Creating Semantic Web Contents with Protégé-2000
IEEE Intelligent Systems
OntoEdit: Collaborative Ontology Development for the Semantic Web
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
A User Centered Approach to Requirements Modeling
Modellierung 2002 Modellierung in der Praxis - Modellierung für die Praxis
OilEd: A Reason-able Ontology Editor for the Semantic Web
KI '01 Proceedings of the Joint German/Austrian Conference on AI: Advances in Artificial Intelligence
Swoop: A Web Ontology Editing Browser
Web Semantics: Science, Services and Agents on the World Wide Web
NLDB'05 Proceedings of the 10th international conference on Natural Language Processing and Information Systems
Attempto controlled english: a knowledge representation language readable by humans and machines
Proceedings of the First international conference on Reasoning Web
RDF Snippets for Semantic Web Search Engines
OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part II on On the Move to Meaningful Internet Systems
Guidelines for modeling language independent integration of dynamic schemata
SE '08 Proceedings of the IASTED International Conference on Software Engineering
LexInfo: A declarative model for the lexicon-ontology interface
Web Semantics: Science, Services and Agents on the World Wide Web
Domain expert centered ontology reuse for conceptual models
OTM'11 Proceedings of the 2011th Confederated international conference on On the move to meaningful internet systems - Volume Part II
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The ontology language OWL has become increasingly important during the previous years. However due to the uncontrolled growth, OWL ontologies in many cases are very heterogeneous with respect to the class and property labels that often lack a common and systematic view. For this reason we linguistically analyzed OWL class and property labels focusing on their implicit structure. Based on the results of this analysis we generated a first proposal for linguistically determined label generation which can be seen as a prerequisite for mapping OWL concepts to natural language patterns.