An Approach for Semantically Enriching Volunteered Geographic Data with Linked Data

Volunteered geographic information (VGI), which pertains to geographic information voluntarily collected and shared, represents a paradigm shift in the way geographic information is created and shared. However, there are still hurdles in properly using such information. One alternative to improve the use of VGI is to use semantic enrichment. Semantic enrichment is a potential way of mitigating several issues that plague VGI such as low data quality, unreliability, and difficulty in use and recovery, among others. The present study discusses the possibility of semantically enriching volunteered geographic data using Linked Data and presents a simplified algorithm to automate this process.

[1]  Schade Sven,et al.  Augmenting SDI with Linked Data , 2010 .

[2]  Olaf Hartig Provenance Information in the Web of Data , 2009, LDOW.

[3]  Pascal Neis,et al.  Recent Developments and Future Trends in Volunteered Geographic Information Research: The Case of OpenStreetMap , 2014, Future Internet.

[4]  Connie M. White,et al.  Social Media, Crisis Communication, and Emergency Management: Leveraging Web 2.0 Technologies , 2011 .

[5]  Wei Luo,et al.  Volunteered geographic services: developing a linked data driven location-based service , 2011, SSO '11.

[6]  Chris Clarke A Resource List Management Tool for Undergraduate Students Based on Linked Open Data Principles , 2009, ESWC.

[7]  Tim Berners-Lee,et al.  Linked Data - The Story So Far , 2009, Int. J. Semantic Web Inf. Syst..

[8]  A. Zipf,et al.  A Comparative Study of Proprietary Geodata and Volunteered Geographic Information for Germany , 2010 .

[9]  Tom Heath,et al.  Linked Data: Evolving the Web into a Global Data Space , 2011, Linked Data.

[10]  Ikuya Yamada,et al.  An End-to-End Entity Linking Approach for Tweets , 2015, #MSM.

[11]  Derrick G. Kourie,et al.  Challenges for quality in volunteered geographical information , 2011 .

[12]  John Krumm,et al.  Discovering points of interest from users’ map annotations , 2008 .

[13]  S. V. Ronzhin,et al.  Semantic enrichment of Volunteered Geographic Information using Linked Data: a use case scenario for disaster management , 2015 .

[14]  Xianpei Han,et al.  Named entity disambiguation by leveraging wikipedia semantic knowledge , 2009, CIKM.

[15]  Huiji Gao,et al.  Harnessing the Crowdsourcing Power of Social Media for Disaster Relief , 2011, IEEE Intelligent Systems.

[16]  Ming-Wei Chang,et al.  To Link or Not to Link? A Study on End-to-End Tweet Entity Linking , 2013, NAACL.

[17]  Jens Lehmann,et al.  LinkedGeoData: A core for a web of spatial open data , 2012, Semantic Web.

[18]  Michael F. Goodchild,et al.  Citizens as Voluntary Sensors: Spatial Data Infrastructure in the World of Web 2.0 , 2007, Int. J. Spatial Data Infrastructures Res..

[19]  Michela Bertolotto,et al.  Semantically Enriching VGI in Support of Implicit Feedback Analysis , 2011, W2GIS.

[20]  Patrícia C. Azevedo Uma proposta para visualização de linked data sobre enchentes na Bacia do Rio Doce , 2013 .

[21]  Raphaël Troncy,et al.  Analysis of named entity recognition and linking for tweets , 2014, Inf. Process. Manag..

[22]  Lydia B. Chilton,et al.  Tabulator: Exploring and Analyzing linked data on the Semantic Web , 2006 .

[23]  M. Goodchild,et al.  Researching Volunteered Geographic Information: Spatial Data, Geographic Research, and New Social Practice , 2012 .