SDET: A Semantic Data Enrichment Tool Application to Geographical Databases

The success of information systems relies on their capabilities to provide users with the relevant information they need, when they need it. Meeting these requirements will result in improving response times and decision-making processes. Geographic information system (GIS) is one instance of such systems where data are usually relative to a specific application. To extend this dataset, we propose an approach to enrich the geographical database (GDB). This enrichment is carried out by adding knowledge extracted from web documents to the descriptive data of the GDB. The knowledge extraction process is performed by generating summaries from a corpus of on-line documents. This summarization is done in a distributed fashion by using a set of cooperating agents.