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.
|Title of host publication||Proceedings of the Third International Conference on Knowledge Management in Organisations (KMO 2008)|
|Place of Publication||Vaasa, Finland|
|Number of pages||12|
|Publication status||Published - 24 Jun 2008|