CYC: a large-scale investment in knowledge infrastructure
Communications of the ACM
Ontology Learning for the Semantic Web
Ontology Learning for the Semantic Web
Introducing Ontology-based Skills Management at a Language Insurance Company
Modellierung 2002 Modellierung in der Praxis - Modellierung für die Praxis
Methodologies, tools and languages for building ontologies: where is their meeting point?
Data & Knowledge Engineering
Ontological Engineering
The Knowledge Engineering Review
Human-centered ontology engineering: The HCOME methodology
Knowledge and Information Systems
Ontology Learning and Population from Text: Algorithms, Evaluation and Applications
Ontology Learning and Population from Text: Algorithms, Evaluation and Applications
Ontology Matching
Possible Ontologies: How Reality Constrains the Development of Relevant Ontologies
IEEE Internet Computing
The Semantic Web Vision: Where Are We?
IEEE Intelligent Systems
Argumentation-Based Ontology Engineering
IEEE Intelligent Systems
Games with a Purpose for the Semantic Web
IEEE Intelligent Systems
ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
A Methodology for Ontology Learning
Proceedings of the 2008 conference on Ontology Learning and Population: Bridging the Gap between Text and Knowledge
Ontology engineering revisited: an iterative case study
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
Ontology engineering: a reality check
ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part I
How do we measure and improve the quality of a hierarchical ontology?
Journal of Systems and Software
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In this paper we give an account of the current state of practice in ontology engineering (OE) based on the findings of a 6 months empirical survey that analyzed 148 OE projects. The survey focused on process-related issues and looked into the impact of research achievements on real-world OE projects, the complexity of particular ontology development tasks, the level of tool support, and the usage scenarios for ontologies. The main contributions of this survey are twofold: 1) the size of the data set is larger than every other similar endeavor; 2) the findings of the survey confirm that OE is an established engineering discipline w.r.t the maturity and level of acceptance of its main components, methodologies, etc. whereas further research should target economic aspects of OE and the customization of existing technology to the specifics of vertical domains.