A conceptual model of the automated credibility assessment of the volunteered geographic information

The use of Volunteered Geographic Information (VGI) in collecting, sharing and disseminating geospatially referenced information on the Web is increasingly common. The potentials of this localized and collective information have been seen to complement the maintenance process of authoritative mapping data sources and in realizing the development of Digital Earth. The main barrier to the use of this data in supporting this bottom up approach is the credibility (trust), completeness, accuracy, and quality of both the data input and outputs generated. The only feasible approach to assess these data is by relying on an automated process. This paper describes a conceptual model of indicators (parameters) and practical approaches to automated assess the credibility of information contributed through the VGI including map mashups, Geo Web and crowd – sourced based applications. There are two main components proposed to be assessed in the conceptual model – metadata and data. The metadata component comprises the indicator of the hosting (websites) and the sources of data / information. The data component comprises the indicators to assess absolute and relative data positioning, attribute, thematic, temporal and geometric correctness and consistency. This paper suggests approaches to assess the components. To assess the metadata component, automated text categorization using supervised machine learning is proposed. To assess the correctness and consistency in the data component, we suggest a matching validation approach using the current emerging technologies from Linked Data infrastructures and using third party reviews validation. This study contributes to the research domain that focuses on the credibility, trust and quality issues of data contributed by web citizen providers.

[1]  Brent Auernheimer,et al.  Web site credibility: Why do people believe what they believe? , 2009 .

[2]  Don Fallis,et al.  Research Paper: Indicators of Accuracy of Consumer Health Information on the Internet: A Study of Indicators Relating to Information for Managing Fever in Children in the Home , 2002, J. Am. Medical Informatics Assoc..

[3]  Natalia Grabar,et al.  Automatic Retrieval of Web Pages with Standards of Ethics and Trustworthiness Within a Medical Portal: What a Page Name Tells Us , 2007, AIME.

[4]  Mohamed Bishr,et al.  A trust and reputation model for filtering and classifying knowledge about urban growth , 2008 .

[5]  Jens Lehmann,et al.  LinkedGeoData: Adding a Spatial Dimension to the Web of Data , 2009, SEMWEB.

[6]  Claire Ellul,et al.  Assessing Data Completeness of VGI through an Automated Matching Procedure for Linear Data , 2012, Trans. GIS.

[7]  M. Goodchild.  Citizens as sensors: the world of volunteered geography , 2007 .

[8]  Miriam J. Metzger,et al.  Using Web 2.0 Technologies to Enhance Evidence-Based Medical Information , 2011, Journal of health communication.

[9]  D. R. Danielson,et al.  How do users evaluate the credibility of Web sites?: a study with over 2,500 participants , 2003, DUX '03.

[10]  Mark Graham,et al.  Neogeography and Volunteered Geographic Information: A Conversation with Michael Goodchild and Andrew Turner , 2013 .

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

[12]  Thea van der Geest,et al.  Color matters: color as trustworthiness cue in web sites , 2011 .

[13]  B. J. Fogg,et al.  The elements of computer credibility , 1999, CHI '99.

[14]  Michael F. Goodchild,et al.  Assuring the quality of volunteered geographic information , 2012 .

[16]  Miriam J. Metzger,et al.  The credibility of volunteered geographic information , 2008 .

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

[18]  Robert Jeansoulin,et al.  Towards spatial data quality information analysis tools for experts assessing the fitness for use of spatial data , 2007, Int. J. Geogr. Inf. Sci..