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Author, Editor

Author(s):

Weikum, Gerhard
Graupmann, Jens
Schenkel, Ralf
Theobald, Martin

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Editor(s):

Atzeni, Paolo
Chu, Wesley
Lu, Hongjun
Zhou, Shuigeng
Ling, Tok Wang

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Not MPII Editor(s):

Atzeni, Paolo
Chu, Wesley
Lu, Hongjun
Zhou, Shuigeng
Ling, Tok Wang

BibTeX cite key*:

WeikumGSW04

Title, Booktitle

Title*:

Towards a Statistically Semantic Web

Booktitle*:

Conceptual modeling, ER 2004 : 23rd International Conference on Conceptual Modeling

Event, URLs

URL of the conference:

http://www.cs.fudan.edu.cn/er2004/

URL for downloading the paper:


Event Address*:

Shanghai, China

Language:

English

Event Date*
(no longer used):


Organization:


Event Start Date:

8 November 2004

Event End Date:

12 November 2004

Publisher

Name*:

Springer

URL:


Address*:

Berlin, Germany

Type:


Vol, No, Year, pp.

Series:

Lecture Notes in Computer Science

Volume:

3288

Number:


Month:


Pages:

3-17

Year*:

2004

VG Wort Pages:

40

ISBN/ISSN:

3-540-23723-2

Sequence Number:


DOI:




Note, Abstract, ©


(LaTeX) Abstract:

The envisioned Semantic Web aims to provide richly annotated and
explicitly structured Web pages in XML, RDF, or description logics, based upon underlying ontologies and thesauri. Ideally, this should enable a wealth of query processing and semantic reasoning capabilities using XQuery and logical inference
engines. However, we believe that the diversity and uncertainty of terminologies and schema-like annotations will make precise querying on a Web scale extremely elusive if not hopeless, and the same argument holds for large-scale
dynamic federations of Deep Web sources. Therefore, ontology-based reasoning and querying needs to be enhanced by statistical means, leading to relevanceranked lists as query results.

This paper presents steps towards such a "statistically semantic" Web and outlines technical challenges. We discuss how statistically quantified ontological relations can be exploited in XML retrieval, how statistics can help in making Web-scale
search efficient, and how statistical information extracted from users’ query logs and click streams can be leveraged for better search result ranking. We believe these are decisive issues for improving the quality of next-generation search engines
for intranets, digital libraries, and the Web, and they are crucial also for peer-to-peer collaborative Web search.



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:

@INPROCEEDINGS{WeikumGSW04,
AUTHOR = {Weikum, Gerhard and Graupmann, Jens and Schenkel, Ralf and Theobald, Martin},
EDITOR = {Atzeni, Paolo and Chu, Wesley and Lu, Hongjun and Zhou, Shuigeng and Ling, Tok Wang},
TITLE = {Towards a Statistically Semantic {Web}},
BOOKTITLE = {Conceptual modeling, ER 2004 : 23rd International Conference on Conceptual Modeling},
PUBLISHER = {Springer},
YEAR = {2004},
VOLUME = {3288},
PAGES = {3--17},
SERIES = {Lecture Notes in Computer Science},
ADDRESS = {Shanghai, China},
ISBN = {3-540-23723-2},
}


Entry last modified by Christine Kiesel, 06/20/2005
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Editor(s)
Ralf Schenkel
Created
12/02/2004 02:47:18 PM
Revisions
8.
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Editor(s)
Christine Kiesel
Anja Becker
Christine Kiesel
Christine Kiesel
Christine Kiesel
Edit Dates
20.06.2005 15:16:41
16.06.2005 13:43:39
31.05.2005 14:40:41
31.05.2005 14:37:52
09.02.2005 11:26:16
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