Cross-Language Semantic Web Service Discovery to Improve the Selection Mechanism by using Data Mining Techniques

Eldin, Ahmed Sharaf; Khedr, Ayman E.; Al-sharif, Fahad Kamal

doi:10.5120/19289-0713

Cited by 4 publications

(1 citation statement)

References 15 publications

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“…However, UTAUT model can explain the use intention and use behavior in the model up to 70 percent, which is obviously better than the traditional model. Thus, the UTAUT model is suitable for the study of TAM (Sharafeldin et al, 2015). In addition, this paper makes some extensions to the UTAUT model and adds three new variables: individual innovation, perceived risk and product awareness, and tests whether new variables have an impact on purchase intention.…”

Section: Methodsmentioning

confidence: 99%

An empirical examination of UTAUT model and social network analysis

Hao

2019

LHT

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Purpose The purpose of this paper is to ensure the sustainability of the competitive advantages of internet financial enterprises. In recent years, driven by the two wheels of financial market and information technology, the internet finance has experienced an extremely rapid development. Design/methodology/approach Based on the performance expectation, effort expectation, social influence and purchase intention of UTAUT model, an empirical examination was conducted. Specifically, the authors made the user purchasing behavior as the dependent variable and added some new factors such as perceived risk, individual innovation and product cognition as the independent variables in the model, and they also added user gender and experience as regulated variables, so as to study the impact factors that affect the purchasing behavior. In addition, the authors also studied the impact of social network friend recommendations on consumers’ willingness to purchase. Findings The research results showed that effort expectation, performance expectancy, effort expectancy, purchase intention, awareness and individual innovation have a positive effect on the behavior of buying financial products, whereas the perceived risk has a negative effect on the behavior of buying internet financial products. Additionally, in the context of social networking, social network friend recommendations have a positive impact on consumers’ willingness to purchase. Research limitations/implications This paper is based on the integrated technology acceptance model, which makes the user purchasing behavior as the dependent variable and adds some new factors such as perceived risk, individual innovation and product cognition as the independent variables. However, the research on recommendation between social network friends is not deep enough, so further improvement is needed. Practical implications This study can enrich the existing theories on the interpretation of the intention of using internet financial products, help internet financial enterprises understand user behavior and demands better, and improve service quality and customer satisfaction. Originality/value This study provides an empirical examination of UTAUT model and social network analysis.

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Section: Methodsmentioning

confidence: 99%

An empirical examination of UTAUT model and social network analysis

Hao

2019

LHT

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Web Service Recommendation System using History and Quality of Service

Sullivan

Candra

2019

2019 International Conference on Data and Software Engineering (ICoDSE)

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Semantic - based service discovery in grid environment

Shang

2020

IFS

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In the process of informatization, there are also some new problems, mainly information can’t be shared and integrated, distributed resources can’t be used effectively, these problems make the industry face new challenges. The goal of this paper is to combine the grid technology and ontology organically, to build a unified information system integration and interoperation platform based on semantics, to realize information sharing and accelerate the pace of informatization. The method is to construct the whole structure of the system according to the actual needs of the system. This paper firstly analyzes the current research status and existing problems of semantic grid service matching, and proposes a semantic layered matching algorithm based on Massimo Paolucci elastic matching algorithm. To verify the feasibility and effectiveness of the hierarchical matching algorithm based on semantics, a prototype system named SGSM was designed and its functional model, matching process and performance were studied. Experimental results show that for the semantic-based hierarchical matching algorithm proposed in this paper, the threshold value of service semantic correlation degree is 0.84, the threshold value of service basic concept matching degree is 0.89, the threshold value of service comprehensive similarity degree is 0.66, and the threshold value of service quality matching degree is 0.78. Statistics through the experiment, the above three methods of recall, respectively, 33%, 62%, 85%, the precision is respectively: 29%, 57%, 88%, and illustrate the hierarchical matching algorithm based on semantic is feasible in practical application, compared with the traditional service based on keyword matching algorithm and Massimo Paolucci elastic matching algorithm on the recall and precision are improved significantly.

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Cross-Language Semantic Web Service Discovery to Improve the Selection Mechanism by using Data Mining Techniques

Cited by 4 publications

References 15 publications

An empirical examination of UTAUT model and social network analysis

An empirical examination of UTAUT model and social network analysis

Web Service Recommendation System using History and Quality of Service

Semantic - based service discovery in grid environment

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