Recognizing references to physical places inside short texts by using patterns as a sequence of grammatical categories

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dc.creatorSOL MARTINEZ, DAVID RICARDO; 61012
dc.creatorSOL MARTINEZ, DAVID RICARDO; 61012es
dc.date2017
dc.date.accessioned2018-10-19T13:37:32Z
dc.date.available2018-10-19T13:37:32Z
dc.descriptionCollecting data by crowdsourcing is an explored trend to support database population and update. This kind of data is unstructured and comes from text, in particular text in social networks. Geographic database is a particular case of database that can be populated by crowdsourcing which can be done when people report some urban event in a social network by writing a short message. An event can describe an accident or a non-functioning device in the urban area. The authorities then need to read and to interpret the message to provide some help for injured people or to fix a problem in a device installed in the urban area like a light or a problem on road. Our main interest is located on working with short messages organized in a collection. Most of the messages do not have geographical coordinates. The messages can then be classified by text patterns describing a location. In fact, people use a text pattern to describe an urban location. Our work tries to identify patterns inside a short text and to indicate when it describes a location. When a pattern is identified our approach look to describe the place where the event is located. The source messages used are tweets reporting events from several Mexican cities. © Authors 2017. CC BY 4.0 License.
dc.identifier.doi10.5194/isprs-archives-XLII-4-W3-83-2017
dc.identifier.endpage89
dc.identifier.issn16821750
dc.identifier.issue4W3
dc.identifier.startpage83
dc.identifier.urihttp://hdl.handle.net/11285/630607
dc.identifier.volume42
dc.languageeng
dc.publisherInternational Society for Photogrammetry and Remote Sensing
dc.relationhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85032644587&doi=10.5194%2fisprs-archives-XLII-4-W3-83-2017&partnerID=40&md5=640d8df6c55233893b8d37f6417f58cc
dc.relationInvestigadores
dc.relationEstudiantes
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.sourceInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
dc.subjectCrowdsourcing
dc.subjectDatabase systems
dc.subjectLocation
dc.subjectSmart city
dc.subjectGrammatical category
dc.subjectLocation identification
dc.subjectPatterns
dc.subjectReports
dc.subjectShort message
dc.subjectPopulation statistics
dc.subject.classification7 INGENIERÍA Y TECNOLOGÍA
dc.titleRecognizing references to physical places inside short texts by using patterns as a sequence of grammatical categories
dc.typeConferencia
refterms.dateFOA2018-10-19T13:37:32Z

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