Abstract The use of Geographic Information or GI, has grown rapidly in recent years.
Previous research has identified the importance of usability and user centred design in …

The YAM++ system is a self configuration, flexible and extensible ontology matching system.
The key idea behind YAM++ system is based on machine learning and similarity flooding …

The term “crowdsourcing” was first coined by Jeff Howe (2006) in an issue of Wired
magazine. In reference to the global technology industry, Howe (2008, 99) defines …

A method for matching crowd‐sourced and authoritative geospatial data is presented. A
level of tolerance is defined as an input parameter as some difference in the geometry …

Modern disaster reporting is becoming increasingly sophisticated with the ready access to
social media and user-friendly online map** tools. Citizen engagement in location …

Much is done nowadays to provide cyclists with safe and sustainable road infrastructure. Its
development requires the investigation of road usage and interactions between traffic …

This chapter considers the impacts of innovations in communications and information
technology on the nature of spatial data infrastructure (SDI). It examines the changes that …

This article describes results from a research project undertaken to explore the technical
issues associated with integrating unstructured crowd sourced data with authoritative …

Abstract The Open Geospatial Consortium (OGC) Web Processing Service (WPS) standard
enables access to a centralized repository of processes and services from compliant clients …

Geocrowdsourcing (geoCS) refers to a quite new phenomenon in geoinformatics, whereby
citizens voluntarily collect, maintain and visualize different types of spatial data that might be …