Yuma Matsui, Aaron Gidding, T. Levy, F. Kuester, T. DeFanti
{"title":"ArchaeoSTOR map: publishing archaeological geodata on the web","authors":"Yuma Matsui, Aaron Gidding, T. Levy, F. Kuester, T. DeFanti","doi":"10.1145/2345316.2345355","DOIUrl":null,"url":null,"abstract":"Modern field science, including archaeology, utilizes a massive amount of digital data captured by state-of-the-art measurement instruments. Large archaeological data sets may include images, geospatial data, analytical data, and metadata. Geospatial information plays a central role in the life cycle of those data; information is collected, organized, and published for analyses and visualization as final output using geospatial data as an index. The web is an ideal place to publish scientific data and promote diverse collaboration, and thus we need a system to publish digital archaeological data efficiently so that it is also integrated in our data management workflow. In order to realize this goal, we designed and implemented a web-based application named ArcheoSTOR Map, which visualizes and publishes raw archaeological data onto a map.","PeriodicalId":400763,"journal":{"name":"International Conference and Exhibition on Computing for Geospatial Research & Application","volume":"149 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference and Exhibition on Computing for Geospatial Research & Application","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2345316.2345355","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Modern field science, including archaeology, utilizes a massive amount of digital data captured by state-of-the-art measurement instruments. Large archaeological data sets may include images, geospatial data, analytical data, and metadata. Geospatial information plays a central role in the life cycle of those data; information is collected, organized, and published for analyses and visualization as final output using geospatial data as an index. The web is an ideal place to publish scientific data and promote diverse collaboration, and thus we need a system to publish digital archaeological data efficiently so that it is also integrated in our data management workflow. In order to realize this goal, we designed and implemented a web-based application named ArcheoSTOR Map, which visualizes and publishes raw archaeological data onto a map.