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Text Meets Space: Geographic Content Extraction, Resolution and Information Retrieval
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The website of Coburg University of Applied Sciences was translated using translation software provided by a third-party provider such as DeepL. The official text is the German version of the website. No liability is assumed, either explicitly or implicitly, for the accuracy, reliability, or correctness of the translations into another language.

Text Meets Space: Geographic Content Extraction, Resolution and Information Retrieval

In this half-day tutorial, we will review the basic concepts of, methods for, and applications of geographic information retrieval, also showing some possible applications in fields such as the digital humanities. The tutorial is organized in four parts. First we introduce some basic ideas about geography, and demonstrate why text is a powerful way of exploring relevant questions. We then introduce a basic end-to-end pipeline discussing geographic information in documents, spatial and multi-dimensional indexing [19], and spatial retrieval and spatial filtering. After showing a range of possible applications, we conclude with suggestions for future work in the area.

Titel:

Text Meets Space: Geographic Content Extraction, Resolution and Information Retrieval

Veröffentlichungsdatum:

08.04.2020

Publikationsart:

Beitrag zu wissenschaftlicher Konferenz/Tagung

Forschungsschwerpunkt:

kein FSP zugeordnet

Medien:

Proceedings of the 42nd European Conference on Information Retrieval Research (ECIR 2020), Lisbon, Portugal, April 14–17, 2020

DOI:

Weblink:

Heft:

Band:

II

Artikelnummer:

ISBN:

Autoren:

Jochen Leidner, Bruno Martins, Katherine McDonough, Ross S. Purves

Medien:

Proceedings of the 42nd European Conference on Information Retrieval Research (ECIR 2020), Lisbon, Portugal, April 14–17, 2020

Herausgeber:

Springer Nature

Seiten:

669-673

Open Access:

Peer reviewed:

Ja

Zitierung:

Leidner, Jochen L.; Martins, Bruno; McDonough, Katherine; Purves, Ross S. (2020): Text Meets Space: Geographic Content Extraction, Resolution and Information Retrieval. Proceedings of the 42nd European Conference on Information Retrieval Research (ECIR 2020), Lisbon, Portugal, April 14–17, 2020 II, S. 669-673. DOI: 10.1007/978-3-030-45442-5_89

Autoren:

Jochen Leidner, Bruno Martins, Katherine McDonough, Ross S. Purves