{"title":"A framework for preservable geometry-centric artifacts","authors":"W. Regli, Michael Grauer, Joseph B. Kopena","doi":"10.1145/1629255.1629265","DOIUrl":null,"url":null,"abstract":"Digital preservation is the mitigation of the deleterious effects of technology obsolescence, media degradation, and fading human memory. For engineering, design, manufacturing, and physics-based simulation data this requires formats that are semantically accessible for 30-to-50 year lifespans. One of the fundamental challenges is the development of digital geometry-centric engineering representations that are self describing and assured to be interpretable over the long lifespans required by archival applications.\n This paper introduces the challenge of long-term preservation of digital geometric models. We describe a digital preservation case study for an engineering model which required, for just a single part, over 3.5 GB of data, including 39 file formats and over 750 distinct model and shape files.\n Based on lessons learned in this case study, we present a framework for enhancing the preservation of geometry-centric engineering knowledge. This framework is currently being used on a number of projects in engineering education.","PeriodicalId":216067,"journal":{"name":"Symposium on Solid and Physical Modeling","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Symposium on Solid and Physical Modeling","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1629255.1629265","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Digital preservation is the mitigation of the deleterious effects of technology obsolescence, media degradation, and fading human memory. For engineering, design, manufacturing, and physics-based simulation data this requires formats that are semantically accessible for 30-to-50 year lifespans. One of the fundamental challenges is the development of digital geometry-centric engineering representations that are self describing and assured to be interpretable over the long lifespans required by archival applications.
This paper introduces the challenge of long-term preservation of digital geometric models. We describe a digital preservation case study for an engineering model which required, for just a single part, over 3.5 GB of data, including 39 file formats and over 750 distinct model and shape files.
Based on lessons learned in this case study, we present a framework for enhancing the preservation of geometry-centric engineering knowledge. This framework is currently being used on a number of projects in engineering education.