ACM Home Page
Please provide us with feedback. Feedback
Geographic scope modeling for web documents
Full text PdfPdf (175 KB)
Source
Workshop On Geographic Information Retrieval archive
Proceeding of the 2nd international workshop on Geographic information retrieval table of contents
Napa Valley, California, USA
SESSION: Geoparsing, scoping, and disambiguation table of contents
Pages 11-18  
Year of Publication: 2008
ISBN:978-1-60558-253-5
Authors
Cláudio Elízio Calazans Campelo  University of Campina Grande, Campina Grande - PB, Brazil
Cláudio de Souza Baptista  University of Campina Grande, Campina Grande - PB, Brazil
Sponsors
SIGIR: ACM Special Interest Group on Information Retrieval
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 21,   Downloads (12 Months): 212,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1460007.1460010
What is a DOI?

ABSTRACT

Geographic Information Retrieval (GIR) has become a very attractive area of research. GIR is a specialization of a traditional information retrieval system, which may index and search Web documents based on their spatial footprints. Research in this new field may be categorized into crawling spatial-related documents, modeling the geographic scope of a document, indexing these documents using textual and spatial features, and the building of spatially-enabled searching and ranking. This paper presents a method for modeling the geographic scope. The proposed model is based on both the statistics collected from the detected references; and the spatial distribution of the places involved in a given document. This model aims to simplify the indexing and searching processes. Furthermore, the number of spatial operations is reduced, as a consequence the overall performance is improved.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

1
 
2
M. J. Silva, B. Martins, M. S. Chaves, A. P. Afonso and N. Cardoso. Adding Geographic Scopes to Web Resources. CEUS -- Computers, Environment and Urban Systems. July, 2006.
 
3
O. Buyukkokten, J. Cho, H. Garcia-Molina, L. Gravano and N. Shivakumar. Exploiting Geographical Location Information of Web Pages. WebDB (Informal Proceedings). 1999.
 
4
 
5
 
6
L. Page, S. Brin, R. Motwani and T. Winograd. The PageRank citation ranking: Bringing order to the Web. Technical Report SIDL-WP-1999-0120, Stanford Digital Library, 1999.
 
7
C. B. Jones, A. I. Abdelmoty, D. Finch, G. Fu and S. Vaid. The SPIRIT Spatial Search Engine: Architecture, Ontologies and Spatial Indexing. In Proceedings of Third International Conference on Geographic Information Science -- GIScience 2004, Maryland, USA, Lecture Notes in Computer Science 3234,125--139. 2004.
 
8
9
 
10
A. Markowetz, Yen-Yu Chen, Torsten Suel, Xiaohui Long and Bernhard Seeger. Design and Implementation of a Geographic Search Engine. WebDB. Baltimore, 2005.
 
11
A. Markowetz, Yen-Yu Chen, Torsten Suel, Xiaohui Long and Bernhard Seeger. Design and Implementation of a Geographic Search Engine. Technical Report TR-CIS-2005-03, CIS Department, Polytechnic University, February 2005.
 
12
A. Markowetz, T. Brinkhoff and Bernhard Seeger. Exploiting the Internet as a Geospatial Database. Workshop on Next Generation Geospatial Information. Boston, 2005.
13
 
14
Zhisheng Li, Chong Wang, Xing Xie, Xufa Wang and Wei-Ying Ma. Indexing implicit locations for geographical information retrieval. The 3rd International Workshop on Geographic Information Retrieval, GIR 2006, Seattle, USA, Aug. 2006.
15
 
16
Yi Li, Alistair Moffat, Nicola Stokes, Lawrence Cavedon. Exploring Probabilistic Toponym Resolution for Geographical Information Retrieval. The 3rd ACM Workshop On Geographic Information Retrieval, GIR 2006, Seattle, WA, USA, August 10, 2006.
 
17
TGN, Getty Thesaurus of Geographic Names. http://www.getty.edu/research/conducting_research/vocabularies/tgn/;
 
18
Simon Overell, João Magalhães, Stefan Rüger. GIR experiements with Forostar at GeoCLEF 2007. GeoCLEF Workshop 2007, Budapest, Hungary, September 2007.
 
19
 
20
Khare, R., Cutting, D., Sitaker, K. and Rifkin, A. Nutch: A Flexible and Scalable Open-Source Web Search Engine. CommerceNet Labs, CN-TR-04-04, November 2004.
 
21
Apache Nutch. http://lucene.apache.org/nutch/, acessed June 19, 2008.
 
22
Apache Lucene. http://lucene.apache.org/, acessed June 19, 2008.

Collaborative Colleagues:
Cláudio Elízio Calazans Campelo: colleagues
Cláudio de Souza Baptista: colleagues