posted by user: mroche || 10522 views || tracked by 30 users: [display]

GeoDoc 2012 : Geospatial Information and Documents

FacebookTwitterLinkedInGoogle

Link: http://www.lirmm.fr/~mroche/GeoDoc2012/
 
When May 29, 2012 - Jun 1, 2012
Where Kuala Lumpur, Malaysia
Submission Deadline Jan 22, 2012
Notification Due Feb 10, 2012
Final Version Due Feb 24, 2012
Categories    data mining   natural language processing   geospatial information   information retrieval
 

Call For Papers

Geographical or spatial information is now included in most of exchanged data. Sometimes, it is directly provided through metadata, but it is very often hidden and it becomes crucial to automatically discover it.

Natural Language Processing (NLP) and Data Mining communities have thus merged their efforts in order to extract geospatial information from textual documents, web pages, field data, and so forth. In this way, recent researches take into account the content of documents (e.g. terms) to identify geospatial data or to predict its geographic location.

Nevertheless, spatial information has some specificities that make discovering spatial information and/or spatial correlations from large amount of data still challenging. In this context, some proposals have been focused on the formalization of geospatial concepts and relationships, on the extraction of geospatial relations (e.g. rivers / body of water, town / suburb) in free texts to offer to the database community a unified framework for geodata discovery.

This workshop aims at discussing and assessing some of these strategies, involving NLP or Data Mining techniques, covering all or part of the issues mentioned above.

Topics of interest but not limited to:
- Geospatial information retrieval in documens
- Geospatial knowledge acquisition from documents
- Classification of geospatial documents
- Geospatial analysis of textual data
- Integration of geospatial documents
- Extraction of geospatial information from documents
- Geospatial theasurus/ontology building from documents
- Quality of extracted geospatial information
- Analysis and integration of geospatial data from web documents
- Visualization of geospatial information from documents

Related Resources

CoMSE 2023   2023 International Conference on Materials Science and Engineering (CoMSE 2023)
MLDM 2023   18th International Conference on Machine Learning and Data Mining
ENC 2022   Track: Scientific Computation Applied to Geospatial Problems, Encuentro Nacional de ComputaciĆ³n 2022 (ENC 2022)
EI-ISEEIE 2023   2023 International Symposium on Electrical, Electronics and Information Engineering(ISEEIE 2023)
ACM-Ei/Scopus-ITNLP 2022   2022 2nd International Conference on Information Technology and Natural Language Processing (ITNLP 2022) -EI Compendex
NLTM 2023   3rd International Conference on NLP & Text Mining
JCICE 2023   2023 6th International Joint Conference on Information and Communication Engineering (JCICE 2023
CLNLP 2022   2022 3rd International Conference on Computational Linguistics and Natural Language Processing (CLNLP 2022)
ICoSMS 2023   2023 International Conference on Smart Materials and Surfaces (ICoSMS 2023)
CAiSE 2023   35th International Conference on Advanced Information Systems Engineering