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A Ranking Approach Based on Example Texts for Geographic Information Retrieval [chapter]

Esaú Villatoro-Tello, Manuel Montes-y-Gómez, Luis Villaseñor-Pineda
2009 Lecture Notes in Computer Science  
This paper focuses on the problem of ranking documents for Geographic Information Retrieval.  ...  Experimental results indicated that our approach could improve the MAP of some sets of retrieved documents using only two example texts.  ...  Based on these facts, we designed a new GIR method that aims to improve the ranking of retrieved documents by considering information from some query-related example texts.  ... 
doi:10.1007/978-3-642-04447-2_115 fatcat:t6dbbldub5evhedmlegd6mzeiy

Indexing implicit locations for geographical information retrieval

Zhisheng Li, Chong Wang, Xing Xie, Xufa Wang, Wei-Ying Ma
2006 Workshop on Geographic Information Retrieval  
How to retrieve geographical information correctly and efficiently is a key challenge to location-based search services.  ...  Experimental results based on Geo-CLEF 2006 (a cross-language geographical retrieval track which is part of Cross Language Evaluation Forum) data sets show that the proposed method can retrieve geographical  ...  CONCLUSIONS Geographical information retrieval is a new area that builds on both traditional information retrieval and geographical information systems.  ... 
dblp:conf/gir/LiWXWM06 fatcat:dz37mtv5ifb4xmirsefaolg4pe

Geographic Information Retrieval: Progress and Challenges in Spatial Search of Text

Ross S. Purves, Paul Clough, Christopher B. Jones, Mark H. Hall, Vanessa Murdock
2018 Foundations and Trends in Information Retrieval  
"Evaluating geographical knowledge re-ranking, linguistic processing and query expansion techniques for geographical information retrieval".  ...  Based on these values, documents are ranked, and the results presented to the user in the interface.  ... 
doi:10.1561/1500000034 fatcat:yybad2cafvdcdfpepcs2kgb6me

The design and implementation of SPIRIT: a spatially aware search engine for information retrieval on the Internet

Ross S. Purves, Paul Clough, Christopher B. Jones, Avi Arampatzis, Benedicte Bucher, David Finch, Gaihua Fu, Hideo Joho, Awase Khirni Syed, Subodh Vaid, Bisheng Yang
2007 International Journal of Geographical Information Science  
Normalised precision for 38 queries, containing four types of spatial relationships is significantly higher (p < 0.001) for search exploiting spatial information than pure text search. place name.  ...  Equally, geographic terms which may be shared between locations -for example, there are literally hundreds of Newportsare not disambiguated, and thus the user is unlikely to find relevant results for a  ...  Two variations of the distributed method exist, one based on the angle of a yet un-ranked point to the already ranked, and one based on its distance from the already ranked.  ... 
doi:10.1080/13658810601169840 fatcat:wyc4llj5avaijazbreyb6enku4

Performance Oriented Query Processing In GEO Based Location Search Engines [article]

M. Umamaheswari, S. Sivasubramanian
2010 arXiv   pre-print
Geographic location search engines allow users to constrain and order search results in an intuitive manner by focusing a query on a particular geographic region.  ...  Geographic search engine query processing is different in that it requires a combination of text and spatial data processing techniques.  ...  This is done by using a text index structure called an inverted index to retrieve the IDs of pages containing the keywords, and then evaluating a term-based ranking function on these pages to determine  ... 
arXiv:1005.0961v1 fatcat:xpljyodrjnbfpntzdm47jltobu

A machine learning approach to determining tag relevance in geotagged Flickr imagery

Mark Hughes, Noel E. O'Connor, Gareth J. F. Jones
2012 2012 13th International Workshop on Image Analysis for Multimedia Interactive Services  
To classify tag relevance, we propose a novel feature set based on statistical information available for each tag within a collection of geotagged images harvested from Flickr.  ...  We present a novel machine learning based approach to determining the semantic relevance of community contributed image annotations for the purposes of image retrieval.  ...  To measure the geographical distribution of a text tag, we extract a feature based on geographical variance.  ... 
doi:10.1109/wiamis.2012.6226774 dblp:conf/wiamis/HughesOJ12 fatcat:gi7tehsye5hgva2e22yhx74hy4

GIR Experimentation [chapter]

Andogah Geoffrey
2007 Lecture Notes in Computer Science  
Geographic Information Retrieval (GIR) community has generally accepted the thesis that both thematic and geographic aspect of documents may be useful for GIR.  ...  Two indexes were created one for extracted geographic relevant-terms (i.e. document footprint) and one for reference document collections.  ...  titled "Building a sustainable ICT training capacity in the public universities in Uganda".  ... 
doi:10.1007/978-3-540-74999-8_111 fatcat:q4irlc76onexzjpn5ejfmxsyde

Geographical Information Retrieval [chapter]

Linda L. Hill, Mehmet M. Dalkiliç, Brahim Medjahed, Mourad Ouzzani, Ahmed K. Elmagarmid, Joseph M. Hellerstein, Colin R. Reeves, Christopher B. Jones, Ross S. Purves, Michael F. Goodchild, Jayant Sharma, John Herring (+24 others)
2009 Encyclopedia of Database Systems  
terms-and-conditions-of-access.pdf This article may be used for research, teaching and private study purposes.  ...  The publisher shall not be liable for any loss, actions, claims, proceedings, demand or costs or damages whatsoever or howsoever caused arising directly or indirectly in connection with or arising out  ...  It is this need for public access to geographical information on the Web that has been a major motivation for the growth of the academic field of geographical information retrieval (GIR) .  ... 
doi:10.1007/978-0-387-39940-9_177 fatcat:exzwh6xszvge7puucwbhvzvrgu

EFFICACIOUS GEOSPATIAL INFORMATION RETRIEVAL USING DENSITY PROBABILISTIC DOCUMENT CORRELATION APPROACH

Uma
2013 Journal of Computer Science  
Depending on the DPDC approach result we predict overlap of the feature set for a document. Based on overlap and document correlation, the documents are ranked.  ...  Information Retrieval (IR) is a profound technique to find information that addresses the need of query. Processing of normal text is easier and information can be retrieved efficiently.  ...  We proposed a method based on DPDC approach for effective retrieval.  ... 
doi:10.3844/jcssp.2013.83.93 fatcat:grourvpnxrelrmwjzxaqcgkgoi

Concept Based Representations for Ranking in Geographic Information Retrieval [chapter]

Maya Carrillo, Esaú Villatoro-Tello, Aurelio López-López, Chris Eliasmith, Luis Villaseñor-Pineda, Manuel Montes-y-Gómez
2010 Lecture Notes in Computer Science  
A key reason for this ranking problem has been a lack of information.  ...  Geographic Information Retrieval (GIR) is a specialized Information Retrieval (IR) branch that deals with information related to geographical locations.  ...  GIR Related Work Geographical Information Retrieval (GIR) considers the search for documents based not only on conceptual keywords, but also on spatial information (i.e., geographical references) [18]  ... 
doi:10.1007/978-3-642-14770-8_11 fatcat:ykrq3jwchvhhtjoicatbs2pbvu

Using the geographic scopes of web documents for contextual advertising

Ivo Anastácio, Bruno Martins, Pável Calado
2010 Proceedings of the 6th Workshop on Geographic Information Retrieval - GIR '10  
Current approaches involve targeting ads based on the physical location of the visitors, estimated through their IP addresses.  ...  Our proposal applies techniques from the area of geographic information retrieval to the problem of geotargeting.  ...  As for the existing approaches for retrieving documents according to geographic relevance, they are mostly based on combinations of the standard IR metrics used in text retrieval (e.g. cosine similarity  ... 
doi:10.1145/1722080.1722103 dblp:conf/gir/AnastacioMC10 fatcat:np7mfzdlwbd7pfazxc5pahpaua

The Sequoia 2000 Electronic Repository

Ray R. Larson, Christian Plaunt, Allison Woodruff, Marti A. Hearst
1995 Digital technical journal of Digital Equipment Corporation  
We chose this approach rather than adopting a separate retrieval system for full-text indexing and retrieval for the following reasons: 1.  ...  based on locations mentioned in the text, and the TextTiling method for improving access to full-text documents.  ... 
dblp:journals/dtj/LarsonPWH95 fatcat:oe5jsg3ywfckbb6tcy6emv2kle

MMIS at ImageCLEF 2008: Experiments combining Different Evidence Sources

Simon E. Overell, Ainhoa Llorente, Haiming Liu, Rui Hu, Adam Rae, Jianhan Zhu, Dawei Song, Stefan M. Rüger
2008 Conference and Labs of the Evaluation Forum  
Our top performing method in the VCDT enhances supervised learning by modifying probabilities based on a matrix that shows how terms appear together.  ...  In the ImageCLEFphoto task we demonstrate that evidence from image retrieval can provide a contribution to retrieval; however we are yet to find a way of combining text and image evidence in a way to provide  ...  Text Indexer Our text retrieval system is based on Apache Lucene [15] .  ... 
dblp:conf/clef/OverellL0HRZSR08 fatcat:6xt3ydk4efhanfhsv2ca2lzhoy

UNSW at GeoCLEF 2006

You-Heng Hu, Linlin Ge
2006 Conference and Labs of the Evaluation Forum  
The results of our experiments show that the geographic knowledge base, the indexing module and the retrieval module are useful for geographic information retrieval tasks, but the proposed ranking function  ...  Our retrieval system consists of four modules: the geographic knowledge base; the indexing module; the document retrieval module and the ranking module.  ...  scheme for document searching, a Boolean model (Salton 1989) for document retrieval and a ranking function discovery algorithm based on Genetic Programming (GP) (Koza 1992) .  ... 
dblp:conf/clef/HuG06a fatcat:7rpnn7smgndelkxujt3tcpp6bq

Development and evaluation of a geographic information retrieval system using fine grained toponyms

Ross Purves, Damien Palacio, Curdin Derungs
2015 Journal of Spatial Information Science  
Geographic information retrieval (GIR) is concerned with returning information in response to an information need, typically expressed in terms of a thematic and spatial component linked by a spatial relationship  ...  We explore the effectiveness of three systems (a text baseline, spatial query expansion, and a full GIR system utilizing both text and spatial indexes) at retrieving documents from a corpus describing  ...  We also thank three anonymous reviewers for their constructive suggestions which helped us improve and clarify this paper. Elise Acheson is also thanked for her helpful comments on the manuscript.  ... 
doi:10.5311/josis.2015.11.193 fatcat:oybs5w7bdzaa3odtmkuwokdc7a
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