测绘学报 ›› 2015, Vol. 44 ›› Issue (5): 578-584.doi: 10.11947/j.AGCS.2015.20140065

• 地图学与地理信息 • 上一篇    下一篇

地理信息志愿者信誉度评估的版本相似度模型——以面目标为例

赵肄江1,2, 周晓光1   

  1. 1. 中南大学地球科学与信息物理学院, 湖南 长沙 410083;
    2. 湖南科技大学知识处理与网络化制造湖南省普通高校重点实验室, 湖南 湘潭 411201
  • 收稿日期:2014-01-28 修回日期:2014-09-23 出版日期:2015-05-20 发布日期:2015-05-27
  • 通讯作者: 周晓光 E-mail: zxgcsu@foxmail.com E-mail:zxgcsu@foxmail.com
  • 作者简介:赵肄江(1980—),男,讲师,博士生,主要从事众源地理信息相关研究。E-mail: zyriver@gmail.com
  • 基金资助:

    国家自然科学基金(41371366);国家863计划(2012AA121301);国家科技支撑计划(2012BAK12B01)

Version Similarity-based Model for Volunteers' Reputation of Volunteered Geographic Information: A Case Study of Polygon

ZHAO Yijiang1,2, ZHOU Xiaoguang1   

  1. 1. School of Geosciences and Info-physics, Central South University, Changsha 410083, China;
    2. Key Laboratory of Knowledge Processing and Networked Manufacturing, Hunan University of Science and Technology, Xiangtan 411201, China
  • Received:2014-01-28 Revised:2014-09-23 Online:2015-05-20 Published:2015-05-27
  • Supported by:

    The National Natural Science Foundation of China (No. 41371366);The National High-tech Research and Development Program of China (863 Program) (No. 2012AA121301); The National Key Technology Research and Development Program of the Ministry of Science and Technology of China (No. 2012BAK12B01)

摘要:

针对自发地理信息中存在大量恶意、虚假、低质量数据,提出了一种基于版本相似度的VGI志愿者信誉度计算模型。该模型将每个志愿者对某个地理空间目标的一次编辑结果定义为一个版本,当其他用户编辑该目标版本时,通过计算版本相似度来获得其他用户对该志愿者这个目标版本的支持度;然后通过计算其他贡献者对某志愿者所贡献的每个目标的支持度,对所有目标的支持度进行加权平均获得该志愿者的综合信誉度。其中版本相似度综合目标空间和属性相似性的主要因素进行加权计算。然后以面目标为例阐述了本文志愿者信誉度计算过程。为了验证本文信誉度计算模型的合理性,笔者采用德国柏林OpenStreetMap数据进行试验,试验表明通过本文模型计算获得的用户信誉度与其贡献的要素质量总体上正相关。

关键词: 自发地理信息, 信誉度计算模型, 版本相似度, OpenStreetMap

Abstract:

At present, it is difficult to evaluate the quality of volunteered geographic information(VGI), which have malicious, false, and poor quality data. Therefore, a version similarity-based reputation model for volunteers of VGI system is proposed. In the model, each editing to a geographic spatial object of each volunteer is defined as a version. When the object version is modified by other users, support degree of the version is computed through version similarity. Then, support degree of every object contributed by a volunteer is calculated according by others' modifications. The volunteer's reputation is obtained through weighted average of all his support degrees. The version similarity composites major factors of spatial similarity and attributes similarity between versions of a same object. Polygon objects are employed as an example to describe the computation process of volunteer reputation of our model. For verifying and analyzing the rationality of our reputation model, Berlin's historical data from OpenStreetMap are used for experiments. It shows that users' reputation calculated by our model has a positive correlation with quality of objects contributed by them as a whole.

Key words: volunteered geographic information, reputation evaluation model, version similarity, OpenStreetMap

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