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Querying DL-lite Knowledge Bases from Hidden Datasets
International Symposium on Artificial Intelligence and Mathematics
One of the main aims of Ontology-Based Data Access is to uniform querying data using knowledge encoded in an ontology. Data are often provided by several information sources, and this has led to a number of methods that merge them in order to get a unified point of view. Existing merging approaches relie on the fact that the content of the datasets is known. However in many applications such as in recommendation sites, this prior knowledge about the content of the datasets is not available.dblp:conf/isaim/HamdiOPBB18 fatcat:7vo4nm4ydrcpppqixthr6sagam