Ontology based text indexing and querying for the semantic web
Knowledge-Based Systems
Cross-terminology mapping challenges: A demonstration using medication terminological systems
Journal of Biomedical Informatics
Short Communication: Time efficient reconciliation of mappings in dynamic web ontologies
Knowledge-Based Systems
Ontology Matching: State of the Art and Future Challenges
IEEE Transactions on Knowledge and Data Engineering
Mapping adaptation actions for the automatic reconciliation of dynamic ontologies
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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Knowledge Organization Systems (KOSs) are extensively used in the biomedical domain to support information sharing between software applications. KOSs are proposed covering different, but overlapping subjects, and mappings indicate the semantic relation between concepts from two KOSs. Over time, KOSs change as do the mappings between them. This can result from a new discovery or a revision of existing knowledge which includes corrections of concepts or mappings. Indeed, changes affecting KOS entities may force the underline mappings to be updated in order to ensure their reliability over time. To tackle this open research problem, we study how mappings are affected by KOS evolution. This article presents a detailed descriptive analysis of the impact that changes in KOS have on mappings. As a case study, we use the official mappings established between SNOMED CT and ICD-9-CM from 2009 to 2011. Results highlight factors according to which KOS changes in varying degrees influence the evolution of mappings.