Semantic heterogeneity as a result of domain evolution
ACM SIGMOD Record
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
ACM Computing Surveys (CSUR)
Collective Learning and Semiotic Dynamics
ECAL '99 Proceedings of the 5th European Conference on Advances in Artificial Life
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Ontology Evolution: Not the Same as Schema Evolution
Knowledge and Information Systems
Ontologies: How can They be Built?
Knowledge and Information Systems
Possible Ontologies: How Reality Constrains the Development of Relevant Ontologies
IEEE Internet Computing
Tags4Tags: Using Tagging to Consolidate Tags
DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
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Most practically relevant domains include some degree of conceptual dynamics, i.e. new conceptual elements arise, and some old ones become irrelevant. This type of change imposes a substantial challenge on building up-to-date domain vocabularies, and models in general. In this paper, we (1) provide a generic simulation model, based on a simple colored Petri-net, for investigating the interplay between conceptual dynamics and model coverage and (2) quantify the dynamics in three selected areas, i.e., for computer components, pharmaceuticals, and for methods, recipes, and procedures in the inorganic chemical technology sector. We can show that all three areas undergo a substantial conceptual dynamics and that this may lead to weak domain coverage in respective vocabularies. Based on these findings, we (3) discuss approaches of how the engineering lag of building domain vocabularies can be reduced.