I. Liem, Transmissia Semiawan, Ade Chandra, Suprihanto
{"title":"A software system family: Learning from simple data processing to knowledge management system of research","authors":"I. Liem, Transmissia Semiawan, Ade Chandra, Suprihanto","doi":"10.1109/ICITEED.2015.7408906","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a series of applications that represent a system family for processing Research Data. The whole system is a model of complete data flow of \"research\", from data capturing, processing, until intelligent data analysis. Data engineering, Software Engineering, Domain Engineering and Ontology Engineering are used for the development of the system. We also described tools and technologies to be used in building the system. The prototype of a small scale system has been built as a proof of concept of this family of system, for the domain of \"Research\" in Indonesian context. The aim of building this prototype are: (a) to provide an architectural description prototype of a knowledge repository where Indonesian Context Research as a central domain (b) to comprehend a software engineering for software system family.","PeriodicalId":207985,"journal":{"name":"2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITEED.2015.7408906","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, we propose a series of applications that represent a system family for processing Research Data. The whole system is a model of complete data flow of "research", from data capturing, processing, until intelligent data analysis. Data engineering, Software Engineering, Domain Engineering and Ontology Engineering are used for the development of the system. We also described tools and technologies to be used in building the system. The prototype of a small scale system has been built as a proof of concept of this family of system, for the domain of "Research" in Indonesian context. The aim of building this prototype are: (a) to provide an architectural description prototype of a knowledge repository where Indonesian Context Research as a central domain (b) to comprehend a software engineering for software system family.