A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
Similarity Flooding: A Versatile Graph Matching Algorithm and Its Application to Schema Matching
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Ontology Matching
Bio2RDF: A Semantic Web Atlas of Post Genomic Knowledge about Human and Mouse
DILS '08 Proceedings of the 5th international workshop on Data Integration in the Life Sciences
FCA-MERGE: bottom-up merging of ontologies
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Automatically Constructing Semantic Web Services from Online Sources
ISWC '09 Proceedings of the 8th International Semantic Web Conference
LinkedGeoData: Adding a Spatial Dimension to the Web of Data
ISWC '09 Proceedings of the 8th International Semantic Web Conference
DBpedia: a nucleus for a web of open data
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
When owl: sameAs isn't the same: an analysis of identity in linked data
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part I
Contextual ontology alignment of LOD with an upper ontology: a case study with proton
ESWC'11 Proceedings of the 8th extended semantic web conference on The semantic web: research and applications - Volume Part I
ESWC'11 Proceedings of the 8th extended semantic web conference on The semantic web: research and applications - Volume Part I
Reasoning with noisy semantic data
ESWC'11 Proceedings of the 8th extended semantic web conference on The semanic web: research and applications - Volume Part II
Link prediction for annotation graphs using graph summarization
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
Zhishi.me: weaving chinese linking open data
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part II
Graph-based ontology analysis in the linked open data
Proceedings of the 8th International Conference on Semantic Systems
Mid-Ontology learning from linked data
JIST'11 Proceedings of the 2011 joint international conference on The Semantic Web
An effective rule miner for instance matching in a web of data
Proceedings of the 21st ACM international conference on Information and knowledge management
Collaborative filtering by analyzing dynamic user interests modeled by taxonomy
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part I
Discovering concept coverings in ontologies of linked data sources
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part I
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part I
Automatic data transformation: breaching the walled gardens of social network platforms
APCCM '13 Proceedings of the Ninth Asia-Pacific Conference on Conceptual Modelling - Volume 143
Discovering alignments in ontologies of linked data
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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The Web of Linked Data is characterized by linking structured data from different sources using equivalence statements, such as owl:sameAs, as well as other types of linked properties. The ontologies behind these sources, however, remain unlinked. This paper describes an extensional approach to generate alignments between these ontologies. Specifically our algorithm produces equivalence and subsumption relationships between classes from ontologies of different Linked Data sources by exploring the space of hypotheses supported by the existing equivalence statements. We are also able to generate a complementary hierarchy of derived classes within an existing ontology or generate new classes for a second source where the ontology is not as refined as the first. We demonstrate empirically our approach using Linked Data sources from the geospatial, genetics, and zoology domains. Our algorithm discovered about 800 equivalences and 29,000 subset relationships in the alignment of five source pairs from these domains. Thus, we are able to model one Linked Data source in terms of another by aligning their ontologies and understand the semantic relationships between the two sources.