This research shows how different educational forms such as schooling and apprenticeship are related to the development of artistic creativity from the interdisciplinary perspective based on educational anthropology of performing arts and management studies. This topic has been insufficiently explored by previous studies in both fields. More specifically, by applying the concept of schoolnization, the research compares two contrasting case studies of Chinese Qin opera and Japanese Nohgaku, based on first-hand data acquired from years of ethnographic research, to formulate a hypothesis on the ideal relationship between the enhancement of artistic creativity and process of career development. The hypothesis serves as a practical analytical framework for future research in the field.
{"title":"A Comparative Analysis on the Relationship Between Artistic Creativity and Career Development in Chinese and Japanese Traditional Performing Arts","authors":"K. Nishio, Takuya Shimizu","doi":"10.4018/ijssoe.304365","DOIUrl":"https://doi.org/10.4018/ijssoe.304365","url":null,"abstract":"This research shows how different educational forms such as schooling and apprenticeship are related to the development of artistic creativity from the interdisciplinary perspective based on educational anthropology of performing arts and management studies. This topic has been insufficiently explored by previous studies in both fields. More specifically, by applying the concept of schoolnization, the research compares two contrasting case studies of Chinese Qin opera and Japanese Nohgaku, based on first-hand data acquired from years of ethnographic research, to formulate a hypothesis on the ideal relationship between the enhancement of artistic creativity and process of career development. The hypothesis serves as a practical analytical framework for future research in the field.","PeriodicalId":272516,"journal":{"name":"International Journal of Systems and Service-Oriented Engineering","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121768645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
CODVerif is an approach that aims to verify the data being inserted in a data store continuously. CODVerif leverages the combination of ontology and workflow technologies in order to define workflows that are specific to the domain of “monitoring data insertion.” These domain-specific workflows are constrained on two dimensions: (1) They use a set of workflow elements that are specific to the “monitoring data insertion” domain. (2) The logic that these workflows support is predefined by relying on a set of common data insertion scenarios. Nevertheless, CODVerif is flexible enough to allow users to define continuous data verification workflows with higher complexity logic thanks to workflow operators that can be applied on the “monitoring data insertion domain”-specific workflows. To illustrate the applicability of CODVerif, the authors deploy it in a customer relationship management (CRM) application and show how CODVerif is used to support users to verify the data they populate in the CRM. They have also evaluated the CODVerif approach.
{"title":"CODVerif","authors":"Malik Khalfallah, P. Ghodous","doi":"10.4018/ijssoe.315582","DOIUrl":"https://doi.org/10.4018/ijssoe.315582","url":null,"abstract":"CODVerif is an approach that aims to verify the data being inserted in a data store continuously. CODVerif leverages the combination of ontology and workflow technologies in order to define workflows that are specific to the domain of “monitoring data insertion.” These domain-specific workflows are constrained on two dimensions: (1) They use a set of workflow elements that are specific to the “monitoring data insertion” domain. (2) The logic that these workflows support is predefined by relying on a set of common data insertion scenarios. Nevertheless, CODVerif is flexible enough to allow users to define continuous data verification workflows with higher complexity logic thanks to workflow operators that can be applied on the “monitoring data insertion domain”-specific workflows. To illustrate the applicability of CODVerif, the authors deploy it in a customer relationship management (CRM) application and show how CODVerif is used to support users to verify the data they populate in the CRM. They have also evaluated the CODVerif approach.","PeriodicalId":272516,"journal":{"name":"International Journal of Systems and Service-Oriented Engineering","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123451881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
When selecting web services, users look for those that meet their requirements, primarily the overall functionality and non-functionality quality of service (QoS). In general, various service providers offer a large number of functionally similar services. That makes it very hard for users to find the best ones that satisfy their needs. Thus, service selection based on QoS has emerged as a challenging problem in service computing. So, the authors propose in this paper a web service selection method based on QoS prediction for clustering and ranking services using auto-encoder and k-means. Experiment results show that the proposed method efficiently improves the services' selection accuracy.
{"title":"Web Service Selection Based on QoS Prediction for Clustering and Ranking Services Using Auto-Encoder and K-Means","authors":"F. Merabet, Djamel Benmerzoug","doi":"10.4018/ijssoe.315605","DOIUrl":"https://doi.org/10.4018/ijssoe.315605","url":null,"abstract":"When selecting web services, users look for those that meet their requirements, primarily the overall functionality and non-functionality quality of service (QoS). In general, various service providers offer a large number of functionally similar services. That makes it very hard for users to find the best ones that satisfy their needs. Thus, service selection based on QoS has emerged as a challenging problem in service computing. So, the authors propose in this paper a web service selection method based on QoS prediction for clustering and ranking services using auto-encoder and k-means. Experiment results show that the proposed method efficiently improves the services' selection accuracy.","PeriodicalId":272516,"journal":{"name":"International Journal of Systems and Service-Oriented Engineering","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130623753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Automatic Summarization is one of the very important tasks that are performed to improve the searching experience in the internet world. Software Repositories are one of the greatest sources of information for the software development community as it contains varied information like the team behavior, intentions, emotions, the bugs, the project style, project management information, etc. The paper is an extension to the previous work where we have used just the feature-based technique to generate the summary for the Bug Reports. Here in this paper, we have used machine-learning approaches along with the Features to find out how the results vary. For the machine learning approaches, as there are many approaches which are available, we use the very popular approaches KNN, CART, NB and SVM for the observation. We observed that when the machine learning approaches are integrated with the feature-based approach, the results improve.
{"title":"Sentence Extraction using Machine Learning Algorithms for Bug Reports","authors":"","doi":"10.4018/ijssoe.300784","DOIUrl":"https://doi.org/10.4018/ijssoe.300784","url":null,"abstract":"Automatic Summarization is one of the very important tasks that are performed to improve the searching experience in the internet world. Software Repositories are one of the greatest sources of information for the software development community as it contains varied information like the team behavior, intentions, emotions, the bugs, the project style, project management information, etc. The paper is an extension to the previous work where we have used just the feature-based technique to generate the summary for the Bug Reports. Here in this paper, we have used machine-learning approaches along with the Features to find out how the results vary. For the machine learning approaches, as there are many approaches which are available, we use the very popular approaches KNN, CART, NB and SVM for the observation. We observed that when the machine learning approaches are integrated with the feature-based approach, the results improve.","PeriodicalId":272516,"journal":{"name":"International Journal of Systems and Service-Oriented Engineering","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133441208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the rapid development of Cloud Computing and Service Oriented Computing, the process of selecting web services which gives the same functionality with different quality of service (QoS) become an important issue. To deal with the large number of Web services candidates, K-representative Skyline is appeared as a Skyline variant to find the short list of the most relevant Web services that represent a summary about the full skyline Web services result. However, it returns generally a conflicting result. To rank-order K-representative Skyline Web Services, we propose an improved Fuzzy AHP which allows to: i) elicit the QoS importance level using linguistic terms based on natural language, asking fewer efforts to users, ii) reduce the number of inputs and generate automatically all pair-wise matrix of Skyline Web services with respect to each attribute. The experimental evaluation conducted on real world dataset illustrates the feasibility and the effectiveness of our framework in comparison with existing works.
随着云计算和面向服务计算的快速发展，如何选择具有不同服务质量(QoS)却具有相同功能的web服务成为一个重要问题。为了处理大量的Web服务候选者，k代表的Skyline作为Skyline的变体出现，以查找最相关的Web服务的简短列表，这些Web服务表示有关完整Skyline Web服务结果的摘要。然而，它通常返回一个相互冲突的结果。为了对有k个代表的Skyline Web Services进行排序，我们提出了一种改进的模糊层次分析法(Fuzzy AHP)，它允许:i)使用基于自然语言的语言术语引出QoS重要性水平，减少用户的工作量;ii)减少输入的数量，并根据每个属性自动生成Skyline Web Services的所有对向矩阵。在真实数据集上进行的实验评估与现有工作的对比表明了我们的框架的可行性和有效性。
{"title":"An Integrated Framework for More Efficient Web Services Selection Using an Improved Fuzzy AHP","authors":"Abdelaziz Ouadah","doi":"10.4018/ijssoe.304364","DOIUrl":"https://doi.org/10.4018/ijssoe.304364","url":null,"abstract":"With the rapid development of Cloud Computing and Service Oriented Computing, the process of selecting web services which gives the same functionality with different quality of service (QoS) become an important issue. To deal with the large number of Web services candidates, K-representative Skyline is appeared as a Skyline variant to find the short list of the most relevant Web services that represent a summary about the full skyline Web services result. However, it returns generally a conflicting result. To rank-order K-representative Skyline Web Services, we propose an improved Fuzzy AHP which allows to: i) elicit the QoS importance level using linguistic terms based on natural language, asking fewer efforts to users, ii) reduce the number of inputs and generate automatically all pair-wise matrix of Skyline Web services with respect to each attribute. The experimental evaluation conducted on real world dataset illustrates the feasibility and the effectiveness of our framework in comparison with existing works.","PeriodicalId":272516,"journal":{"name":"International Journal of Systems and Service-Oriented Engineering","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132054101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-01DOI: 10.4018/ijssoe.20210701.oa1
Ji Liu, Shiping Chen, Hang Zhao, Jiyuan Yang, Yu Shi, Ruiqiang Li, Dong Yuan
Despite the enormous number of online docking services available, consumers sometimes struggle to discover the services they require from time to time. On the other hand, when finding matching or recommendation platforms from an academic or industry perspective, most of the related work they can find is centralized systems. Unfortunately, the centralized systems often have shortages, such as adv-driven, lack of trust, non-transparency, and unfairness. The authors propose a peer-to-peer (P2P) service network for service discovery and recommendation. ServiceNet is a blockchain-based service ecosystem that promises to provide an open, transparent, self-growing, and self-managing service environment. The article will provide the basic concept, the proto-architecture type's design, and the proto-initial type's implementation and performance assessment.
{"title":"ServiceNet","authors":"Ji Liu, Shiping Chen, Hang Zhao, Jiyuan Yang, Yu Shi, Ruiqiang Li, Dong Yuan","doi":"10.4018/ijssoe.20210701.oa1","DOIUrl":"https://doi.org/10.4018/ijssoe.20210701.oa1","url":null,"abstract":"Despite the enormous number of online docking services available, consumers sometimes struggle to discover the services they require from time to time. On the other hand, when finding matching or recommendation platforms from an academic or industry perspective, most of the related work they can find is centralized systems. Unfortunately, the centralized systems often have shortages, such as adv-driven, lack of trust, non-transparency, and unfairness. The authors propose a peer-to-peer (P2P) service network for service discovery and recommendation. ServiceNet is a blockchain-based service ecosystem that promises to provide an open, transparent, self-growing, and self-managing service environment. The article will provide the basic concept, the proto-architecture type's design, and the proto-initial type's implementation and performance assessment.","PeriodicalId":272516,"journal":{"name":"International Journal of Systems and Service-Oriented Engineering","volume":"342 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124311931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-04-01DOI: 10.4018/978-1-5225-9282-2.ch037
E. See-To, Pablo Alejandre Del Rio, Kevin K. W. Ho
Social networking sites SNSs such as Facebook and Twitter are emerging as major communication channels for organizations looking for new ways of customer engagement. Although this new scenario is h...
{"title":"Social Media Effects in Virtual Brand Communities","authors":"E. See-To, Pablo Alejandre Del Rio, Kevin K. W. Ho","doi":"10.4018/978-1-5225-9282-2.ch037","DOIUrl":"https://doi.org/10.4018/978-1-5225-9282-2.ch037","url":null,"abstract":"Social networking sites SNSs such as Facebook and Twitter are emerging as major communication channels for organizations looking for new ways of customer engagement. Although this new scenario is h...","PeriodicalId":272516,"journal":{"name":"International Journal of Systems and Service-Oriented Engineering","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124823371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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