Results 41 to 50 of about 201 (160)
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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Matching Network of Ontologies: A Random Walk and Frequent Itemsets Approach
IEEE Access, 2022 A System of Systems (SoS) is a complex set of IS (Information Systems) created by the aggregation and interconnection of ISs. SoS brings unexpected behavior and functionality during its construction to the benefit of its users and the SoS itself.
Fabio Santos, Carlos E. Mello
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Ontology Matching Method Based on Deep Learning and Syntax
Big Data and Cognitive ComputingOntology technology addresses data heterogeneity challenges in Internet of Everything (IoE) systems enabled by Cyber Twin and 6G, yet the subjective nature of ontology engineering often leads to differing definitions of the same concept across ontologies,
Jiawei Lu, Changfeng Yan
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Ontology Knowledge Mining for Ontology Alignment
International Journal of Computational Intelligence Systems, 2016 As the ontology alignment facilitates the knowledge exchange among the heterogeneous data sources, several methods have been introduced in literature. Nevertheless, few of them have been interested in decreasing the problem complexity and reducing the ...
Rihab Idoudi +3 more
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Complex & Intelligent Systems, 2022 Sensor ontology is a standard conceptual model that describes information of sensor device, which includes the concepts of various sensor modules and the relationships between them.
Aifeng Geng, Qing Lv
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Journal of Parasitology Research, Volume 2025, Issue 1, 2025.Background In developing countries such as Uganda, intestinal parasitic infections and schistosomiasis remain a serious threat to public health. Local epidemiological data are critical for the prevention and control of the disease. This study was aimed at determining the prevalence, intensity, and risk factors of schistosomiasis and other intestinal ...
John Paul Byagamy +6 more
wiley +1 more source
Optimizing Ontology Alignment through Improved NSGA-II
Discrete Dynamics in Nature and Society, 2020 Over the past decades, a large number of complex optimization problems have been widely addressed through multiobjective evolutionary algorithms (MOEAs), and the knee solutions of the Pareto front (PF) are most likely to be fitting for the decision maker
Yikun Huang, Xingsi Xue, Chao Jiang
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Automating OAEI Campaigns (First Report) [PDF]
, 2010 This paper reports the first effort into integrating OAEI and SEALS evaluation campaigns. The SEALS project aims at providing standardized resources (software components, data sets, etc.) for automatically executing evaluations of typical semantic web tools, including ontology matching tools.
Trojahn, Cássia +3 more
openaire +2 more sources
Intelligent blockchain management for distributed knowledge graphs in IoT 5G environments
Transactions on Emerging Telecommunications Technologies, Volume 35, Issue 4, April 2024.The proposed IBM‐DGK (intelligent blockchain management for distributed knowledge graph matching) employs both blockchain management and decomposition for distributed knowledge graph matching. Abstract This article introduces a new problem of distributed knowledge graph, in IoT 5G setting. We developed an end‐to‐end solution for solving such problem by
Youcef Djenouri +3 more
wiley +1 more source
A Compact Brain Storm Algorithm for Matching Ontologies
IEEE Access, 2020 An ontology can formally present the domain knowledge by specifying the domain concepts and their relationships, which is a kernel technique for addressing the data heterogeneity issue in the semantic web. However, since existing ontologies are developed
Xingsi Xue, Jiawei Lu
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