Pub Date : 2024-02-16DOI: 10.1109/mic.2024.3358431
{"title":"Computing in Science & Engineering","authors":"","doi":"10.1109/mic.2024.3358431","DOIUrl":"https://doi.org/10.1109/mic.2024.3358431","url":null,"abstract":"","PeriodicalId":13121,"journal":{"name":"IEEE Internet Computing","volume":"33 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2024-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139945895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-16DOI: 10.1109/mic.2023.3339858
Hong Yung Yip, Amit Sheth
The unparalleled volume of data generated has heightened the need for approaches that can consume these data in a scalable and automated fashion. Although modern data-driven, deep-learning-based systems are cost-efficient and can learn complex patterns, they are black boxes in nature, and the underlying input data highly dictate their world model. Knowledge graphs (KGs), as one such technology, have surfaced as a compelling approach for using structured knowledge representation to support the integration of knowledge from diverse sources and formats. We present Empower (EMPWR), a comprehensive KG development and lifecycle support platform that uses a broad variety of techniques from symbolic and modern data-driven systems. We discuss the sets of system design guiding principles used to develop EMPWR, its system architectures, and workflow components. We illustrate some of EMPWR’s abilities by describing a process of creating and maintaining a KG for the pharmaceuticals domain.
由于产生的数据量无与伦比，人们更加需要能够以可扩展和自动化的方式使用这些数据的方法。虽然基于深度学习的现代数据驱动系统具有成本效益，并能学习复杂的模式，但它们本质上是黑盒子，底层输入数据在很大程度上决定了它们的世界模型。知识图谱（KG）就是这样一种技术，它是使用结构化知识表示法来支持整合来自不同来源和格式的知识的一种引人注目的方法。我们介绍了 Empower (EMPWR)，这是一个全面的知识图谱开发和生命周期支持平台，采用了符号系统和现代数据驱动系统的多种技术。我们讨论了用于开发 EMPWR 的系统设计指导原则、系统架构和工作流组件。我们通过描述创建和维护制药领域 KG 的过程来说明 EMPWR 的一些能力。
{"title":"The EMPWR Platform: Data and Knowledge-Driven Processes for the Knowledge Graph Lifecycle","authors":"Hong Yung Yip, Amit Sheth","doi":"10.1109/mic.2023.3339858","DOIUrl":"https://doi.org/10.1109/mic.2023.3339858","url":null,"abstract":"The unparalleled volume of data generated has heightened the need for approaches that can consume these data in a scalable and automated fashion. Although modern data-driven, deep-learning-based systems are cost-efficient and can learn complex patterns, they are black boxes in nature, and the underlying input data highly dictate their world model. Knowledge graphs (KGs), as one such technology, have surfaced as a compelling approach for using structured knowledge representation to support the integration of knowledge from diverse sources and formats. We present Empower (EMPWR), a comprehensive KG development and lifecycle support platform that uses a broad variety of techniques from symbolic and modern data-driven systems. We discuss the sets of system design guiding principles used to develop EMPWR, its system architectures, and workflow components. We illustrate some of EMPWR’s abilities by describing a process of creating and maintaining a KG for the pharmaceuticals domain.","PeriodicalId":13121,"journal":{"name":"IEEE Internet Computing","volume":"31 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2024-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139945760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-16DOI: 10.1109/mic.2024.3350857
{"title":"IEEE Computer Society Information","authors":"","doi":"10.1109/mic.2024.3350857","DOIUrl":"https://doi.org/10.1109/mic.2024.3350857","url":null,"abstract":"","PeriodicalId":13121,"journal":{"name":"IEEE Internet Computing","volume":"22 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2024-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139945821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Effective data management is crucial to ensure the security, integrity, and efficiency of blockchain systems. This study proposes a detailed data management taxonomy specifically designed for blockchain technology. The taxonomy provides a structured framework to categorize and address various aspects of data management in blockchain networks. It covers essential aspects, such as data flow, data storage, access control, and querying. It provides a systematic approach to understanding and addressing the unique challenges associated with managing data in blockchain systems. The framework enables informed decision making, promotes effective strategies, and helps to leverage the full potential of blockchain technology.
{"title":"Data Management Challenges in Blockchain-Based Applications","authors":"Stanly Wilson, Kwabena Adu-Duodu, Yinhao Li, Ellis Solaiman, Omer Rana, Schahram Dustdar, Rajiv Ranjan","doi":"10.1109/mic.2023.3319152","DOIUrl":"https://doi.org/10.1109/mic.2023.3319152","url":null,"abstract":"Effective data management is crucial to ensure the security, integrity, and efficiency of blockchain systems. This study proposes a detailed data management taxonomy specifically designed for blockchain technology. The taxonomy provides a structured framework to categorize and address various aspects of data management in blockchain networks. It covers essential aspects, such as data flow, data storage, access control, and querying. It provides a systematic approach to understanding and addressing the unique challenges associated with managing data in blockchain systems. The framework enables informed decision making, promotes effective strategies, and helps to leverage the full potential of blockchain technology.","PeriodicalId":13121,"journal":{"name":"IEEE Internet Computing","volume":"39 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2024-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139911190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-16DOI: 10.1109/mic.2024.3358428
{"title":"IEEE CS Call for Papers","authors":"","doi":"10.1109/mic.2024.3358428","DOIUrl":"https://doi.org/10.1109/mic.2024.3358428","url":null,"abstract":"","PeriodicalId":13121,"journal":{"name":"IEEE Internet Computing","volume":"1 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2024-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139945813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-15DOI: 10.1109/mic.2023.3342793
Youngjoon Choi, Hannah Baek, Jinseop Jeong, Kanghee Kim
In autonomous vehicles, 3-D point cloud (PCD) maps are widely employed. By matching a point cloud acquired from a 3-D ranging sensor in real time with the PCD map, the ego vehicle can be localized with high accuracy. However, the PCD maps must be compressed and customized to the vehicles because they typically have low computing power, a small memory space, and low-resolution sensors. In this study, we propose an edge service of PCD map compression for connected intelligent vehicles. We overview a general path-aware map compression framework and propose a novel compression method to combine voxelization and a notion of localizability at every waypoint on target paths. Experimental results show that the proposed compression significantly reduces the computational cost at both the edge server and the vehicle while satisfying a required localization performance level.
{"title":"3-D Point Cloud Map Compression for Connected Intelligent Vehicles","authors":"Youngjoon Choi, Hannah Baek, Jinseop Jeong, Kanghee Kim","doi":"10.1109/mic.2023.3342793","DOIUrl":"https://doi.org/10.1109/mic.2023.3342793","url":null,"abstract":"In autonomous vehicles, 3-D point cloud (PCD) maps are widely employed. By matching a point cloud acquired from a 3-D ranging sensor in real time with the PCD map, the ego vehicle can be localized with high accuracy. However, the PCD maps must be compressed and customized to the vehicles because they typically have low computing power, a small memory space, and low-resolution sensors. In this study, we propose an edge service of PCD map compression for connected intelligent vehicles. We overview a general path-aware map compression framework and propose a novel compression method to combine voxelization and a notion of localizability at every waypoint on target paths. Experimental results show that the proposed compression significantly reduces the computational cost at both the edge server and the vehicle while satisfying a required localization performance level.","PeriodicalId":13121,"journal":{"name":"IEEE Internet Computing","volume":"13 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139945803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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