@incollection{maio_multi-classification_2012,
	series = {Lecture Notes in Electrical Engineering},
	title = {Multi-classification Document Manager},
	copyright = {©2012 Springer-Verlag Berlin Heidelberg},
	isbn = {978-3-642-28797-8, 978-3-642-28798-5},
	url = {http://link.springer.com/chapter/10.1007/978-3-642-28798-5_14},
	abstract = {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.},
	number = {157},
	urldate = {2012-11-14},
	booktitle = {Recent Progress in Data Engineering and Internet Technology},
	publisher = {Springer Berlin Heidelberg},
	author = {Maio, Paulo and Silva, Nuno and Brandão, Ricardo and Vasconcelos, Jorge and Loureiro, Fábio},
	editor = {Gaol, Ford Lumban},
	month = jan,
	year = {2012},
	keywords = {Artificial Intelligence (incl. Robotics), Computer Science, general, Data Mining and Knowledge Discovery, Database Management},
	pages = {99--106}
}