QMap: An RDF-Based Queryable World Map

Frederik Hogenboom, Alexander Hogenboom, R van Gelder, Viorel Milea, Flavius Frasincar, U Kaymak

Research output: Chapter/Conference proceedingConference proceedingAcademicpeer-review


In its current state, the Web contains a lot of information which has the potential to be used by other applications, thus addressing different aims than the ones originally intended. In this paper we present QMap, an application that supports the repurposing of existing Web content from originally non-queryable and/or low-level machine-interpretable data. The system architecture provides for the means of extracting the relevant data, querying it based on user interests, and visualizing the results in a user appealing manner. We illustrate the functionally of QMap by employing economic data about countries, data that we extract from the CIA World Factbook Web page. The extracted data is then represented in RDF. Based hereon, the user is able to pose SPARQL-based queries on the extracted data and visualize the results using Google Maps. The generated thematic maps provide intuitive means for performing economic analysis on the targeted countries.
Original languageEnglish
Title of host publicationProceedings of the Third International Conference on Knowledge Management in Organisations (KMO 2008)
EditorsM. Naaranoja
Place of PublicationVaasa, Finland
Number of pages12
Publication statusPublished - 24 Jun 2008

Research programs

  • EUR ESE 32


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