{"title":"A Software Framework for Procedural Knowledge Based Collaborative Data Analytics for IoT","authors":"Snehasish Banerjee, M. Chandra","doi":"10.1109/SERP4IoT.2019.00014","DOIUrl":null,"url":null,"abstract":"The outburst of data generation by machines and humans, along with emergence of sophisticated data processing algorithms have created a demand for a wide number of data analytics based services and applications. The paper presents a collaborative framework and system to carry out a large number of data processing tasks based on semantic web technology and a combination of reasoning and data analysis approaches using software engineering guidelines. The paper serves as a first step for systematic fusion of symbolic and procedural reasoning that is programming language agnostic. This approach helps in reducing development time and increases developer's productivity. The proposed software system's logical functionality is explained with the help of a healthcare case study, and the same can be extended for other applications.","PeriodicalId":340042,"journal":{"name":"2019 IEEE/ACM 1st International Workshop on Software Engineering Research & Practices for the Internet of Things (SERP4IoT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE/ACM 1st International Workshop on Software Engineering Research & Practices for the Internet of Things (SERP4IoT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SERP4IoT.2019.00014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The outburst of data generation by machines and humans, along with emergence of sophisticated data processing algorithms have created a demand for a wide number of data analytics based services and applications. The paper presents a collaborative framework and system to carry out a large number of data processing tasks based on semantic web technology and a combination of reasoning and data analysis approaches using software engineering guidelines. The paper serves as a first step for systematic fusion of symbolic and procedural reasoning that is programming language agnostic. This approach helps in reducing development time and increases developer's productivity. The proposed software system's logical functionality is explained with the help of a healthcare case study, and the same can be extended for other applications.
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