Semi-Automated Metadata Detection for Assessing the Credibility of Map Mashup
Nuhul H. Idris et al.
Current Web 2.0 technologies enable the easy sharing of geospatial data from multiple on-line sources. With free mapping APIs, online maps can be created without the need for high cost software, meaning that a map can be created by both the professional as well as the webenabled citizen. In a traditional approach, metadata is used to assess the fitness of the data to meet the purpose of usage. In this new mapping landscape, metadata can be used to evaluate the credibility (believability) of information and to generate trust in the sources. However, in this new domain, the embedded metadata is typically partial, informal and unstructured. This paper demonstrates the use of a web crawler to discover supplementary metadata. This semiautomated detection is one of the components needed to support a framework for assessing the credibility of information presented in map mashups, particularly those presenting crowdsourced data. This framework may then be used to tackle the issues of credibility and trust related to Web 2.0 mapping applications.
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