Database Research Group (CIS)

Document Type

Conference Paper

Date of this Version

January 2003

Comments

Postprint version. Copyright ACM, 2003. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in CIDR 2003.
Publisher URL: http://www.informatik.uni-trier.de/~ley/db/conf/cidr/cidr2003.html

NOTE: At the time of publication, the author Zachary Ives was affiliated with the University of Washington. Currently June 2007, he is a faculty member of the Department of Computer Information and Science at the University of Pennsylvania.

Abstract

It has frequently been observed that most of the world’s data lies outside database systems. The reason is that database systems focus on structured data, leaving the unstructured realm to others. The world of unstructured data has several very appealing properties, such as ease of authoring, querying and data sharing. In contrast, authoring, querying and sharing structured data require significant effort, albeit with the benefit of rich query languages and exact answers. We argue that in order to broaden the use of data management tools, we need a concerted effort to cross this structure chasm, by importing the attractive properties of the unstructured world into the structured one. As an initial effort in this direction, we introduce the REVERE System, which offers several mechanisms for crossing the structure chasm, and considers as its first application the chasm on the WWW.REVERE includes three innovations: (1) a data creation environment that entices people to structure data and enables them to do it rapidly; (2) a data sharing environment, based on a peer data management system, in which a web of data is created by establishing local mappings between schemas, and query answering is done over the transitive closure of these mappings; (3) a novel set of tools that are based on computing statistics over corpora of schemata and structured data. In a sense, we are trying to adapt the key techniques of the unstructured world, namely computing statistics over text coropra, into the world of structured data. We sketch how statistics computed over such corpora, which capture common term usage patterns, can be used to create tools for assisting in schema and mapping development. The initial application of REVERE focuses on creating a web of structured data from data that is usually stored in HTML web pages (e.g., personal information, course information, etc.).

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Date Posted: 12 June 2007

This document has been peer reviewed.