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Author, Editor

Author(s):

Theobald, Anja
Weikum, Gerhard

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dblp



Editor(s):

Suciu, Dan
Vossen, Gottfried

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dblp

Not MPII Editor(s):

Suciu, Dan
Vossen, Gottfried

BibTeX cite key*:

TheobaldW00a

Title, Booktitle

Title*:

Adding Relevance to XML


TheobaldW00a.pdf (105.53 KB)

Booktitle*:

Proceedings of the Third International Workshop The World Wide Web and Databases, WebDB 2000 (Selected Papers)

Event, URLs

URL of the conference:


URL for downloading the paper:

http://www.springerlink.com/(rra3it3loenh4p45xfwyge55)/app/home/content.asp?referrer=contribution&format=2&page=1&pagecount=0

Event Address*:

Dallas, Texas, USA

Language:

English

Event Date*
(no longer used):

September 6-8, 2000

Organization:


Event Start Date:

18 May 2000

Event End Date:

19 May 2000

Publisher

Name*:

Springer

URL:


Address*:

Heidelberg, GER

Type:


Vol, No, Year, pp.

Series:

Lecture Notes in Computer Science

Volume:

1997

Number:


Month:


Pages:

105-124

Year*:

2000

VG Wort Pages:


ISBN/ISSN:

3-540-41826-1

Sequence Number:


DOI:




Note, Abstract, ©


(LaTeX) Abstract:

XML query languages proposed so far are limited to Boolean retrieval in the sense that query results are sets of qualifying XML elements or subgraphs. This search paradigm is intriguing for “closed” collections of XML documents such as e-commerce catalogs, but we argue that it is inadequate for searching the Web where we would prefer ranked lists of results based on relevance estimation. IR-style Web search engines, on the other hand, are incapable of exploiting the additional information made explicit in the structure, element names, and attributes of XML documents. In this paper we present a compact query language, coined XXL for “flexible XML search language”, that reconciles both search paradigms by combining XML graph pattern matching with relevance estimations and producing ranked lists of XML subgraphs as search results. The paper describes the language design, sketches implementation issues, and presents preliminary experimental results.

XML query languages proposed so far are limited to Boolean retrieval in the sense that query results are sets of qualifying XML elements or subgraphs. This search paradigm is intriguing for “closed” collections of XML documents such as e-commerce catalogs, but we argue that it is inadequate for searching the Web where we would prefer ranked lists of results based on relevance estimation. IR-style Web search engines, on the other hand, are incapable of exploiting the additional information made explicit in the structure, element names, and attributes of XML documents. In this paper we present a compact query language, coined XXL for “flexible XML search language”, that reconciles both search paradigms by combining XML graph pattern matching with relevance estimations and producing ranked lists of XML subgraphs as search results. The paper describes the language design, sketches implementation issues, and presents preliminary experimental results.




Download
Access Level:

Public

Correlation

MPG Unit:

Max-Planck-Institut für Informatik



MPG Subunit:

Databases and Information Systems Group

Audience:

Expert

Appearance:

MPII WWW Server, MPII FTP Server, MPG publications list, university publications list, working group publication list, Fachbeirat, VG Wort



BibTeX Entry:

@INPROCEEDINGS{TheobaldW00a,
AUTHOR = {Theobald, Anja and Weikum, Gerhard},
EDITOR = {Suciu, Dan and Vossen, Gottfried},
TITLE = {Adding Relevance to {XML}},
BOOKTITLE = {Proceedings of the Third International Workshop The World Wide Web and Databases, WebDB 2000 (Selected Papers)},
PUBLISHER = {Springer},
YEAR = {2000},
VOLUME = {1997},
PAGES = {105--124},
SERIES = {Lecture Notes in Computer Science},
ADDRESS = {Dallas, Texas, USA},
ISBN = {3-540-41826-1},
}


Entry last modified by Adriana Davidescu, 03/27/2006
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Editor(s)
Adriana Davidescu
Created
03/27/2006 04:00:15 PM
Revision
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Editor
Adriana Davidescu



Edit Date
27.03.2006 16:07:03



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