community. The reason being that the community as a whole stands to benefit through from an increased awareness of the state-of-the-art in Software Engineering (for example, ontology-supported component discovery and reuse, and service-oriented computing), and it is expected that this will eventually lead to the development of a unique Software Engineering-inspired methodology to build simulations in future.

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