Semistructured Data

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In semistructured data, the information that is normally associated with a schema is contained within the data, which is sometimes called "self-describing". In some forms of semistructured data there is no separate schema, in others it exists but only places loose constraints on the data. Semistructured data has recently emerged as an important topic of study for a variety of reasons. First, there are data sources such as the Web, which we would like to treat as databases but which cannot be constrained by a schema. Second, it may be desirable to have an extremely flexible format for data exchange between disparate databases. Third, even when dealing with structured data, it may be helpful to view it as semistructured for the purposes of browsing. This tutorial will cover a number of issues surrounding such data: finding a concise formulation, building a sufficiently expressive language for querying and transformation, and optimization problems.
Original languageEnglish
Title of host publicationPODS '97 Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
PublisherACM
Pages117-121
Number of pages5
ISBN (Print)0-89791-910-6
DOIs
Publication statusPublished - 1997

Fingerprint

Dive into the research topics of 'Semistructured Data'. Together they form a unique fingerprint.

Cite this