A PageRank-based Reputation Model for VGI Data | Zendy

Carlo Lodigiani | Zendy; Michele Melchiori | Zendy

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A PageRank-based Reputation Model for VGI Data

Author(s) -

Carlo Lodigiani,

Michele Melchiori

Publication year - 2016

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2016.09.088

Subject(s) - volunteered geographic information , computer science , pagerank , reputation , geospatial analysis , graph , information retrieval , data mining , data science , proxy (statistics) , theoretical computer science , machine learning , social science , cartography , sociology , geography

Quality of data is one of the key issues in the domain of Volunteered geographic information (VGI). To this purpose, in literature VGI data has been sometime compared with authoritative geospatial data. Evaluation of single contributions to VGI databases is more relevant for some applications and typically relies on evaluating reputation of contributors and using it as proxy measures for data quality. In this paper, we present a novel approach for reputation evaluation that is based on the well known PageRank algorithm for Web pages. We use a simple model for describing different versions of a geospatial entity in terms of corrections and completions. Authors, VGI contributions and their mutual relationships are modeled as nodes of a graph. In order to evaluate reputation of authors and contributions in the graph we propose an algorithm that is based on the personalized version of PageRank

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