Explorations in parallel distributed processing: a handbook of models, programs, and exercises
Explorations in parallel distributed processing: a handbook of models, programs, and exercises
Using the cosine measure in a neural network for document retrieval
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
Enhanced hypertext categorization using hyperlinks
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Ontologies: A Silver Bullet for Knowledge Management and Electronic Commerce
Ontologies: A Silver Bullet for Knowledge Management and Electronic Commerce
Similarity Flooding: A Versatile Graph Matching Algorithm and Its Application to Schema Matching
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Learning to match ontologies on the Semantic Web
The VLDB Journal — The International Journal on Very Large Data Bases
The PROMPT suite: interactive tools for ontology merging and mapping
International Journal of Human-Computer Studies
Ontology mapping: the state of the art
The Knowledge Engineering Review
Information Sharing on the Semantic Web
Information Sharing on the Semantic Web
Semantic integration: a survey of ontology-based approaches
ACM SIGMOD Record
Constructing virtual documents for ontology matching
Proceedings of the 15th international conference on World Wide Web
Efficient Belief Propagation for Early Vision
International Journal of Computer Vision
Ontology Alignment: Bridging the Semantic Gap (Semantic Web and Beyond)
Ontology Alignment: Bridging the Semantic Gap (Semantic Web and Beyond)
Using Bayesian decision for ontology mapping
Web Semantics: Science, Services and Agents on the World Wide Web
COMA: a system for flexible combination of schema matching approaches
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Integrating the IAC neural network in ontology mapping
Proceedings of the 17th international conference on World Wide Web
Machine Learning Approach for Ontology Mapping Using Multiple Concept Similarity Measures
ICIS '08 Proceedings of the Seventh IEEE/ACIS International Conference on Computer and Information Science (icis 2008)
Neural network based constraint satisfaction in ontology mapping
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Ontology mapping: an information retrieval and interactive activation network based approach
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
On the Foundations of Relaxation Labeling Processes
IEEE Transactions on Pattern Analysis and Machine Intelligence
A string metric for ontology alignment
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
IROM: information retrieval-based ontology matching
SAMT'10 Proceedings of the 5th international conference on Semantic and digital media technologies
Journal of Biomedical Informatics
Information Sciences: an International Journal
An approach to conceptual ontology integration with an ontology repository and a rule base
AIKED'12 Proceedings of the 11th WSEAS international conference on Artificial Intelligence, Knowledge Engineering and Data Bases
Constructing virtual documents for ontology matching using mapreduce
JIST'11 Proceedings of the 2011 joint international conference on The Semantic Web
A differentor-based adaptive ontology-matching approach
Journal of Information Science
A unified approach to matching semantic data on the Web
Knowledge-Based Systems
An ontology-driven framework towards building enterprise semantic information layer
Advanced Engineering Informatics
Ontology alignment using artificial neural network for large-scale ontologies
International Journal of Metadata, Semantics and Ontologies
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Ontology mapping seeks to find semantic correspondences between similar elements of different ontologies. It is a key challenge to achieve semantic interoperability in building the Semantic Web. This paper proposes a new generic and adaptive ontology mapping approach, called the PRIOR+, based on propagation theory, information retrieval techniques and artificial intelligence. The approach consists of three major modules, i.e., the IR-based similarity generator, the adaptive similarity filter and weighted similarity aggregator, and the neural network based constraint satisfaction solver. The approach first measures both linguistic and structural similarity of ontologies in a vector space model, and then aggregates them using an adaptive method based on their harmonies, which is defined as an estimator of performance of similarity. Finally to improve mapping accuracy the interactive activation and competition neural network is activated, if necessary, to search for a solution that can satisfy ontology constraints. The experimental results show that harmony is a good estimator of f-measure; the harmony based adaptive aggregation outperforms other aggregation methods; neural network approach significantly boosts the performance in most cases. Our approach is competitive with top-ranked systems on benchmark tests at OAEI campaign 2007, and performs the best on real cases in OAEI benchmark tests.