WonderTools?: a comparative study of ontological engineering tools
International Journal of Human-Computer Studies
Information modeling and relational databases: from conceptual analysis to logical design
Information modeling and relational databases: from conceptual analysis to logical design
Data modelling versus ontology engineering
ACM SIGMOD Record
OntoEdit: Collaborative Ontology Development for the Semantic Web
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
The evolution of Protégé: an environment for knowledge-based systems development
International Journal of Human-Computer Studies
Visualization of Semantic Metadata and Ontologies
IV '03 Proceedings of the Seventh International Conference on Information Visualization
Ontological Engineering
Lexon Visualization: Visualizing Binary Fact Types in Ontology Bases
IV '04 Proceedings of the Information Visualisation, Eighth International Conference
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems
Semantically unlocking database content through ontology-based mediation
SWDB'04 Proceedings of the Second international conference on Semantic Web and Databases
Ontology guided data integration for computational prioritization of disease genes
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part I
An ontology engineering methodology for DOGMA
Applied Ontology - Ontological Foundations of Conceptual Modelling
A Method and Tool for Fact Type Reuse in the DOGMA Ontology Framework
OTM '09 Proceedings of the Confederated International Conferences, CoopIS, DOA, IS, and ODBASE 2009 on On the Move to Meaningful Internet Systems: Part II
Termontography and DOGMA for Knowledge Engineering within PROLIX
OTM '09 Proceedings of the Confederated International Workshops and Posters on On the Move to Meaningful Internet Systems: ADI, CAMS, EI2N, ISDE, IWSSA, MONET, OnToContent, ODIS, ORM, OTM Academy, SWWS, SEMELS, Beyond SAWSDL, and COMBEK 2009
Business Semantics Management Supports Government Innovation Information Portal
OTM '09 Proceedings of the Confederated International Workshops and Posters on On the Move to Meaningful Internet Systems: ADI, CAMS, EI2N, ISDE, IWSSA, MONET, OnToContent, ODIS, ORM, OTM Academy, SWWS, SEMELS, Beyond SAWSDL, and COMBEK 2009
Visualizing formalisms with ORM models
OTM'07 Proceedings of the 2007 OTM confederated international conference on On the move to meaningful internet systems - Volume Part I
OTM'07 Proceedings of the 2007 OTM confederated international conference on On the move to meaningful internet systems - Volume Part I
Towards ontological commitments with Ω-RIDL markup language
RuleML'07 Proceedings of the 2007 international conference on Advances in rule interchange and applications
Towards using semantic decision tables for organizing data semantics
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems
An ontology engineering methodology for DOGMA
Applied Ontology - Ontological Foundations of Conceptual Modelling
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In the DOGMA ontology engineering approach ontology construction starts from a (possibly very large) uninterpreted base of elementary fact types called lexons that are mined from linguistic descriptions (be it from existing schemas, a text corpus or formulated by domain experts) An ontological commitment to such ”lexon base” means selecting/reusing from it a meaningful set of facts that approximates well the intended conceptualization, followed by the addition of a set of constraints, or rules, to this subset The commitment process is inspired by the fact-based database modeling method NIAM/ORM2, which features a recently updated, extensive graphical support However, for encouraging lexon reuse by ontology engineers a more scalable way of visually browsing a large Lexon Base is important Existing techniques for similar semantic networks rather focus on graphical distance between concepts and not always consider the possibility that concepts might be (fact-) related to a large number of other concepts In this paper we introduce an alternative approach to browsing large fact-based diagrams in general, which we apply to lexon base browsing and selecting for building ontological commitments in particular We show that specific characteristics of DOGMA such as grouping by contexts and its ”double articulation principle”, viz explicit separation between lexons and an application's commitment to them can increase the scalability of this approach We illustrate with a real-world case study.