The Semantic Data Dictionary-An Approach for Describing and Annotating Data  

作　　者：Sabbir M.Rashid James P.McCusker Paulo Pinheiro Marcello P.Bax Henrique O.Santos Jeanette A.Stingone Amar K.Das Deborah L.McGuinness 

机构地区：[1]Tetherless World Constellation,Rensselaer Polytechnic Institute,Troy NY 12180,USA [2]School of Information Science,Federal University of Minas Gerais,Belo Horizonte 31270-901,MG,Brazil [3]Mailman School of Public Health,Columbia University,New York NY 10032,USA [4]IBM Research,Cambridge MA 02142,USA

出　　处：《Data Intelligence》2020年第4期443-486,共44页数据智能（英文）

基　　金：This work is supported by the National Institute of Environmental Health Sciences(NIEHS)Award 0255-0236-4609/1U2CES026555-01;IBM Research AI through the AI Horizons Network,and the CAPES Foundation Senior Internship Program Award 88881.120772/2016-01.

摘　　要：It is common practice for data providers to include text descriptions for each column when publishing data sets in the form of data dictionaries.While these documents are useful in helping an end-user properly interpret the meaning of a column in a data set,existing data dictionaries typically are not machine-readable and do not follow a common specification standard.We introduce the Semantic Data Dictionary,a specification that formalizes the assignment of a semantic representation of data,enabling standardization and harmonization across diverse data sets.In this paper,we present our Semantic Data Dictionary work in the context of our work with biomedical data;however,the approach can and has been used in a wide range of domains.The rendition of data in this form helps promote improved discovery,interoperability,reuse,traceability,and reproducibility.We present the associated research and describe how the Semantic Data Dictionary can help address existing limitations in the related literature.We discuss our approach,present an example by annotating portions of the publicly available National Health and Nutrition Examination Survey data set,present modeling challenges,and describe the use of this approach in sponsored research,including our work on a large National Institutes of Health(NIH)-funded exposure and health data portal and in the RPI-IBM collaborative Health Empowerment by Analytics,Learning,and Semantics project.

关 键 词：Semantic Data Dictionary Dictionary mapping CODEBOOK Knowledge modeling Data integration Data dictionary Mapping language Metadata standard Semantic Web Semantic ETL FAIR DATA 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]