User-Driven Ontology Evolution Management
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
Promptdiff: a fixed-point algorithm for comparing ontology versions
Eighteenth national conference on Artificial intelligence
Managing Ontology Changes on the Semantic Web
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
Ontology Matching
Understanding ontology evolution: A change detection approach
Web Semantics: Science, Services and Agents on the World Wide Web
On the foundations of computing deltas between RDF models
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Ontology change detection using a version log
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Containment and minimization of RDF/S query patterns
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
A framework for ontology evolution in collaborative environments
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
Discovering evolving regions in life science ontologies
DILS'10 Proceedings of the 7th international conference on Data integration in the life sciences
Semantic recognition of ontology refactoring
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part I
Supporting complex changes in evolving interrelated web databanks
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems - Volume Part I
Exelixis: evolving ontology-based data integration system
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
DSNotify - A solution for event detection and link maintenance in dynamic datasets
Web Semantics: Science, Services and Agents on the World Wide Web
Context schema evolution in context-aware data management
ER'11 Proceedings of the 30th international conference on Conceptual modeling
Ontology evolution in data integration: query rewriting to the rescue
ER'11 Proceedings of the 30th international conference on Conceptual modeling
Replication and versioning of partial RDF graphs
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part I
Evaluating the quality of a knowledge base populated from text
AKBC-WEKEX '12 Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction
Ontology evolution: assisting query migration
ER'12 Proceedings of the 31st international conference on Conceptual Modeling
COnto-Diff: generation of complex evolution mappings for life science ontologies
Journal of Biomedical Informatics
High-level change detection in RDF(S) KBs
ACM Transactions on Database Systems (TODS)
Ontology evolution without tears
Web Semantics: Science, Services and Agents on the World Wide Web
Introduction to the universal delta model
Proceedings of the 2013 ACM symposium on Document engineering
Repairing broken RDF links in the web of data
International Journal of Web Engineering and Technology
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An increasing number of scientific communities rely on Semantic Web ontologies to share and interpret data within and across research domains. These common knowledge representation resources are usually developed and maintained manually and essentially co-evolve along with experimental evidence produced by scientists worldwide. Detecting automatically the differences between (two) versions of the same ontology in order to store or visualize their deltas is a challenging task for e-science. In this paper, we focus on languages allowing the formulation of concise and intuitive deltas, which are expressive enough to describe unambiguously any possible change and that can be effectively and efficiently detected. We propose a specific language that provably exhibits those characteristics and provide a change detection algorithm which is sound and complete with respect to the proposed language. Finally, we provide a promising experimental evaluation of our framework using real ontologies from the cultural and bioinformatics domains.