Creating Semantic Web Contents with Protégé-2000
IEEE Intelligent Systems
Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Survey of semantic annotation platforms
Proceedings of the 2005 ACM symposium on Applied computing
Logiciel d'annotation pour la conception de cours sur le web sémantique
IHM '06 Proceedings of the 18th International Conferenceof the Association Francophone d'Interaction Homme-Machine
Patterns of semantic relations to improve image content search
Web Semantics: Science, Services and Agents on the World Wide Web
ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
An adaptive metadata model for domain-specific service registry
ICDCIT'07 Proceedings of the 4th international conference on Distributed computing and internet technology
OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part I
Context-aware interaction approach to handle users local contexts in web 2.0
ICWE'10 Proceedings of the 10th international conference on Web engineering
The concept object web for knowledge management
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Turning the mouse into a semantic device: the seMouse experience
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
Formal and relational concept analysis for fuzzy-based automatic semantic annotation
Applied Intelligence
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The Intelligence Community, among others, is increasingly using document metadata to improve document search and discovery on intranets and extranets. Document markup is still often incomplete, inconsistent, incorrect, and limited to keywords via HTML and XML tags. OWL promises to bring semantics to this markup to improve its machine understandability. A usable markup tool is becoming a barrier to the more widespread use of OWL markup in operational settings. This paper describes some of our attempts at building markup tools, lessons learned, and our latest markup tool, the Semantic Markup Tool (SMT). SMT uses automatic text extractors and templates to hide ontological complexity from end users and helps them quickly specify events and relationships of interest in the document. SMT automatically generates correct and consistent OWL markup. This comes at a cost to expressivity. We are evaluating SMT on several pilot semantic web efforts.