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Generative adversarial learning for optimizing ontology alignment
Expert Syst. J. Knowl. Eng., 2022The edge computing in knowledge‐defined network (KDN) is a kind of distributed computing architecture, and the format of edge resources stored in different edge computing nodes are different, which yields the data heterogeneity problem and hampers the ...
Xingsi Xue, Qihan Huang
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Optimizing Ontology Alignment Through an Interactive Compact Genetic Algorithm
ACM Transactions on Management Information Systems, 2021Ontology provides a shared vocabulary of a domain by formally representing the meaning of its concepts, the properties they possess, and the relations among them, which is the state-of-the-art knowledge modeling technique.
Xingsi Xue, Xiaojing Wu, Junfeng Chen
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OntoConnect: unsupervised ontology alignment with recursive neural network
ACM Symposium on Applied Computing, 2021Ontology alignment is performed to combine or integrate multiple knowledge bases at the elemental and structural levels. The current state-of-the-art systems use many different approaches to match semantics, syntax, and terminologies of different ...
Jaydeep Chakraborty +4 more
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ONTOCONNECT: Domain-Agnostic Ontology Alignment using Graph Embedding with Negative Sampling
International Conference on Machine Learning and Applications, 2021The ontology alignment task aims at linking two or more different ontologies from the same domain or different domains. Over the years, many techniques have been proposed for ontology instance alignment, schema alignment, and link discovery.
Jaydeep Chakraborty +3 more
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Ontology alignment design patterns
Knowledge and Information Systems, 2013Interoperability between heterogeneous ontological descriptions can be performed through ontology mediation techniques. At the heart of ontology mediation lies the alignment: a specification of correspondences between ontology entities. Ontology matching can bring some automation but are limited to finding simple correspondences.
François Scharffe +2 more
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A novel meta-matching approach for ontology alignment using grasshopper optimization
Knowledge-Based Systems, 2020Ontology alignment is a fundamental task to support information sharing and reuse in heterogeneous information systems. Optimizing the combination of matchers by evolutionary algorithms to align ontology is an effective method. However, such methods have
Zhaoming Lv, Rong Peng
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International Journal of Information System Modeling and Design, 2011
Recently semantic web technologies, such as ontologies, have been proposed as key enablers for integrating heterogeneous data schemas in business and governmental systems. Algorithms designed to align different but related ontologies have become necessary as differing ontologies proliferate. The process of ontology alignment seeks to find corresponding
Jennifer Sampson +2 more
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Recently semantic web technologies, such as ontologies, have been proposed as key enablers for integrating heterogeneous data schemas in business and governmental systems. Algorithms designed to align different but related ontologies have become necessary as differing ontologies proliferate. The process of ontology alignment seeks to find corresponding
Jennifer Sampson +2 more
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International Journal of Knowledge and Systems Science, 2010
A grand number of ontologies have been developed and are publicly accessible on the Web making techniques for mapping between various ontologies more significant. Research has been made in the area of ontology alignment, a grand number of approaches, algorithms, and tools have been developed in recent years, but are still not “perfect” and excellent ...
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A grand number of ontologies have been developed and are publicly accessible on the Web making techniques for mapping between various ontologies more significant. Research has been made in the area of ontology alignment, a grand number of approaches, algorithms, and tools have been developed in recent years, but are still not “perfect” and excellent ...
openaire +1 more source