Data Science and Engineering最新文献_第4页

A Personalized Explainable Learner Implicit Friend Recommendation Method 一种个性化可解释学习者内隐好友推荐方法

IF 4.2 2区计算机科学

Data Science and Engineering Pub Date : 2023-01-27 DOI: 10.1007/s41019-023-00204-z

Chunying Li, Bingyang Zhou, Weijie Lin, Zhikang Tang, Yong Tang, Yanchun Zhang, Jinli Cao

引用次数: 4

A Novel Link Prediction Framework Based on Gravitational Field 一种新的基于引力场的链路预测框架

IF 4.2 2区计算机科学

Data Science and Engineering Pub Date : 2023-01-16 DOI: 10.1007/s41019-022-00201-8

Yanlin Yang, Zhonglin Ye, Haixing Zhao, Lei Meng

引用次数: 0

A Communication Efficient ADMM-based Distributed Algorithm Using Two-Dimensional Torus Grouping AllReduce 基于二维环面分组的分布式admm通信高效算法

IF 4.2 2区计算机科学

Data Science and Engineering Pub Date : 2023-01-02 DOI: 10.1007/s41019-022-00202-7

Guozheng Wang, Yong-mei Lei, Zeyu Zhang, Cunlu Peng

引用次数: 3

Multi-Model Fusion-Based Hierarchical Extraction for Chinese Epidemic Event. 基于多模型融合的中国疫情事件层次提取。

IF 4.2 2区计算机科学

Data Science and Engineering Pub Date : 2023-01-01 DOI: 10.1007/s41019-022-00203-6

Zenghua Liao, Zongqiang Yang, Peixin Huang, Ning Pang, Xiang Zhao

{"title":"Multi-Model Fusion-Based Hierarchical Extraction for Chinese Epidemic Event.","authors":"Zenghua Liao, Zongqiang Yang, Peixin Huang, Ning Pang, Xiang Zhao","doi":"10.1007/s41019-022-00203-6","DOIUrl":"https://doi.org/10.1007/s41019-022-00203-6","url":null,"abstract":"In recent years, Coronavirus disease 2019 (COVID-19) has become a global epidemic, and some efforts have been devoted to tracking and controlling its spread. Extracting structured knowledge from involved epidemic case reports can inform the surveillance system, which is important for controlling the spread of outbreaks. Therefore, in this paper, we focus on the task of Chinese epidemic event extraction (EE), which is defined as the detection of epidemic-related events and corresponding arguments in the texts of epidemic case reports. To facilitate the research of this task, we first define the epidemic-related event types and argument roles. Then we manually annotate a Chinese COVID-19 epidemic dataset, named COVID-19 Case Report (CCR). We also propose a novel hierarchical EE architecture, named multi-model fusion-based hierarchical event extraction (MFHEE). In MFHEE, we introduce a multi-model fusion strategy to tackle the issue of recognition bias of previous EE models. The experimental results on CCR dataset show that our method can effectively extract epidemic events and outperforms other baselines on this dataset. The comparative experiments results on other generic datasets show that our method has good scalability and portability. The ablation studies also show that the proposed hierarchical structure and multi-model fusion strategy contribute to the precision of our model.Supplementary information: The online version contains supplementary material available at 10.1007/s41019-022-00203-6.","PeriodicalId":52220,"journal":{"name":"Data Science and Engineering","volume":"8 1","pages":"73-83"},"PeriodicalIF":4.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9807097/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9377525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A Survey on the Integration of Blockchains and Databases. 区块链与数据库集成综述。

IF 4.2 2区计算机科学

Data Science and Engineering Pub Date : 2023-01-01 Epub Date: 2023-04-24 DOI: 10.1007/s41019-023-00212-z

Changhao Zhu, Junzhe Li, Ziyue Zhong, Cong Yue, Meihui Zhang

{"title":"A Survey on the Integration of Blockchains and Databases.","authors":"Changhao Zhu, Junzhe Li, Ziyue Zhong, Cong Yue, Meihui Zhang","doi":"10.1007/s41019-023-00212-z","DOIUrl":"10.1007/s41019-023-00212-z","url":null,"abstract":"The success of blockchain technology in cryptocurrencies reveals its potential in the data management field. Recently, there is a trend in the database community to integrate blockchains and traditional databases to obtain security, efficiency, and privacy from the two distinctive but related systems. In this survey, we discuss the use of blockchain technology in the data management field and focus on the fusion system of blockchains and databases. We first classify existing blockchain-related data management technologies by their locations on the blockchain-database spectrum. Based on the taxonomy, we discuss three types of fusion systems and analyze their design spaces and trade-offs. Then, by further investigating the typical systems and techniques of each type of fusion system and comparing the solutions, we provide insights of each fusion model. Finally, we outline the unsolved challenges and promising directions in this field and believe that fusion systems will take a more important role in data management tasks. We hope this survey can help both academia and industry to better understand the advantages and limitations of blockchain-related data management systems and develop fusion systems that meet various requirements in practice.","PeriodicalId":52220,"journal":{"name":"Data Science and Engineering","volume":"8 2","pages":"196-219"},"PeriodicalIF":4.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10124707/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9484493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A Multi-level Mesh Mutual Attention Model for Visual Question Answering 面向视觉问答的多层次网格相互注意模型

IF 4.2 2区计算机科学

Data Science and Engineering Pub Date : 2022-10-30 DOI: 10.1007/s41019-022-00200-9

Zhi Lei, Guixian Zhang, Lijuan Wu, Kui Zhang, Rongjiao Liang

引用次数: 4

Joint Attention Networks with Inherent and Contextual Preference-Awareness for Successive POI Recommendation 具有内在和情境偏好意识的连续POI推荐联合注意网络

IF 4.2 2区计算机科学

Data Science and Engineering Pub Date : 2022-10-28 DOI: 10.1007/s41019-022-00199-z

Haiting Zhong, W. He, Li-zhen Cui, Lei Liu, Zhongmin Yan, Kun Zhao

引用次数: 2

An Efficient Algorithm of Star Subgraph Queries on Urban Traffic Knowledge Graph 城市交通知识图星形子图查询的一种高效算法

IF 4.2 2区计算机科学

Data Science and Engineering Pub Date : 2022-10-21 DOI: 10.1007/s41019-022-00198-0

Tao Sun, Jianqiu Xu, Caiping Hu

引用次数: 1

An Adaptive Elastic Multi-model Big Data Analysis and Information Extraction System 自适应弹性多模型大数据分析与信息提取系统

IF 4.2 2区计算机科学

Data Science and Engineering Pub Date : 2022-10-12 DOI: 10.1007/s41019-022-00196-2

Qiang Yin, Jianhua Wang, Sheng Du, Jianquan Leng, Jintao Li, Yinhao Hong, Feng Zhang, Yunpeng Chai, Xiao Zhang, Xiaonan Zhao, Mengyu Li, Song Xiao, Wei Lu

引用次数: 4

When Research Topic Trend Prediction Meets Fact-Based Annotations 当研究主题趋势预测满足基于事实的注解时

IF 4.2 2区计算机科学

Data Science and Engineering Pub Date : 2022-10-12 DOI: 10.1007/s41019-022-00197-1

Jiachen Wang, Jiajie Xu, Wei Chen, Lei Zhao

引用次数: 0