GIR: Geographic Information Retrieval

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2016 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
GIR 2015 9th Workshop on Geographic Information Retrieval
Nov 26, 2015 - Nov 27, 2015 Paris, France Sep 18, 2015
GIR 2014 8th ACM SIGSPATIAL Workshop on Geographic Information Retrieval
Nov 4, 2014 - Nov 4, 2014 Dallas, Texas, USA Sep 7, 2014
GIR 2013 The 7th Workshop on Geographic Information Retrieval
Nov 5, 2013 - Nov 5, 2013 Orlando, Florida, USA Aug 16, 2013
GIR 2010 Workshop on Geographical Information Retrieval
Feb 18, 2010 - Feb 18, 2010 Zurich, Switzerland Dec 7, 2009
GIR 2008 Workshop on Geographical Information Retrieval
Oct 29, 2008 - Oct 29, 2008 Napa Valley, California, USA Jul 15, 2008
 
 

Present CFP : 2015

The 9th Workshop on Geographic Information Retrieval will be held in Paris, France on the 26-27th November, 2015. This workshop will address all aspects of Geographic Information Retrieval - that is the provision of methods to identify geographic scope, retrieve and relevance rank documents or other resources from both unstructured and partially structured collections on the basis of queries specifying both theme and geographic scope.

There is a vast quantity of information in text documents and other media that is referenced to geographic space. The discipline of Geographical Information Retrieval (GIR) is concerned with developing methods to gain access to this geographical information, with a particular focus on the content of web documents and social media. Because much of the information is in the form of unstructured or semi-structured text, there is a challenge to develop methods that can automatically recognise and interpret the geographical terminology and spatial or spatio-temporal concepts that people use when recording and querying the information. GIR falls at the intersection of Information Retrieval (IR) and Geographical Information Science (GIScience) resulting in research and systems development that benefits from the fusion of text-based methods for information extraction, natural language processing, indexing and search with GIS methods for spatial data management, analysis and visualization.

The workshop invites contributions on the following topics, and other research related to GIR:

Detection, disambiguation and geocoding of geographical references in text;

User needs for geographic search;

Classification of web documents and social media with regard to their geographic foci;

Interpretation of spatial natural language in documents and queries;

Extraction of geographically-specific facts and events from text documents and social media;

Spatial and spatio-temporal indexing of documents and other media objects;

Modelling, construction and integration of ontologies, gazetteers and geographic thesauri;

Reasoning with geo-spatial facts for purposes of information retrieval;

Geographical query interfaces for search on the web;

Geographic question / answering systems;

Geographic search engine architectures;

Relevance ranking of geographical information;

Evaluation methods for geographic search.

We invite both long papers (10 pages) and short papers (2 pages). Long papers are expected to report on relatively mature research results, while short papers may cover more speculative or early stage research that will stimulate discussion at the workshop.
 

Related Resources

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JDIQ-RIR 2018   Special issue on Reproducibility in Information Retrieval ACM Journal of Data and Information Quality
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DILS 2017   12th International Conference on Data Integration in Life Science
IP&M SI 2017   IP&M Special Issue on Processing Social Media in Real-Time
ISWC 2017   16th International Semantic Web Conference
RAAI 2017   1st Conference on Recent Advances in Artificial Intelligence (RAAI)
RecSys 2017   RecSys 2017 : 11th ACM Conference on Recommender Systems
birndl 2017   Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries
EnGeoData - JDSA 2017   Special Issue on Environmental and Geospatial Data Analytics - International Journal of Data Science and Analytics, Springer