Ontology mapping: the state of the art
The Knowledge Engineering Review
Semantic integration: a survey of ontology-based approaches
ACM SIGMOD Record
Ontology Matching
SAMBO-A system for aligning and merging biomedical ontologies
Web Semantics: Science, Services and Agents on the World Wide Web
Structure-Based Filtering for Ontology Alignment
WETICE '06 Proceedings of the 15th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises
Collecting Community-Based Mappings in an Ontology Repository
ISWC '08 Proceedings of the 7th International Conference on The Semantic Web
Alignment of biomedical ontologies using life science literature
KDLL'06 Proceedings of the 2006 international conference on Knowledge Discovery in Life Science Literature
A survey of schema-based matching approaches
Journal on Data Semantics IV
Repairing the Missing is-a Structure of Ontologies
ASWC '09 Proceedings of the 4th Asian Conference on The Semantic Web
A system for debugging missing is-a structure in networked ontologies
DILS'10 Proceedings of the 7th international conference on Data integration in the life sciences
Towards large-size ontology alignment by mapping groups of concepts
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems
Debugging the missing is-a structure of networked ontologies
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part II
Debugging is-a structure in networked taxonomies
Proceedings of the 4th International Workshop on Semantic Web Applications and Tools for the Life Sciences
Proceedings of the 3rd Annual ACM Web Science Conference
Optimizing ontology alignment through Memetic Algorithm based on Partial Reference Alignment
Expert Systems with Applications: An International Journal
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In different areas ontologies have been developed and many of these ontologies contain overlapping information. Often we would therefore want to be able to use multiple ontologies. To obtain good results, we need to find the relationships between terms in the different ontologies, i.e. we need to align them. Currently, there already exist a number of ontology alignment systems. In these systems an alignment is computed from scratch. However, recently, some situations have occurred where a partial reference alignment is available, i.e. some of the correct mappings between terms are given or have been obtained. In this paper we investigate whether and how a partial reference alignment can be used in ontology alignment. We use partial reference alignments to partition ontologies, to compute similarities between terms and to filter mapping suggestions. We test the approaches on previously developed gold standards and discuss the results.