UnQL: a query language and algebra for semistructured data based on structural recursion

UnQL: a query language and algebra for semistructured data based on structural recursion The VLDB Journal (2000) 9: 76–110 The VLDB Journal c Springer-Verlag 2000 UnQL: a query language and algebra for semistructured data based on structural recursion 1 2 2 Peter Buneman , Mary Fernandez , Dan Suciu University of Pennsylvania AT&T Labs-Research, 180 Park Ave., Room E 233, Florham Park, NJ 07932-0971, USA; http://www.research.att.com/˜suciu Edited by P. Atzeni and A.O. Mendelzon. Received: July 9, 1999 / Accepted: December 24, 1999 Abstract. This paper presents structural recursion as the In a parallel development XML has emerged as a stan- basis of the syntax and semantics of query languages for dard format for data exchange on the Web [Con98]. How- semistructured data and XML. We describe a simple and ever,, the roots of XML are not in data models but in doc- powerful query language based on pattern matching and ument markup languages in which the markup is used to show that it can be expressed using structural recursion, convey the structure rather than the layout of a document. which is introduced as a top-down, recursive function, simi- Despite the disparate origins and different superficial ap- lar to the way XSL is defined on XML trees. On cyclic data, pearance of OEM http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The VLDB Journal Springer Journals

UnQL: a query language and algebra for semistructured data based on structural recursion

Loading next page...
 
/lp/springer_journal/unql-a-query-language-and-algebra-for-semistructured-data-based-on-JnjdSwgzw5
Publisher
Springer-Verlag
Copyright
Copyright © 2000 by Springer-Verlag Berlin Heidelberg
Subject
Computer Science; Database Management
ISSN
1066-8888
eISSN
0949-877X
D.O.I.
10.1007/s007780050084
Publisher site
See Article on Publisher Site

Abstract

The VLDB Journal (2000) 9: 76–110 The VLDB Journal c Springer-Verlag 2000 UnQL: a query language and algebra for semistructured data based on structural recursion 1 2 2 Peter Buneman , Mary Fernandez , Dan Suciu University of Pennsylvania AT&T Labs-Research, 180 Park Ave., Room E 233, Florham Park, NJ 07932-0971, USA; http://www.research.att.com/˜suciu Edited by P. Atzeni and A.O. Mendelzon. Received: July 9, 1999 / Accepted: December 24, 1999 Abstract. This paper presents structural recursion as the In a parallel development XML has emerged as a stan- basis of the syntax and semantics of query languages for dard format for data exchange on the Web [Con98]. How- semistructured data and XML. We describe a simple and ever,, the roots of XML are not in data models but in doc- powerful query language based on pattern matching and ument markup languages in which the markup is used to show that it can be expressed using structural recursion, convey the structure rather than the layout of a document. which is introduced as a top-down, recursive function, simi- Despite the disparate origins and different superficial ap- lar to the way XSL is defined on XML trees. On cyclic data, pearance of OEM

Journal

The VLDB JournalSpringer Journals

Published: Mar 1, 2000

There are no references for this article.

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off