Data di Pubblicazione:
2016
Abstract:
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 dierent 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.
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 dierent 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.
Tipologia CRIS:
4.1 Contributo in Atti di convegno
Keywords:
VGI, volunteered geographic information, reputation model, trust model, VGI data model, PageRank
Elenco autori:
Lodigiani, Carlo; Melchiori, Michele
Link alla scheda completa:
Titolo del libro:
Proc. of Workshops of the 7th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN)
Pubblicato in: