Towards a standard upper ontology
Proceedings of the international conference on Formal Ontology in Information Systems - Volume 2001
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
MnM: Ontology Driven Semi-automatic and Automatic Support for Semantic Markup
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
SemTag and seeker: bootstrapping the semantic web via automated semantic annotation
WWW '03 Proceedings of the 12th international conference on World Wide Web
Automatic document metadata extraction using support vector machines
Proceedings of the 3rd ACM/IEEE-CS joint conference on Digital libraries
Swoogle: a search and metadata engine for the semantic web
Proceedings of the thirteenth ACM international conference on Information and knowledge management
An Adaptation of the Vector-Space Model for Ontology-Based Information Retrieval
IEEE Transactions on Knowledge and Data Engineering
Pellet: A practical OWL-DL reasoner
Web Semantics: Science, Services and Agents on the World Wide Web
Smooth introduction of semantic tagging in genotyping procedures
ITBAM'10 Proceedings of the First international conference on Information technology in bio- and medical informatics
Management of genotyping-related documents by integrated use of semantic tagging
Transactions on large-scale data- and knowledge-centered systems IV
Management and storage of in situ oceanographic data: An ECM-based approach
Information Systems
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Document Management Systems (DMSs) are a key component in modern enterprises. For successful document search and retrieval, an adequate metadata set should be defined in order to describe documents with sufficient detail. However, often a single metadata set is not sufficient throughout the whole DMS, as different document types require different attributes to be properly characterized. In this paper, we introduce ontologies as a modeling technology for structured metadata definition within DMSs. Focusing on the ebXML registry standard, we show an approach to enhance DMSs for semantic content management and then we propose a method to exploit this new capability for automated document characterization.