Categories, types, and structures: an introduction to category theory for the working computer scientist
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
A modal temporal logic for reasoning about change
ACL '83 Proceedings of the 21st annual meeting on Association for Computational Linguistics
Fundamentals of Algebraic Graph Transformation (Monographs in Theoretical Computer Science. An EATCS Series)
Computational approaches to linguistic consensus
Computational approaches to linguistic consensus
Conceptual Mathematics: A First Introduction to Categories
Conceptual Mathematics: A First Introduction to Categories
Managing requirement volatility in an ontology-driven clinical LIMS using category theory
International Journal of Telemedicine and Applications - Special issue on electronic health
Incremental biomedical ontology change management through learning agents
KES-AMSTA'08 Proceedings of the 2nd KES International conference on Agent and multi-agent systems: technologies and applications
Dynamic pattern mining: an incremental data clustering approach
Journal on Data Semantics II
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To facilitate communication and the exchange of information between patients, nurses, lab technicians, health insurers, physicians, policy makers, and existing knowledge-based systems, a set of shared standard terminologies and controlled vocabularies are necessary. In modern health information management systems, these vocabularies are defined within formal representations called ontologies, where terminologies are only meaningful once linked to a descriptive dataset. When the datasets and their conveyed knowledge are changed, the ontological structure is altered accordingly. Despite the importance of this topic, the problem of managing evolving ontological structures is inadequately addressed by available tools and algorithms, partly because handling ontological change is not a purely computational affair. In this paper, we propose a framework inspired by a social activity, birdwatching. Using this model, the evolving ontological structures can be monitored and analyzed based on their state at a given time. Moreover, patterns of changes can be derived and used to predict and approximate a system's behavior based on potential future changes.