We propose a lightweight technological system for managing user's documents according to multiple classification dimensions. The core of the proposal is the application of ALC-expressive ontologies for capturing the multi-property-based classification of documents. The ontology is then responsible for representing (i) the properties that serve for the document classification (e.g. authors, subjects, types), and (ii) the classes of documents specified based on the properties' values of the documents. Once the ontology is populated with data captured from the documents via parsers/analyzers, an inference engine logically classify documents according to the classes.
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