Journal Article
@Article
Artikel in Fachzeitschrift


Show entries of:

this year (2017) | last year (2016) | two years ago (2015) | Notes URL

Action:

login to update

Options:








Author, Editor(s)

Author(s):

Schenkel, Ralf
Theobald, Anja
Weikum, Gerhard

dblp
dblp
dblp



BibTeX cite key*:

SchenkelTW05a

Title

Title*:

Semantic Similarity Search on Semistructured Data with the XXL Search Engine


SchenkelTW05a.pdf (288.2 KB)

Journal

Journal Title*:

Information Retrieval

Journal's URL:

http://www.springerlink.com/(jl4142enzibfn545fyjg1neo)/app/home/journal.asp?referrer=parent&backto=linkingpublicationresults,1:103814,1

Download URL
for the article:

http://www.springerlink.com/media/1lbfdnyhlh4tv3yyrqau/contributions/r/l/k/v/rlkvv91366674311.pdf

Language:

English

Publisher

Publisher's
Name:

Kluwer

Publisher's URL:


Publisher's
Address:

Dordrecht, The Netherlands

ISSN:

1386-4564

Vol, No, pp, Date

Volume*:

8

Number:

4

Publishing Date:

December 2005

Pages*:

521-545

Number of
VG Pages:

58

Page Start:


Page End:

-

Sequence Number:


DOI:


Note, Abstract, ©

Note:


(LaTeX) Abstract:

Query languages for XML such as XPath or XQuery support Boolean retrieval: a query result is a (possibly restructured) subset of XML elements or entire documents that satisfy the search conditions of the query. This search paradigm works for highly schematic XML data collections such as electronic catalogs. However, for searching information in open environments such as the Web or intranets of large corporations, ranked retrieval is more appropriate: a query result is a ranked list of XML elements in descending order of (estimated) relevance. Web search engines, which are based on the ranked retrieval paradigmdo, however, not consider the additional information and rich annotations provided by the structure of XML documents and their element names.
This article presents the XXL search engine that supports relevance ranking on XML data. XXL is particularly geared for path queries with wildcards that can span multiple XML collections and contain both exact-match as well as semantic-similarity search conditions. In addition, ontological information and suitable index structures are used to improve the search efficiency and effectiveness. XXL is fully implemented as a suite of Java classes and servlets. Experiments in the context of the INEX benchmark demonstrate the efficiency of the XXL search engine and underline its effectiveness for ranked retrieval.

URL for the Abstract:


Categories,
Keywords:

XML retrieval, semistructured data, ranked retrieval

HyperLinks / References / URLs:


Copyright Message:


Personal Comments:


Download
Access Level:

Public

Correlation

MPG Unit:

Max-Planck-Institut für Informatik



MPG Subunit:

Databases and Information Systems Group

Appearance:

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


BibTeX Entry:

@ARTICLE{SchenkelTW05a,
AUTHOR = {Schenkel, Ralf and Theobald, Anja and Weikum, Gerhard},
TITLE = {Semantic Similarity Search on Semistructured Data with the {XXL} Search Engine},
JOURNAL = {Information Retrieval},
PUBLISHER = {Kluwer},
YEAR = {2005},
NUMBER = {4},
VOLUME = {8},
PAGES = {521--545},
ADDRESS = {Dordrecht, The Netherlands},
MONTH = {December},
ISBN = {1386-4564},
}


Entry last modified by Ralf Schenkel, 03/30/2007
Show details for Edit History (please click the blue arrow to see the details)Edit History (please click the blue arrow to see the details)
Hide details for Edit History (please click the blue arrow to see the details)Edit History (please click the blue arrow to see the details)

Editor(s)
Adriana Davidescu
Created
01/19/2005 08:56:29 PM
Revisions
11.
10.
9.
8.
7.
Editor(s)
Ralf Schenkel
Adriana Davidescu
Adriana Davidescu
Adriana Davidescu
Adriana Davidescu
Edit Dates
30.03.2007 16:25:28
17.01.2006 15:58:30
12.01.2006 17:15:10
15.12.2005 16:20:19
02.05.2005 15:28:48
Show details for Attachment SectionAttachment Section
Hide details for Attachment SectionAttachment Section
SchenkelTW05a.pdf
View attachments here: