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2021 International Conference on Service Science (ICSS)最新文献

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A blockchain-based evidential and secure bulk-commodity supervisory system 基于区块链的证据和安全大宗商品监管系统
2021 International Conference on Service Science (ICSS) Pub Date : 2021-05-01 DOI: 10.1109/ICSS53362.2021.00009
Junxiong Lin, Yajing Xu, Zhihui Lu, Jie Wu, Houhao Ye, W. Huang, Xuzhao Chen
{"title":"A blockchain-based evidential and secure bulk-commodity supervisory system","authors":"Junxiong Lin, Yajing Xu, Zhihui Lu, Jie Wu, Houhao Ye, W. Huang, Xuzhao Chen","doi":"10.1109/ICSS53362.2021.00009","DOIUrl":"https://doi.org/10.1109/ICSS53362.2021.00009","url":null,"abstract":"In recent years, the commodities industry has grown rapidly under the stimulus of domestic demand and the expansion of cross-border trade. It has also been combined with the rapid development of e-commerce technology in the same period to form a flexible and efficient e-commerce system for bulk commodities. However, the hasty combination of both has inspired a lack of effective regulatory measures in the bulk industry, leading to constant industry chaos. Among them, the problem of lagging evidence in regulatory platforms is particularly prominent. Based on this, we design a blockchain-based evidential and secure bulk-commodity supervisory system (abbr. BeBus). Setting different privacy protection policies for each participant in the system, the solution ensures effective forensics and tamper-proof evidence to meet the needs of the bulk business scenario.","PeriodicalId":284026,"journal":{"name":"2021 International Conference on Service Science (ICSS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130662961","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: 1
Summarizing RDF graphs using Node Importance and Query History 使用节点重要性和查询历史总结RDF图
2021 International Conference on Service Science (ICSS) Pub Date : 2021-05-01 DOI: 10.1109/ICSS53362.2021.00016
Jimao Guo, Yi Wang
{"title":"Summarizing RDF graphs using Node Importance and Query History","authors":"Jimao Guo, Yi Wang","doi":"10.1109/ICSS53362.2021.00016","DOIUrl":"https://doi.org/10.1109/ICSS53362.2021.00016","url":null,"abstract":"RDF graphs have been widely used in various cognitive and intelligent services in industry. Recent tremendous growth in knowledge base data volumes has made searching and querying RDF graphs increasingly difficult. Summarization is an effective solution for managing large RDF graphs by extracting critical data into summary graphs. Improving the accuracy of the summary relative to the original graph and the relevance to actual user demands improves the efficiency and usefulness of the queries against the summary. In this paper, we present a hybrid summarization method that takes into account both the graph structure and user query history. Specifically, we define a hybrid metric of node importance that captures both the structural importance and user query preferences. We propose two algorithms to extract summaries of a given RDF graph based on this hybrid metric. We evaluate our approach in experiments using three public datasets (DBpedia, YAGO, and Freebase), and the results demonstrate the efficiency of our approach.","PeriodicalId":284026,"journal":{"name":"2021 International Conference on Service Science (ICSS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123320208","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: 0
An Intention Tree based Model for Social Needs 基于意向树的社会需求模型
2021 International Conference on Service Science (ICSS) Pub Date : 2021-05-01 DOI: 10.1109/ICSS53362.2021.00011
Du Rong, Hanchuan Xu, Junrui Tian, Nan Li, Zhiying Tu, Zhongjie Wang
{"title":"An Intention Tree based Model for Social Needs","authors":"Du Rong, Hanchuan Xu, Junrui Tian, Nan Li, Zhiying Tu, Zhongjie Wang","doi":"10.1109/ICSS53362.2021.00011","DOIUrl":"https://doi.org/10.1109/ICSS53362.2021.00011","url":null,"abstract":"With the application of more and more new technologies, such as cloud computing, IoT, and big data, the available intelligent service scenarios become complex. For better service identification and recommendation, conversational AI bots need to construct user needs expression models accurately. Most traditional user needs expression models could do better in individual tasks but nearly not support the social requirements. To solve the challenge before, this study expands the Intention Tree Model for Personal Needs(ITM-PN) to the Intention Tree Model for Social Needs based on Negotiation(ITM-SN) to model different users’ needs during the process of multi-user negotiation(initial, processing, ending). And finally, this study conducted a case study to prove the ITM-SN is thoroughly and effectively, which could be widely applicable in many fields.","PeriodicalId":284026,"journal":{"name":"2021 International Conference on Service Science (ICSS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133836944","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: 0
Event Attention Network for Stock Trend Prediction 股票趋势预测的事件关注网络
2021 International Conference on Service Science (ICSS) Pub Date : 2021-05-01 DOI: 10.1109/ICSS53362.2021.00019
Hongyu Jiang, Chunyang Ye, Shanyan Lai, Hui Zhou
{"title":"Event Attention Network for Stock Trend Prediction","authors":"Hongyu Jiang, Chunyang Ye, Shanyan Lai, Hui Zhou","doi":"10.1109/ICSS53362.2021.00019","DOIUrl":"https://doi.org/10.1109/ICSS53362.2021.00019","url":null,"abstract":"Different news events have different effects on stock price changes. If they are simply fed to the neural network for prediction, the accuracy will be affected. We propose a method to predict stock price trend based on time series news information. First, we extract events from news text and represent them as dense vectors by event embedding technique. Further-more, we employ attention mechanism to figure out event is the main cause of the price fluctuation. Then, we use a Gated Recurrent Unit to model the influence of events on stock market. Experimental results show that our model achieve a certain improvement on S&P500 index compared to baseline methods.","PeriodicalId":284026,"journal":{"name":"2021 International Conference on Service Science (ICSS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133106375","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: 0
Blockchain based Data Sharing for User Experience Driven Slice SLA Guarantee 基于区块链的用户体验驱动片SLA保证数据共享
2021 International Conference on Service Science (ICSS) Pub Date : 2021-05-01 DOI: 10.1109/ICSS53362.2021.00010
K. Wang, Bo Yang, Li Su, Yushuang Hu
{"title":"Blockchain based Data Sharing for User Experience Driven Slice SLA Guarantee","authors":"K. Wang, Bo Yang, Li Su, Yushuang Hu","doi":"10.1109/ICSS53362.2021.00010","DOIUrl":"https://doi.org/10.1109/ICSS53362.2021.00010","url":null,"abstract":"In 5G network, NWDAF (network data analysis function) carries out intelligent modeling based on user experience data and network parameters to support SLA (Service Level Agreement) guarantee. In order to ensure the generalization and long-term applicability of the AI (artificial intelligence) model, network slicing data sharing among multiple parties is needed to help build effective and comprehensive modeling data collection and improve the quality of AI modeling and SLA guarantee with advantage of lower network cost. Based on this, the paper proposes a solution of slice data sharing within the alliance based on blockchain for user experience-driven slice SLA guarantee. The network slicing related data required for NWDAF modeling is provided to and maintained in the blockchain by alliance members. This matches the relationship between 5G stakeholders and helps to improve the authenticity, integrity, privacy and quality of shared data, so as to support NWDAF to train AI model efficiently and accurately, and then improve SLA guarantee level of network slice. The paper also carries out experimental design and optimization direction analysis.","PeriodicalId":284026,"journal":{"name":"2021 International Conference on Service Science (ICSS)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121837853","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: 2
An Effective Deep Learning Approach for Personalized Advertisement Service Recommend 个性化广告服务推荐的有效深度学习方法
2021 International Conference on Service Science (ICSS) Pub Date : 2021-05-01 DOI: 10.1109/ICSS53362.2021.00023
Chunshan Li, Yaning Kong, Xuequan Zhou, Hua Zhang, Xiaodong Zhang, Chuhui Geng, Dianhui Chu, Xiaolin Wu
{"title":"An Effective Deep Learning Approach for Personalized Advertisement Service Recommend","authors":"Chunshan Li, Yaning Kong, Xuequan Zhou, Hua Zhang, Xiaodong Zhang, Chuhui Geng, Dianhui Chu, Xiaolin Wu","doi":"10.1109/ICSS53362.2021.00023","DOIUrl":"https://doi.org/10.1109/ICSS53362.2021.00023","url":null,"abstract":"Personalized advertisement service recommend represents one of the largest scales and most sophisticated industrial recommendation systems. The key challenge of advertisement recommend is to find relevant users for a specific advertisement. Traditional recommendation approaches suffered from selecting effective features on both advertisements and user profiles. In this paper, we studied a deep neural network to learning effective representation on advertisement recommend. Specifically, we connected one user profile features and one advertisement features together as one input vector, and then employed deep neural network to predict the whether the user is relevant to the advertisement. We conducted our experiments on Tencent advertising competition data set, and the experiment results show that (1) the DNN method obtained better predictive performance than traditional approaches; (2) the DNN method with 6 layers hidden nodes achieved best performance; (3) the single-perception method overcame the multi-perceptron method on Advertisement Recommend.","PeriodicalId":284026,"journal":{"name":"2021 International Conference on Service Science (ICSS)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128250333","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: 1
The Segmentation and Reconstruction Method of Business Process BPMN under Constraint Conditions 约束条件下业务流程BPMN的分割与重构方法
2021 International Conference on Service Science (ICSS) Pub Date : 2021-05-01 DOI: 10.1109/ICSS53362.2021.00015
Shenghui Qin, Zhuofeng Zhao, Jianhua Su, Zhongguo Yang
{"title":"The Segmentation and Reconstruction Method of Business Process BPMN under Constraint Conditions","authors":"Shenghui Qin, Zhuofeng Zhao, Jianhua Su, Zhongguo Yang","doi":"10.1109/ICSS53362.2021.00015","DOIUrl":"https://doi.org/10.1109/ICSS53362.2021.00015","url":null,"abstract":"Business process model and notation BPMN2.0 is an industry standard in the field of business process management. In order not to destroy the association rules between the various tasks of the business process, and to schedule them in the cloudedge environment, improve the service quality of the business process, this paper proposes a method of segmentation and reconstruction of the BPMN2.0 model, based on the BMPN2.0 model of the original business process and its constraints of the cloud-edge environment, the original business process is divided and reconstructed into multiple sub-business processes, so that the reconstructed sub-business process conforms to the BPMN2.0 modeling standard and is actually usable, providing basis for the scheduling of business processes in the cloud-edge environment. Through example verification and experimental analysis, the effectiveness of the segmentation reconstruction method in this paper is verified.","PeriodicalId":284026,"journal":{"name":"2021 International Conference on Service Science (ICSS)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125613138","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: 0
Meta-process: a noval approach for decentralized execution of process 元流程:一种分散执行流程的新方法
2021 International Conference on Service Science (ICSS) Pub Date : 2021-05-01 DOI: 10.1109/ICSS53362.2021.00014
Lei Fang, Zhongguo Yang, Shenghui Qin, Mingzhu Zhang, Sikandar Ali, Zhuofeng Zhao
{"title":"Meta-process: a noval approach for decentralized execution of process","authors":"Lei Fang, Zhongguo Yang, Shenghui Qin, Mingzhu Zhang, Sikandar Ali, Zhuofeng Zhao","doi":"10.1109/ICSS53362.2021.00014","DOIUrl":"https://doi.org/10.1109/ICSS53362.2021.00014","url":null,"abstract":"With the rapid growth of internet usage for enterprise-wide and cross-enterprise business applications (such as those in Electronic Commerce), workflow systems are gaining importance as an infrastructure for automating inter-organizational interactions. However, the traditional centralized workflow management technology can no longer meet the needs of current application services. For example, in e-commerce, cross-enterprise business applications may cause many security problems and cross-domain problems in the implementation of workflow. At the same time, due to the uncertainty and variability of environment and user requirements in practical applications, many business logics are difficult to be completely defined in advance. Therefore workflow models need to be immediately built or adjusted dynamically. Nowadays, distributed scheduling and decentralized control of workflow have become the emerging trend and are facing many challenges at the forefront of Internet development technology. In this paper, a distributed workflow control execution method based on “meta-process” is proposed. Specifically, we designed and implemented a decentralized distributed scheduling management system for workflow tasks. To manage and control the distributed scheduling of workflow, we constructed a “meta-process”, which can ensure the integrity of the control chain in the distributed scheduling process. Our system can efficiently handle the data state migration between task nodes and supports the dynamic adjustment of the workflow model. For validation, we simulated a large number of service scheme samples and applied them to the system, which proved that all service cases can be executed correctly. Therefore, the feasibility of this method is verified.","PeriodicalId":284026,"journal":{"name":"2021 International Conference on Service Science (ICSS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129624945","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: 1
[Copyright notice] (版权)
2021 International Conference on Service Science (ICSS) Pub Date : 2019-03-01 DOI: 10.1109/itnec.2019.8729010
{"title":"[Copyright notice]","authors":"","doi":"10.1109/itnec.2019.8729010","DOIUrl":"https://doi.org/10.1109/itnec.2019.8729010","url":null,"abstract":"","PeriodicalId":284026,"journal":{"name":"2021 International Conference on Service Science (ICSS)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128159885","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: 0
[Title page i] [标题页i]
2021 International Conference on Service Science (ICSS) Pub Date : 2019-02-01 DOI: 10.1109/ddecs.2019.8724646
G. Chew, D. Huang, C. Huo, T. Blick, P. Hill, J. Cawson, H. Frazer, M., D. Southey, J. Hopper, M. Henderson, I. Haviv, E. W. Thompson
{"title":"[Title page i]","authors":"G. Chew, D. Huang, C. Huo, T. Blick, P. Hill, J. Cawson, H. Frazer, M., D. Southey, J. Hopper, M. Henderson, I. Haviv, E. W. Thompson","doi":"10.1109/ddecs.2019.8724646","DOIUrl":"https://doi.org/10.1109/ddecs.2019.8724646","url":null,"abstract":"Introduction: Mammographic density (MD) is a strong heritable risk factor for breast cancer, and may decrease with increasing parity. However, the biomolecular basis for MD-associated breast cancer remains unclear, and systemic hormonal effects on MDassociated risk is poorly understood. This study assessed the effect of murine peripartum states on high and low MD tissue maintained in a xenograft model of human MD.","PeriodicalId":284026,"journal":{"name":"2021 International Conference on Service Science (ICSS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117041852","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: 0
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