{"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}
{"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}
{"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}
{"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}
{"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}
Youngjoon Choi, Hannah Baek, Jinseop Jeong, Kanghee Kim
{"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}