Web ontology segmentation: analysis, classification and use
Proceedings of the 15th international conference on World Wide Web
Ontology module extraction for ontology reuse: an ontology engineering perspective
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Taxonomy-based partitioning of the Gene Ontology
Journal of Biomedical Informatics
A Flexible Partitioning Tool for Large Ontologies
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Modular Ontologies
Reusing ontologies on the Semantic Web: A feasibility study
Data & Knowledge Engineering
Modular reuse of ontologies: theory and practice
Journal of Artificial Intelligence Research
Taming digital traces for informal learning: a semantic-driven approach
EC-TEL'12 Proceedings of the 7th European conference on Technology Enhanced Learning
I-CAW: intelligent data browser for informal learning using semantic nudges
EKAW'12 Proceedings of the 18th international conference on Knowledge Engineering and Knowledge Management
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Modularisation is crucial to create re-usable and manageable ontologies. The modularisation is usually performed a posteriori, i.e. after the ontology is developed, and has been applied mainly to well-structured domains. With the increasing popularity of social media, Semantic web technologies are moving towards ill-defined domains that involve cognitively-complex processes carried out by humans and require tacit knowledge (e.g. decision-making, sensemaking, interpersonal communication, negotiating, motivating). In such domains, a priori modularisation can enable ontology creation to handle the complexity and the dynamic nature of knowledge. This paper outlines an a priori modularisation methodology for multi-layered development of ontologies in ill-defined domains, including an upper ontology layer, high-level and reusable domain layers, and case-specific layers. The methodology is being applied in several use cases in two EU projects -- Dicode and ImREAL.