Survey on Web Service Discovery and Availability in Mobile Environments and Future Trends in Mobile Web Services

Web Services have become essential to the software industry as they represent reusable, remotely accessible functionality and data. Since Web Services must be discovered before being consumed, many discovery approaches applying classic Information Retrieval techniques, which store and process textual service descriptions, have arisen. These efforts are affected by term mismatch: a description relevant to a query can be retrieved only if they share many words. We present an approach to improve Web Service discoverability that automatically augments Web Service descriptions and can be used on top of such existing syntactic-based approaches. We exploit Named Entity Recognition to identify entities in descriptions and expand them with information from public text corpora, for example, Wikidata, mitigating term mismatch since it exploits both synonyms and hypernyms. We evaluated our approach together with classical syntactic-based service discovery approaches using a real 1274-service dataset, achieving up to 15.06% better Recall scores, and up to 17% Precision-at-1, 8% Precision-at-2 and 4% Precision-at-3.

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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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Algorithm for Web Service Discovery Based on Information Retrieval Using WordNet and Linear Discriminant Functions

Journal of Advanced Computational Intelligence and Intelligent Informatics ◽

10.20965/jaciii.2008.p0182 ◽

2008 ◽

Vol 12 (2) ◽

pp. 182-189 ◽

Cited By ~ 4

Author(s):

Ricardo Sotolongo ◽

◽

Carlos Kobashikawa ◽

Fangyan Dong ◽

Kaoru Hirota

Keyword(s):

Information Retrieval ◽

Web Services ◽

Web Service ◽

Service Discovery ◽

Distributed Applications ◽

Service Description ◽

Lexical Database ◽

Linear Discriminant ◽

Web Service Discovery ◽

The One

An algorithm based on information retrieval that applies the lexical database WordNet together with a linear discriminant function is proposed. It calculates the degree of similarity between words and their relative importance to support the development of distributed applications based on web services. The algorithm uses the semantic information contained in the Web Service Description Language specifications and ranks web services based on their similarity to the one the developer is searching for. It is applied to a set of 48 real web services in five categories, then compared them to four other algorithms based on information retrieval, showing an averaged improvement over all data between 0.6% and 1.9% in precision and 0.7% and 3.1% in recall for the top 15 ranked web services. The objective was to reduce the burden and time spent searching web services during the development of distributed applications, and it can be used as an alternative to current web service discovery systems such as brokers in the Universal Description, Discovery, and Integration (UDDI) platform.

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A Study on Knowledge Discovery of Relevant Web Services with Semantic and Syntactic approaches

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY ◽

10.24297/ijct.v4i1a.3026 ◽

2013 ◽

Vol 4 (1) ◽

pp. 8-11

Author(s):

Mrs. M. Akila Rani ◽

Dr. D. Shanthi

Keyword(s):

Web Services ◽

Web Service ◽

Service Discovery ◽

Web Mining ◽

Support Service ◽

Service Description ◽

Web Service Discovery ◽

Novel Approach ◽

High Flexibility ◽

The Web

Web mining is the application of data mining techniques to discover patterns from the Web. Web services defines set of standards like WSDL(Web Service Description Language), SOAP(Simple Object Access Protocol) and UDDI(Universal Description Discovery and Integration) to support service description, discovery and invocation in a uniform interchangeable format between heterogeneous applications. Due to huge number of Web services and short content of WSDL description, the identification of correct Web services becomes a time consuming process and retrieves a vast amount of irrelevant Web services. This emerges the need for the efficient Web service mining framework for Web service discovery. Discovery involves matching, assessment and selection. Various complex relationships may provide incompatibility in delivering and identifying efficient Web services. As a result the web service requester did not attain the exact useful services. A research has emerged to develop method to improve the accuracy of Web service discovery to match the best services. In the discovery of Web services there are two approaches are available namely Semantic based approach and Syntactic based approach. Semantic based approach gives high accuracy than Syntactic approach but it takes high processing time. Syntactic based approach has high flexibility. Thus, this paper presents a survey of semantic based and syntactic based approaches of Web service discovery system and it proposed a novel approach which has better accuracy and good flexibility than existing one. Finally, it compares the existing approaches in web service discovery.

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Context-Aware Web Service Clustering and Visualization

International Journal of Web Services Research ◽

10.4018/ijwsr.2020100103 ◽

2020 ◽

Vol 17 (4) ◽

pp. 32-54

Author(s):

Banage T. G. S. Kumara ◽

Incheon Paik ◽

Yuichi Yaguchi

Keyword(s):

Web Services ◽

Web Service ◽

Service Discovery ◽

Search Space ◽

Context Aware ◽

Specific Context ◽

Web Service Discovery ◽

Domain Specific ◽

Clustering Approach ◽

Service Clustering

With the large number of web services now available via the internet, web service discovery has become a challenging and time-consuming task. Organizing web services into similar clusters is a very efficient approach to reducing the search space. A principal issue for clustering is computing the semantic similarity between services. Current approaches do not consider the domain-specific context in measuring similarity and this has affected their clustering performance. This paper proposes a context-aware similarity (CAS) method that learns domain context by machine learning to produce models of context for terms retrieved from the web. To analyze visually the effect of domain context on the clustering results, the clustering approach applies a spherical associated-keyword-space algorithm. The CAS method analyzes the hidden semantics of services within a particular domain, and the awareness of service context helps to find cluster tensors that characterize the cluster elements. Experimental results show that the clustering approach works efficiently.

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Semantic Web Services Discovery

International Journal on Semantic Web and Information Systems ◽

10.4018/ijswis.2018100103 ◽

2018 ◽

Vol 14 (4) ◽

pp. 57-72 ◽

Cited By ~ 1

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.

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Web Service Discovery Approaches for Dynamic Mobile Environment

International Journal of E-Services and Mobile Applications ◽

10.4018/ijesma.2021100102 ◽

2021 ◽

Vol 13 (4) ◽

pp. 16-38

Author(s):

Salisu Garba ◽

Radziah Mohamad ◽

Nor Azizah Saadon

Keyword(s):

Literature Review ◽

Web Service ◽

Systematic Literature Review ◽

Service Discovery ◽

Research Trends ◽

Mobile Environment ◽

Essential Information ◽

Mobile Web ◽

Web Service Discovery ◽

Depth Analysis

Mobile web service (MWS) discovery is taking a new direction due to the explosion of users accessing mobile services using diverse mobile devices, coupled with the persistent changes in a dynamic mobile environment (DME). This leads to renewed adoption of lightweight solutions for the identification of the most suitable web services that correspond with the service requests. Contemporary mobile web service discovery approaches are plagued with performance and accuracy problems and are rarely compatible with the DME. The objective of this systematic literature review is to develop a more rigorous understanding and identify recent research trends in mobile web service discovery techniques in a dynamic mobile environment. This review followed the systematic literature review (SLR) guidelines. Essential information was extracted from the 76 relevant articles in line with the formulated questions and finally reported after in-depth analysis. The results of this study discuss the critical contributions and limitations of the proposed approaches.

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