Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Global Viewing of Heterogeneous Data Sources
IEEE Transactions on Knowledge and Data Engineering
ROCK: A Robust Clustering Algorithm for Categorical Attributes
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
iMAP: discovering complex semantic matches between database schemas
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Constructing virtual documents for ontology matching
Proceedings of the 15th international conference on World Wide Web
A large scale taxonomy mapping evaluation
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
A string metric for ontology alignment
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Towards imaging large-scale ontologies for quick understanding and analysis
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
A survey of schema-based matching approaches
Journal on Data Semantics IV
Matching large ontologies: A divide-and-conquer approach
Data & Knowledge Engineering
Falcon-AO: A practical ontology matching system
Web Semantics: Science, Services and Agents on the World Wide Web
An efficient and scalable algorithm for segmented alignment of ontologies of arbitrary size
Web Semantics: Science, Services and Agents on the World Wide Web
Metric of intrinsic information content for measuring semantic similarity in an ontology
APCCM '10 Proceedings of the Seventh Asia-Pacific Conference on Conceptual Modelling - Volume 110
A concept hierarchy based ontology mapping approach
KSEM'10 Proceedings of the 4th international conference on Knowledge science, engineering and management
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
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
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Ontology matching is a crucial task of enabling interoperation between Web applications using different but related ontologies Due to the size and the monolithic nature, large-scale ontologies regarding real world domains cause a new challenge to current ontology matching techniques In this paper, we propose a method for partition-based block matching that is practically applicable to large class hierarchies, which are one of the most common kinds of large-scale ontologies Based on both structural affinities and linguistic similarities, two large class hierarchies are partitioned into small blocks respectively, and then blocks from different hierarchies are matched by combining the two kinds of relatedness found via predefined anchors as well as virtual documents between them Preliminary experiments demonstrate that the partition-based block matching method performs well on our test cases derived from Web directory structures.