An annotation is any form of additional information “superposed” on any existing data or document.
Example: If a scientist records her experimental data in a relational database and then marks some “cells” of a table with the comment “consistent with previous findings,” this additionally “marked” information is an annotation.
Often annotations are not originally intended to be part of the collected data, and hence no data or schema structure was designed to hold it. Annotating data is a very common practice in science, where scientists would literally “mark” experimental observation with comments and often use annotations to share their opinions in a collaborative study. One can annotate data at the level of whole data sets, groups of data elements (like columns), or values. As larger-scale experiments are conducted and larger collaborations are formed, management of the annotated data becomes a serious challenge. In recent times, the emerging importance of...
- 2.Buneman P, Khanna S, Tan W-C. On propagation of deletions and annotations through views. In: Proceedings of the 21st ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems; 2002. p. 150–8.Google Scholar
- 3.Geerts F, Kementsiesidis A, Milano D. MONDRIAN: annotating and querying databases through colors and blocks. In: Proceedings of the 22nd International Conference on Data Engineering; 2006. p. 82.Google Scholar
- 5.Murthy S, Maier D, Delcambre LML. Querying bi-level information. In: Proceedings of the 7th International Workshop on the World Wide Web and Databases; 2004. p. 7–12.Google Scholar
- 6.Srivastava D, Velegrakis Y. Intensional associations between data and metadata. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 2007. p. 401–12.Google Scholar