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Relevance Assessment of Crowdsourced Data (CSD) Using Semantics and Geographic Information Retrieval (GIR) Techniques
16 references·0 citing·43 second hop
Relevance Assessment of Crowdsourced Data (CSD) Using Semantics and Geographic Information Retrieval (GIR) Techniques (2018)Relevance Assessment of Crowdsourced Data…VGI and crowdsourced data credibility analysis using spam email detection techniques (2017)VGI and crowdsourced data cre…A Rule-Based Spatial Reasoning Approach for OpenStreetMap Data Quality Enrichment; Case Study of Routing and Navigation (2017)A Rule-Based Spatial Reasonin…Safety-aware routing for motorised tourists based on open data and VGI (2016)Safety-aware routing for moto…European Handbook of Crowdsourced Geographic Information (2016)European Handbook of Crowdsou…Beyond data collection: Objectives and methods of research using VGI and geo-social media for disaster management (2016)Beyond data collection: Objec…A review of volunteered geographic information quality assessment methods (2016)A review of volunteered geogr…A Review of Volunteered Geographic Information for Disaster Management (2015)A Review of Volunteered Geogr…Content Analysis in an Era of Big Data: A Hybrid Approach to Computational and Manual Methods (2013)Content Analysis in an Era of…Automated geographic context analysis for volunteered information (2013)Automated geographic context …Assuring the quality of volunteered geographic information (2012)Assuring the quality of volun…Relevance theory and citations (2011)Relevance theory and citationsJournal of Spatial Information Science (2011)Journal of Spatial Informatio…The credibility of volunteered geographic information (2008)The credibility of volunteere…OpenStreetMap: User-Generated Street Maps (2008)OpenStreetMap: User-Generated…Geographical information retrieval (2008)Geographical information retr…Citizens as sensors: the world of volunteered geography (2007)Citizens as sensors: the worl…The Digital Divide as a Complex and Dynamic Phenomenon (2003)Public Participation Geographic Information Systems: A Literature Review and Framework (2006)A review of informal volunteerism in emergencies and disasters: Definition, opportunities and challenges (2015)Big data and disaster management: a systematic review and agenda for future research (2017)Disaster City Digital Twin: A vision for integrating artificial and human intelligence for disaster management (2019)Content Analysis: An Introduction to its Methodology. 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The Validity of Linus’ Law to Volunteered Geographic Information (2010)Volunteered Geographic Information and Crowdsourcing Disaster Relief: A Case Study of the Haitian Earthquake (2010)Where's Downtown?: Behavioral Methods for Determining Referents of Vague Spatial Queries (2003)The Geospatial Web (2007)Modelling vague places with knowledge from the Web (2008)A weighted multi-attribute method for matching user-generated Points of Interest (2014)Towards the next generation of Geospatial Artificial Intelligence (2025)Judgment under Uncertainty: Heuristics and Biases (1974)Judgment under Uncertainty: Heuristics and Biases (1975)Geographic information systems and science (2005)Geographic information systems and science (2011)4 What Is Web 2.0? Design Patterns and Business Models for the Next Generation of Software (2012)Citizen Science and Volunteered Geographic Information: Overview and Typology of Participation (2012)Central Places in Southern Germany (1967)A Computer Movie Simulating Urban Growth in the Detroit Region (1970)Key issues and research priorities for public participation GIS (PPGIS): A synthesis based on empirical research (2013)Geospatial big data handling theory and methods: A review and research challenges (2015)Global maps of travel time to healthcare facilities (2020)How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets (2010)The world’s user-generated road map is more than 80% complete (2017)Passive crowdsourcing of social media in environmental research: A systematic map (2019)OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing (2020)Citizens as Sensors: The World of Volunteered Geography (2011)Location based services: ongoing evolution and research agenda (2018)Social Media data: Challenges, opportunities and limitations in urban studies (2018)Emerging trends and research frontiers in spatial multicriteria analysis (2020)The ghost map : the story of London's most terrifying epidemic--and how it changed science, cities, and the modern world (2007)Crowdsourcing geographic information for disaster response: a research frontier (2010)The convergence of GIS and social media: challenges for GIScience (2011)Spatial, temporal, and socioeconomic patterns in the use of Twitter and Flickr (2013)
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References

  • 2007Citizens as sensors: the world of volunteered geography4,544 cited
  • 2008OpenStreetMap: User-Generated Street Maps3,219 cited
  • 2012Assuring the quality of volunteered geographic information773 cited
  • 2008The credibility of volunteered geographic information751 cited
  • 2016A review of volunteered geographic information quality assessment methods495 cited
  • 2011Journal of Spatial Information Science457 cited
  • 2013Content Analysis in an Era of Big Data: A Hybrid Approach to Computational and Manual Methods419 cited
  • 2008Geographical information retrieval198 cited
  • 2016European Handbook of Crowdsourced Geographic Information166 cited
  • 2015A Review of Volunteered Geographic Information for Disaster Management162 cited
  • 2016Beyond data collection: Objectives and methods of research using VGI and geo-social media for disaster management106 cited
  • 2013Automated geographic context analysis for volunteered information84 cited
  • 2011Relevance theory and citations45 cited
  • 2016Safety-aware routing for motorised tourists based on open data and VGI39 cited
  • 2017A Rule-Based Spatial Reasoning Approach for OpenStreetMap Data Quality Enrichment; Case Study of Routing and Navigation

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33 cited
  • 2017VGI and crowdsourced data credibility analysis using spam email detection techniques18 cited
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