2017 IEEE International Conference on Web Services (ICWS)最新文献_第10页

Web Service Interface Decomposition Using Formal Concept Analysis 使用形式概念分析的Web服务接口分解

2017 IEEE International Conference on Web Services (ICWS) Pub Date : 2017-06-01 DOI: 10.1109/ICWS.2017.30

Marwa Daagi, Ali Ouni, M. Kessentini, M. Gammoudi, S. Bouktif

{"title":"Web Service Interface Decomposition Using Formal Concept Analysis","authors":"Marwa Daagi, Ali Ouni, M. Kessentini, M. Gammoudi, S. Bouktif","doi":"10.1109/ICWS.2017.30","DOIUrl":"https://doi.org/10.1109/ICWS.2017.30","url":null,"abstract":"In the service-oriented paradigm, Web service interfaces are considered contracts between Web service subscribers and providers. The structure of service interfaces has an extremely important role to discover, understand, and reuse Web services. However, it has been shown that service developers tend to pay little care to the design of their interfaces. A common design issue that often appears in real-world Web services is that their interfaces lack cohesion, i.e., they expose several operations that are often semantically unrelated. Such a bad design practice may significantly complicate the comprehension and reuse of the services functionalities and lead to several maintenance and evolution problems. In this paper, we propose a new approach for Web service interface decomposition using a Formal Concept Analysis (FCA) framework. The proposed FCA-based approach aims at identifying the hidden relationships among service operations in order to improve the interface modularity and usability. The relationships between operations are based on cohesion measures including semantic, sequential and communicational cohesion. The identified groups of semantically related operations having common properties are used to define new cohesive and loosely coupled service interfaces. We conducted a quantitative and qualitative empirical study to evaluate our approach on a benchmark of 26 real world Web services provided by Amazon and Yahoo. The obtained results show that our approach can significantly improve Web service interface design quality compared to state-of-the-art approaches.","PeriodicalId":235426,"journal":{"name":"2017 IEEE International Conference on Web Services (ICWS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115717493","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}

引用次数: 18

Learning Transportation Mode Choice for Context-Aware Services with Directed-Graph-Guided Fused Lasso from GPS Trajectory Data 基于GPS轨迹数据的有向图制导融合套索环境感知服务交通方式选择研究

2017 IEEE International Conference on Web Services (ICWS) Pub Date : 2017-06-01 DOI: 10.1109/ICWS.2017.83

Xiaolu Zhu, Jinglin Li, Zhihan Liu, Fangchun Yang

{"title":"Learning Transportation Mode Choice for Context-Aware Services with Directed-Graph-Guided Fused Lasso from GPS Trajectory Data","authors":"Xiaolu Zhu, Jinglin Li, Zhihan Liu, Fangchun Yang","doi":"10.1109/ICWS.2017.83","DOIUrl":"https://doi.org/10.1109/ICWS.2017.83","url":null,"abstract":"Mobility profiles of users play a crucial role in a wide range of context-aware computing and services. Travel mode choice, as a representative feature of mobility profiles, is one of the important components in travel demand and future planning of transportation systems. Transportation mode choice has been widely studied based on the random utility model and decision making methods which haven't considered the correlation among features influencing transportation mode choice. This paper presents a data driven model to analyze transportation mode choice given transportation information. The contributions of this paper lie in the following two aspects. On one hand, we propose a travel mode choice model considering the correlation among influencing features of mode. And the relevant features related to the mode choice are redefined and considered to improve the final efficiency and effectiveness. On the other hand, we propose a directed-graph-guided fused lasso method to depict the correlation rules among features. The lasso method can reduce the redundant information to improve the speed of convergence and accuracy of analysis. Three different models namely standard lasso, graph-guided fused lasso and spatio-functionally weighted regression based models, are compared with our model and tested with the GPS trajectory data in Beijing. As a result, we achieved better performance than other compared models.","PeriodicalId":235426,"journal":{"name":"2017 IEEE International Conference on Web Services (ICWS)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115944630","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}

引用次数: 5

Extracting Fine-Grained Service Value Features and Distributions for Accurate Service Recommendation 为准确的服务推荐提取细粒度服务价值特征和分布

2017 IEEE International Conference on Web Services (ICWS) Pub Date : 2017-06-01 DOI: 10.1109/ICWS.2017.43

Haifang Wang, Xu Chi, Zhongjie Wang, Xiaofei Xu, Shiping Chen

{"title":"Extracting Fine-Grained Service Value Features and Distributions for Accurate Service Recommendation","authors":"Haifang Wang, Xu Chi, Zhongjie Wang, Xiaofei Xu, Shiping Chen","doi":"10.1109/ICWS.2017.43","DOIUrl":"https://doi.org/10.1109/ICWS.2017.43","url":null,"abstract":"With more proliferation of services and higher degree of personalization, higher accurate approaches to service recommendation are becoming more and more pivotal. Performance of existing service recommendation approaches is not satisfactory due to the sparseness of available data set or the incomplete information of the global service market, which make it difficult to identify a customer's potential preferences on available services. In this paper, we extract finegrained value features from customer reviews, and identify the personalized distribution of each value features to demonstrate the value preference of a specific customer. Then, a novel recommendation algorithm (VFDSR) is proposed. An algorithm VFMine based on text mining is presented to effectively extract value features from customer reviews. A VFDAnalysis algorithm based on sentiment analysis is employed to identify the value feature distributions. Based on it, VFDSR recommends top-satisfying services to customers. In addition, the value feature distributions are visualized in the form of \"heatmaps\". Comprehensive experiments are conducted on a Yelp dataset and the experimental results show the superiority of our approach.","PeriodicalId":235426,"journal":{"name":"2017 IEEE International Conference on Web Services (ICWS)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124703604","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}

引用次数: 6

RaaS and Hierarchical Aggregation Revisited 重新审视RaaS和层次聚合

2017 IEEE International Conference on Web Services (ICWS) Pub Date : 2017-06-01 DOI: 10.1109/ICWS.2017.14

R. Ranchal, Sidak Pal Singh, Pelin Angin, A. Mohindra, H. Lei, B. Bhargava

引用次数: 2

A Keyword-Driven Data Service Composition Sequence Generation Approach on Ad-Hoc Data Query 面向自组织数据查询的关键字驱动数据服务组合序列生成方法

2017 IEEE International Conference on Web Services (ICWS) Pub Date : 2017-06-01 DOI: 10.1109/ICWS.2017.110

Xin Chen, Yanbo Han, Yan Wen, Feng Zhang, W. Liu

引用次数: 2

Hierarchical RNN Networks for Structured Semantic Web API Model Learning and Extraction 结构化语义Web API模型学习与提取的分层RNN网络

2017 IEEE International Conference on Web Services (ICWS) Pub Date : 2017-06-01 DOI: 10.1109/ICWS.2017.85

Shengpeng Liu, Ying Li, Guangyu Sun, Binbin Fan, Shuiguang Deng

引用次数: 5

An Approach for Anomaly Diagnosis Based on Hybrid Graph Model with Logs for Distributed Services 基于日志混合图模型的分布式服务异常诊断方法

2017 IEEE International Conference on Web Services (ICWS) Pub Date : 2017-06-01 DOI: 10.1109/ICWS.2017.12

Tong Jia, Pengfei Chen, Lin Yang, Ying Li, Fanjing Meng, Jingmin Xu

引用次数: 50

A Fine-Grained API Link Prediction Approach Supporting Mashup Recommendation 支持Mashup推荐的细粒度API链接预测方法

2017 IEEE International Conference on Web Services (ICWS) Pub Date : 2017-06-01 DOI: 10.1109/ICWS.2017.36

Q. Bao, Jia Zhang, Xiaoyi Duan, R. Ramachandran, Tsengdar J. Lee, Yankai Zhang, Yuhao Xu, Seungwon Lee, L. Pan, P. Gatlin, M. Maskey

引用次数: 5

Visual Configuration for RESTful Mobile Web Mashups RESTful移动Web mashup的可视化配置

2017 IEEE International Conference on Web Services (ICWS) Pub Date : 2017-06-01 DOI: 10.1109/ICWS.2017.109

Marwa Boulakbech, Nizar Messai, Yacine Sam, T. Devogele

引用次数: 8

Linking Design-Time and Run-Time: A Graph-Based Uniform Workflow Provenance Model 链接设计时和运行时:基于图的统一工作流来源模型

2017 IEEE International Conference on Web Services (ICWS) Pub Date : 2017-06-01 DOI: 10.1109/ICWS.2017.21

Xiaoyi Duan, Jia Zhang, Q. Bao, R. Ramachandran, Tsengdar J. Lee, Seungwon Lee, L. Pan

{"title":"Linking Design-Time and Run-Time: A Graph-Based Uniform Workflow Provenance Model","authors":"Xiaoyi Duan, Jia Zhang, Q. Bao, R. Ramachandran, Tsengdar J. Lee, Seungwon Lee, L. Pan","doi":"10.1109/ICWS.2017.21","DOIUrl":"https://doi.org/10.1109/ICWS.2017.21","url":null,"abstract":"Workflow is an important way to mashup reusable software services to create value-added data analytics services. Workflow provenance is core to understand how services and workflows behaved in the past, which knowledge can be used to provide a better recommendation. Existing workflow provenance management systems handle various types of provenance separately. A typical data science exploration scenario, however, calls for an integrated view of provenance and seamless transition among different types of provenance. In this paper, a graph-based, uniform provenance model is proposed to link together design-time and run-time provenance, by combining retrospective provenance, prospective provenance, and evolution provenance. Such a unified provenance model will not only facilitate workflow mining and exploration, but also facilitate workflow interoperability. The model is formalized into colored Petri nets for verification and monitoring management. A SQL-like query language is developed, which supports basic queries, recursive queries, and cross-provenance queries. To verify the effectiveness of our model, A web-based, collaborative workflow prototyping system is developed as a proof-of-concept. Experiments have been conducted to evaluate the effectiveness of the proposed SQL-like graph query against SQL query.","PeriodicalId":235426,"journal":{"name":"2017 IEEE International Conference on Web Services (ICWS)","volume":"168 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128406682","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}

引用次数: 3