Results 41 to 50 of about 1,174,184 (329)
Machines, 2022 In cloud manufacturing systems, the multi-granularity of service resource and design task models leads to the complexity of cloud service matching. In order to satisfy the preference of resource requesters for large-granularity service resources, we ...
Shuhui Ding +3 more
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Reusability ontology in business processes with similarity matching
Jurnal Informatika, 2018 The working technology will provide information and knowledge. Information and technology can be developed in various ways, by reusing the technologies. In this study modeled the ontology of SOPs using protege. Ontology will be matched between ontology A
Meida Cahyo Untoro +2 more
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Optimizing Ontology Alignment through Linkage Learning on Entity Correspondences
Complexity, 2021 Data heterogeneity is the obstacle for the resource sharing on Semantic Web (SW), and ontology is regarded as a solution to this problem. However, since different ontologies are constructed and maintained independently, there also exists the ...
Xingsi Xue +5 more
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Interactive Cross-Lingual Ontology Matching
IEEE Access, 2019 Recently, with the growing number of ontologies defined in different languages, to bridge the semantic gaps between them, it is necessary to identify the correspondences between their heterogeneous entities, so-called cross-lingual ontology matching. Due
Junfeng Chen +3 more
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Performance assessment of ontology matching systems for FAIR data
Journal of Biomedical Semantics, 2022 Background Ontology matching should contribute to the interoperability aspect of FAIR data (Findable, Accessible, Interoperable, and Reusable). Multiple data sources can use different ontologies for annotating their data and, thus, creating the need for ...
Philip van Damme +5 more
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Matching sensor ontologies with unsupervised neural network with competitive learning [PDF]
PeerJ Computer Science, 2021 Sensor ontologies formally model the core concepts in the sensor domain and their relationships, which facilitates the trusted communication and collaboration of Artificial Intelligence of Things (AIoT).
Xingsi Xue, Haolin Wang, Wenyu Liu
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Mathematics, 2023 Ontology is the kernel technique of Semantic Web (SW), which enables the interaction and cooperation among different intelligent applications. However, with the rapid development of ontologies, their heterogeneity issue becomes more and more serious ...
Xingsi Xue +3 more
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Interactive complex ontology matching with local and global similarity deviations
Electronic Research Archive, 2023 Ontology serves as a central technique in the semantic web to elucidate domain knowledge. The challenge of dealing with the heterogeneity introduced by diverse domain ontologies necessitates ontology matching, a process designed to identify semantically ...
Xingsi Xue, Miao Ye
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Alin: improving interactive ontology matching by interactively revising mapping suggestions
Knowledge engineering review (Print), 2020 Ontology matching aims at discovering mappings between the entities of two ontologies. It plays an important role in the integration of heterogeneous data sources that are described by ontologies.
Jomar Da Silva +3 more
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Ten Challenges for Ontology Matching [PDF]
, 2008 This paper aims at analyzing the key trends and challenges of the ontology matching field. The main motivation behind this work is the fact that despite many component matching solutions that have been developed so far, there is no integrated solution that is a clear success, which is robust enough to be the basis for future development, and which is ...
Shvaiko, Pavel, Euzenat, Jérôme
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