Forthcoming articles

International Journal of Web Engineering and Technology

International Journal of Web Engineering and Technology (IJWET)

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International Journal of Web Engineering and Technology (11 papers in press)

Regular Issues

  • Using Timed and Coloured Petri nets for Modeling, Simulation, and Analysis of Integration Solutions
    by Francine Freddo 
    Abstract: Enterprise application integration (EAI) is a research field that seeks to develop methodologies, techniques and tools for the design and development of integration solutions. The software ecosystems of companies are composed of several heterogeneous applications, usually obtained from third parties or developed internally and adapted for their business processes. In this context, the main challenge faced by companies is that most of their applications were not designed considering integration with other applications. In this work, we propose to develop a mathematical model to simulate integration solutions in the design phase, i.e., before the implementation and testing stages. The aim of this simulation is to analyse the behaviour and identify the possible performance bottlenecks of the application integration solutions. In this way, it is possible to identify problems prior to the implementation and testing stages, in order to reduce costs, risks and time. A conceptual model of the integration solution designed using Guaran
    Keywords: Enterprise Application Integration; Coloured Petri nets; Timed Petri nets; Discrete-event Simulation.

  • Analysing the characteristics of crowdsourcing platforms for improving throughput
    by Ayswarya R. Kurup 
    Abstract: Crowdsourcing leverages human intelligence to gather solutions on tasks that cannot be accomplished by automated tools. This system consists of components such as the requester, task, worker and the crowdsourcing platform. Studies do not explore the various features of these components and the dependencies among the same. Hence, we analyse the characteristics of the components of crowdsourcing systems using a trace- driven approach. Additionally, for reproducible research, we have introduced a workload generator for crowdsourcing platforms, which generates an unbiased workload similar to the empirical workload. Finally, the impact of various characteristics on the quality of answers has been analysed using both the empirical and synthetic workloads. The results demonstrate that success rate and activeness positively a ect the productivity of workers, while the number of available Human Intelligence Tasks (HITs) and the time duration of the same a ect the productivity on each task.
    Keywords: Crowdsourcing; behavioural analysis; probability distribution; workload generation.

  • From User Generated Content to Social Data Warehouse: Processes, Operations and Data Modeling
    by Afef Walha 
    Abstract: Social Data Warehouse (SDW) combines corporate data with User-Generated Content (UGC) to improve decision maker analysis. UGC data are heterogeneous, unstructured and informal. Their mapping into meaningful and valuable information has recently become a hot topic in Social Business Intelligence. It is established through specific Extraction, Transformation and Loading (ETL) processes during SDW development. Our main focus, in this work, is on ETL design and the issues emerging when UGC semantic analysis is integrated into SDW modeling. In fact, the complexity of ETL modeling is managed by partitioning its aspects into: processes, operations and data models. Besides, ETL4Social architecture is organized in three layers: meta-modeling, modeling and instantiation. The proposed meta-models concentrate both on the conceptual structures and the notations used in ETL4Social design. Their accuracy is shown through an illustrative example entailing generic models mapping UGC into SDW. These models are implemented in ETL4SocialTool, helping the designer to model complex ETL scenario.
    Keywords: Social Media; Data Warehouse; User-generated Content; ETL Design; Meta-Model; Model; BPMN; Data Flow; Data Process; Semantic Analysis.

  • A Model-Driven Approach for the Verification of an Adaptive Service Composition
    by Sara Zatout 
    Abstract: The development of Web service compositions is a complex task that needs coherent mechanisms in order to maintain the quality of the provided business process and to satisfy user needs. This paper proposes a development process of an adaptable composed Web service and mainly focuses on the reliability and the performance properties. It explores the Model Driven Architecture transformation technique in order to formally model the whole service orchestration using the Timed Coloured Petri Net formalism. The software CPN Tools offers, among others, the ASK-Computational Tree Logic, the Model Checking technique and several monitors that will be exploited to describe and verify different properties at design time. They will also be used via Access/CPN library in order to reason about the reconfiguration technique at runtime. An example of an identity card management process is given to prove the feasibility of the proposed solution.
    Keywords: Adaptive composition; Timed Coloured Petri Nets; Formal Verification; MDA; Reliability; Performance.

  • Flexible service discovery based on multiple matching algorithms
    by Fethallah Hadjila, Amine Belabed, Mohammed Merzoug 
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  • Air Quality Meteorological and Environmental Information System in Western Macedonia, Hellas
    by Ioannis A. Skordas, Athanassios G. Triantafyllou, George F. Fragulis 
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  • A linguistic approach to short sentences keywords identification for a question answering system
    by Denis Araujo, Sandro Rigo, Bruna Schmitt, Alencar Hentges 
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  • Semantic Enrichment of Web Services using Linked Open Data
    by Houda El Bouhissi, Abdelbadeeh Salem, Abdelkamel Tari 
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  • Generating Creative Ideas for New Product Development in Frugal Innovation: A Hybrid Technique of TRIZ Contradiction Matrix and Morphological Analysis
    by Zhenfeng Liu, Jinfeng Wang, Lijie Feng 
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  • Two Phase Pickup Vehicle Routing Based on the K-means++ and Genetic Algorithms
    by Huan Zhao 
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  • A Secure VM Allocation Scheme to Preserve against Co-Resident Threat
    by Sakshi Chhabra, Ashutosh Kumar Singh 
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