Preserving mapping consistency under schema changes
The VLDB Journal — The International Journal on Very Large Data Bases
The CIDOC conceptual reference model: a new standard for knowledge sharing
ER '07 Tutorials, posters, panels and industrial contributions at the 26th international conference on Conceptual modeling - Volume 83
Ontology change: Classification and survey
The Knowledge Engineering Review
Graceful database schema evolution: the PRISM workbench
Proceedings of the VLDB Endowment
On Detecting High-Level Changes in RDF/S KBs
ISWC '09 Proceedings of the 8th International Semantic Web Conference
Ontology and Schema Evolution in Data Integration: Review and Assessment
OTM '09 Proceedings of the Confederated International Conferences, CoopIS, DOA, IS, and ODBASE 2009 on On the Move to Meaningful Internet Systems: Part II
Journal on data semantics X
Ontology evolution in data integration: query rewriting to the rescue
ER'11 Proceedings of the 30th international conference on Conceptual modeling
OtO matching system: a multi-strategy approach to instance matching
CAiSE'12 Proceedings of the 24th international conference on Advanced Information Systems Engineering
Ontology evolution: assisting query migration
ER'12 Proceedings of the 31st international conference on Conceptual Modeling
Ontology evolution without tears
Web Semantics: Science, Services and Agents on the World Wide Web
| Hi-index | 0.00 |
The evolution of ontologies is an undisputed necessity in ontology-based data integration. Yet, few research efforts have focused on addressing the need to reflect ontology evolution onto the underlying data integration systems. We present Exelixis, a web platform that enables query answering over evolving ontologies without mapping redefinition. This is achieved by rewriting queries among ontology versions. First, changes between ontologies are automatically detected and described using a high level language of changes. Those changes are interpreted as sound global-as-view (GAV) mappings. Then query expansion is applied in order to consider constraints from the ontology and unfolding to apply the GAV mappings. Whenever equivalent rewritings cannot be produced we a) guide query redefinition and/or b) provide the best "over-approximations", i.e. the minimally-containing and minimally-generalized rewritings. For the demonstration we will use four versions of the CIDOC-CRM ontology and real user queries to show the functionality of the system. Then we will allow conference participants to directly interact with the system to test its capabilities.