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

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Text Meets Space: Geographic Content Extraction, Resolution and Information Retrieval Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Text Meets Space: Geographic Content Extraction, Resolution and Information Retrieval
Creator	Martins, Bruno Leidner, Jochen Mcdonough, Katherine Purves, Ross
Source	PMC
abstract	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.
has issue date	2020-03-24(xsd:dateTime)
bibo:doi	10.1007/978-3-030-45442-5_89
has license	no-cc
sha1sum (hex)	2c36ea09786e80d9676de3075e7d597a16e47cfb
schema:url	https://doi.org/10.1007/978-3-030-45442-5_89
resource representing a document's title	Text Meets Space: Geographic Content Extraction, Resolution and Information Retrieval
has PubMed Central identifier	PMC7148063
schema:publication	Advances in Information Retrieval
resource representing a document's body	covid:2c36ea09786e80d9676de3075e7d597a16e47cfb#body_text
is schema:about of	named entity 'pipeline' named entity 'retrieval' named entity 'organized' named entity 'parts' named entity 'basic' named entity 'indexing' named entity 'geographic' named entity 'digital humanities' named entity 'Information Retrieval' named entity 'source criticism' named entity 'information retrieval' named entity 'information sciences' named entity 'target audience' named entity 'Queen Mary, University of London' named entity 'IoT' named entity 'digital humanities' named entity 'mobile computing devices' named entity 'targeted groups' named entity 'Geographic Information Retrieval' named entity 'text mining' named entity 'text documents' named entity 'INESC-ID' named entity 'textual documents' named entity 'methodological issues' named entity 'ECIR' named entity 'information retrieval' named entity 'geographic information' named entity 'ECIR' named entity 'information systems' named entity 'Bates College' named entity 'networked sensors' named entity 'Web search' named entity 'GPS' named entity 'in-car navigation' named entity 'international conferences' named entity 'CIKM' named entity 'information access' named entity 'unstructured data' named entity 'document collections' named entity 'computational social sciences' named entity 'Instituto Superior Técnico' named entity 'Internet of Things' named entity 'Stanford University' named entity 'SIGIR' named entity 'PERSEUS digital library' named entity 'geographic information retrieval' named entity 'Digital Humanities' named entity 'humanities' named entity 'mobile devices' named entity 'humanistic' named entity 'information access' named entity 'information retrieval' named entity 'digital humanities' named entity 'natural language' named entity 'textual documents' named entity 'information sciences' named entity 'Information Retrieval' named entity 'research projects' named entity 'geospatial analysis' named entity 'GIS' named entity 'information access' named entity 'digital humanities' named entity 'Toponym' named entity 'machine learning' named entity 'Research Fellow' named entity 'information retrieval' named entity 'body of research' named entity 'Western Sydney University' named entity 'humanities' named entity 'geographic information retrieval' named entity 'ACM' named entity 'Machine Learning' named entity 'University of Lisbon' named entity 'University of Zurich' named entity 'geographic information' named entity 'TUTORIAL' named entity 'geographic information retrieval' named entity 'TEXT' named entity 'INFORMATION' named entity 'END'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software