Article

Geographic information retrieval (GIR) ranking methods for digital libraries

Authors:

Ray R. Larson,

Patricia FrontieraAuthors Info & Claims

JCDL '04: Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries

Page 415

https://doi.org/10.1145/996350.996482

Published: 07 June 2004 Publication History

Get Access

Abstract

This demo will presents results from an evaluation of algorithms forranking results by probability of relevance for Geographic Information Retrieval (GIR) applications. We will demonstrate an algorithm for GIR ranking based on logistic regression from samples of the test collection We also show the effects of different representations of the geographic regions being searched, including minimumbounding rectangles, convex hulls, and complex polygons.

Cited By

View all

Sun KZhu YSong J(2019)Progress and Challenges on Entity Alignment of Geographic Knowledge BasesISPRS International Journal of Geo-Information10.3390/ijgi80200778:2(77)Online publication date: 6-Feb-2019
https://doi.org/10.3390/ijgi8020077
Arslan Ay SZimmermann RKim S(2010)Relevance ranking in georeferenced video searchMultimedia Systems10.1007/s00530-009-0177-x16:2(105-125)Online publication date: 1-Mar-2010
https://dl.acm.org/doi/10.1007/s00530-009-0177-x
Hariharan RHore BMehrotra SLarsen RPaepcke ABorbinha JNaaman M(2008)Discovering gis sources on the web using summariesProceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries10.1145/1378889.1378907(94-103)Online publication date: 16-Jun-2008
https://dl.acm.org/doi/10.1145/1378889.1378907
Show More Cited By

Index Terms

Geographic information retrieval (GIR) ranking methods for digital libraries

Recommendations

Relevance and ranking in geographic information retrieval
FDIA'11: Proceedings of the Fourth BCS-IRSG conference on Future Directions in Information Access

Geographic Information Retrieval (GIR) is a specialized branch of traditional Information Retrieval (IR), which deals with the information related to geographic locations. One of the main challenges of GIR is to quantify the spatial relevance of ...
Concept based representations for ranking in geographic information retrieval
IceTAL'10: Proceedings of the 7th international conference on Advances in natural language processing

Geographic Information Retrieval (GIR) is a specialized Information Retrieval (IR) branch that deals with information related to geographical locations. Traditional IR engines are perfectly able to retrieve the majority of the relevant documents for ...
Multi-Dimensional Scattered Ranking Methods for Geographic Information Retrieval*

Geographic Information Retrieval is concerned with retrieving documents in response to a spatially related query. This paper addresses the ranking of documents by both textual and spatial relevance. To this end, we introduce multi-dimensional scattered ...

Comments

Information & Contributors

Information

Published In

JCDL '04: Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries

June 2004

440 pages

ISBN:1581138326

DOI:10.1145/996350

General Chairs:
Hsinchun Chen
University of Arizona
,
Howard Wactlar
Carnegie Mellon University, Pittsburgh, PA
,
Ching-chih Chen
Simmons College
,
Program Chairs:
Ee-Peng Lim
Nanyang Technological University
,
Mike Christel
Carnegie Mellon University, Pittsburgh, PA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 June 2004

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tag

geographic information retrieval

Qualifiers

Article

Conference

JCDL04

Sponsor:

JCDL04: ACM/IEEE Joint Conference on Digital Libraries 2004

June 7 - 11, 2004

AZ, Tuscon, USA

Acceptance Rates

JCDL '04 Paper Acceptance Rate 61 of 249 submissions, 24%;

Overall Acceptance Rate 415 of 1,482 submissions, 28%

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

4
Total Citations
View Citations
393
Total Downloads

Downloads (Last 12 months)2
Downloads (Last 6 weeks)0

Reflects downloads up to 16 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Sun KZhu YSong J(2019)Progress and Challenges on Entity Alignment of Geographic Knowledge BasesISPRS International Journal of Geo-Information10.3390/ijgi80200778:2(77)Online publication date: 6-Feb-2019
https://doi.org/10.3390/ijgi8020077
Arslan Ay SZimmermann RKim S(2010)Relevance ranking in georeferenced video searchMultimedia Systems10.1007/s00530-009-0177-x16:2(105-125)Online publication date: 1-Mar-2010
https://dl.acm.org/doi/10.1007/s00530-009-0177-x
Hariharan RHore BMehrotra SLarsen RPaepcke ABorbinha JNaaman M(2008)Discovering gis sources on the web using summariesProceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries10.1145/1378889.1378907(94-103)Online publication date: 16-Jun-2008
https://dl.acm.org/doi/10.1145/1378889.1378907
Kando NKanazawa TMiyazawa A(2006)Retrieval of Web Resources Using a Fusion of Ontology-Based and Content-Based Retrieval with the RS Vector Space Model on a Portal for Japanese Universities and Academic InstitutesProceedings of the 39th Annual Hawaii International Conference on System Sciences - Volume 0310.1109/HICSS.2006.420Online publication date: 4-Jan-2006
https://dl.acm.org/doi/10.1109/HICSS.2006.420

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Relevance and ranking in geographic information retrieval

Concept based representations for ranking in geographic information retrieval

Multi-Dimensional Scattered Ranking Methods for Geographic Information Retrieval*