Software as a Service, Semantic Web, and Big Data

Kasemsap, Kijpokin

doi:10.4018/978-1-5225-1721-4.ch011

Cited by 17 publications

(1 citation statement)

References 126 publications

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“…Dewanta et al [ 10 ] presented the fog computing service for establishing the trust in the vehicular system based on the blockchain framework. Kasemsap et al [ 11 ] presented cloud computing techniques and overview based on the big data and semantic analysis.…”

Section: Related Workmentioning

confidence: 99%

A Framework of Vehicular Security and Demand Service Prediction Based on Data Analysis Integrated with Blockchain Approach

Shahbazi

Byun

2021

Sensors

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The prediction of taxi demand service has become a recently attractive area of research along with large-scale and potential applications in the intelligent transportation system. The demand process is divided into two main parts: Picking-up and dropping-off demand based on passenger habit. Taxi demand prediction is a great concept for drivers and passengers, and is designed platforms for ride-hailing and municipal managers. The majority of research has focused on forecasting the pick-up part of demand service and specifying the interconnection of spatial and temporal correlations. In this study, the main focus is to overcome the access point of non-registered users for having fake transactions using taxi services and predicting taxi demand pick-up and drop-off information. The integration of machine learning techniques and blockchain framework is considered a possible solution for this problem. The blockchain technique was selected as an effective technique for protecting and controlling the real-time system. Historical data analysis was processed by extracting the three higher related sections for the intervening time, namely closeness and trend. Next, the pick-up and drop-off taxi prediction task was processed based on constructing the components of multi-task learning and spatiotemporal feature extraction. The combination of feature embedding performance and Long Short-Term Memory (LSTM) obtain the pick-up and drop-off correlation by fusing the historical data spatiotemporal features. Finally, the taxi demand pick-up and drop-off prediction were processed based on the combination of the external factors. The experimental result is based on a real dataset in Jeju Island, South Korea, to show the proposed system’s efficacy and performance compared with other state-of-art models.

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Section: Related Workmentioning

confidence: 99%

A Framework of Vehicular Security and Demand Service Prediction Based on Data Analysis Integrated with Blockchain Approach

Shahbazi

Byun

2021

Sensors

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A model‐driven approach for semantic web service modeling using web service modeling languages

Mohseni

Sohrabi

Dorrigiv

2021

J Software Evolu Process

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The service-oriented software engineering approach has been increasingly utilized to design and develop complex distributed systems. Exploiting semantic web technologies to increase utilization of the web services at the semantic level leads to create semantic web services (SWSs). This paper proposes a model-driven architecture (MDA) to model the SWS and to transform it from a high-level modeling language, such as the Unified Modeling Language (UML), to a low-level semantic description, such as the Web Service Modeling Language (WSML). To annotate all aspects of the SWS, a UML profile is provided by extending the UML metamodel. Some stereotypes and tagged values are also defined to support WSML. Therefore, the structure aspects of the SWS are modeled with a class diagram based on stereotypes that are defined in the UML profile. The logical and behavioral aspects of the SWS are modeled and expressed using activity diagrams, sequence diagrams, and Object Constraint Language (OCL). Experimental results show that the proposed approach not only increases the level of independence, accuracy, expressiveness, understandability, and machine processability but also significantly reduces the complexity and heterogeneity. Moreover, the proposed method is also evaluated in comparison with the previous methods of the literature, and the results will show that the proposed method outperforms the other methods in terms of expressiveness, understandability, scalability, level of independence, and accuracy. K E Y W O R D Smodel-driven approach, semantic web services, UML profile, web service modeling language | INTRODUCTIONWeb services are web-based applications that transmit and exchange data with other applications through standard protocols. A web service can also be considered as a part of a program that communicates through web-based protocols and continues to work without any external program.Web services can be used by the programmers through the web, and their primary platform is based on HTTP and XML. Web service composition has been emerged to respond to the needs of the users to utilize more complex web services. The simple web services can be combined to construct appropriate services for more complex applications. Proper descriptions of the web services are needed to be used in their optimal composition. 1 A meaningful and formal web service description is machine processable and leads to facilitate automatic search and combination of the web services. Semantic web service (SWS) is a good choice for an appropriate description of the web services.In recent years, the popularity of the SWSs has been significantly increased and web service providers have attempted to semantically annotate and describe their traditional services. 2,3 Hence, the design and implementation of such services are very important for service developers and designers. Current SWS languages, such as Ontology Web Language for services (OWL-S), Web Service Modeling Language (WSML), and

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A Look at Semantic Web Technology and the Potential Semantic Web Search in the Modern Era

França

Monteiro

Arthur

et al. 2021

Semantic IoT: Theory and Applications

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Software as a Service, Semantic Web, and Big Data

Cited by 17 publications

References 126 publications

A Framework of Vehicular Security and Demand Service Prediction Based on Data Analysis Integrated with Blockchain Approach

A Framework of Vehicular Security and Demand Service Prediction Based on Data Analysis Integrated with Blockchain Approach

A model‐driven approach for semantic web service modeling using web service modeling languages

A Look at Semantic Web Technology and the Potential Semantic Web Search in the Modern Era

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