Algorithms on strings, trees, and sequences: computer science and computational biology
Algorithms on strings, trees, and sequences: computer science and computational biology
Learning to map between ontologies on the semantic web
Proceedings of the 11th international conference on World Wide Web
OntoSeek: Content-Based Access to the Web
IEEE Intelligent Systems
PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
The Chimaera Ontology Environment
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
Integrating multiple internet directories by instance-based learning
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Debugging and semantic clarification by pinpointing
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
Using Google distance to weight approximate ontology matches
Proceedings of the 16th international conference on World Wide Web
Guest editorial preface: Special issue on contexts and ontologies
The Knowledge Engineering Review
Semantic Matching for the Medical Domain
BNCOD '08 Proceedings of the 25th British national conference on Databases: Sharing Data, Information and Knowledge
Deep Semantic Mapping between Functional Taxonomies for Interoperable Semantic Search
ASWC '08 Proceedings of the 3rd Asian Semantic Web Conference on The Semantic Web
Exploring the Semantic Web as Background Knowledge for Ontology Matching
Journal on Data Semantics XI
A gauss function based approach for unbalanced ontology matching
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Semantic Matching Using the UMLS
ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
Evolva: A Comprehensive Approach to Ontology Evolution
ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
Using Background Knowledge and Context Knowledge in Ontology Mapping
Proceedings of the 2008 conference on Formal Ontologies Meet Industry
A Semantic-Based Ontology Matching Process for PDMS
Globe '09 Proceedings of the 2nd International Conference on Data Management in Grid and Peer-to-Peer Systems
Ontology matching with semantic verification
Web Semantics: Science, Services and Agents on the World Wide Web
What Four Million Mappings Can Tell You about Two Hundred Ontologies
ISWC '09 Proceedings of the 8th International Semantic Web Conference
Learning Semantic Query Suggestions
ISWC '09 Proceedings of the 8th International Semantic Web Conference
ASWC '09 Proceedings of the 4th Asian Conference on The Semantic Web
On the discovery of subsumption relations for the alignment of ontologies
Web Semantics: Science, Services and Agents on the World Wide Web
Partial and dynamic ontology mapping model in dialogs of agents
EPIA'07 Proceedings of the aritficial intelligence 13th Portuguese conference on Progress in artificial intelligence
Combining the semantic web with the web as background knowledge for ontology mapping
OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part I
Evaluating the semantic web: a task-based approach
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
CSR: discovering subsumption relations for the alignment of ontologies
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
Semantic techniques for enabling knowledge reuse in conceptual modelling
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part II
Exploiting relation extraction for ontology alignment
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part II
Automatic selection of background knowledge for ontology matching
Proceedings of the International Workshop on Semantic Web Information Management
A framework for a fuzzy matching between multiple domain ontologies
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part I
Automatic building of an appropriate global ontology
ADBIS'11 Proceedings of the 15th international conference on Advances in databases and information systems
TPDL'11 Proceedings of the 15th international conference on Theory and practice of digital libraries: research and advanced technology for digital libraries
Mapping queries to the Linking Open Data cloud: A case study using DBpedia
Web Semantics: Science, Services and Agents on the World Wide Web
Appropriate global ontology construction: a domain-reference-ontology based approach
Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services
Mediation of foundation ontology based knowledge sources
Computers in Industry
PIDGIN: ontology alignment using web text as interlingua
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Editorial: Design and evaluation of a semantic enrichment process for bibliographic databases
Data & Knowledge Engineering
Hi-index | 0.00 |
Existing ontology matching algorithms use a combination of lexical and structural correspondence between source and target ontologies. We present a realistic case-study where both types of overlap are low: matching two unstructured lists of vocabulary used to describe patients at Intensive Care Units in two different hospitals. We show that indeed existing matchers fail on our data. We then discuss the use of background knowledge in ontology matching problems. In particular, we discuss the case where the source and the target ontology are of poor semantics, such as flat lists, and where the background knowledge is of rich semantics, providing extensive descriptions of the properties of the concepts involved. We evaluate our results against a Gold Standard set of matches that we obtained from human experts.