English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  How NAGA Uncoils: Searching with Entities and Relations

Kasneci, G., Suchanek, F., Ramanath, M., & Weikum, G. (2007). How NAGA Uncoils: Searching with Entities and Relations. Poster presented at WWW 2007, Banff, Alberta, Canada.

Item is

Basic

show hide
Genre: Poster
Latex : How {NAGA} Uncoils: Searching with Entities and Relations

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Kasneci, Gjergji1, Author           
Suchanek, Fabian1, Author           
Ramanath, Maya1, Author           
Weikum, Gerhard1, Author           
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

Content

show
hide
Free keywords: -
 Abstract: Current keyword-oriented search engines for theWorld Wide Web do not allow specifying the semantics of queries. We address this limitation with NAGA}, a new semantic search engine. {NAGA} builds on a large semantic knowledge base of binary relationships (facts) derived from the Web. {NAGA} provides a simple, yet expressive query language to query this knowledge base. The results are then ranked with an intuitive scoring mechanism. We show the effectiveness and utility of {NAGA by comparing its output with that of Google on some interesting queries.

Details

show
hide
Language(s): eng - English
 Dates: 2007
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1145/1242572.1242748
BibTex Citekey: kasneci2007www
 Degree: -

Event

show
hide
Title: WWW 2007
Place of Event: Banff, Alberta, Canada
Start-/End Date: 2007-05-08 - 2007-05-12

Legal Case

show

Project information

show

Source 1

show
hide
Title: 16th International World Wide Web Conference
  Abbreviation : WWW 2007
Source Genre: Proceedings
 Creator(s):
Williamson, Carey L.1, Editor
Zurko, Mary Ellen1, Editor
Patel-Schneider Prashant J., Peter F. Shenoy1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: New York, NY : ACM Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1167 - 1168 Identifier: ISBN: 978-1-59593-654-7