Results 41 to 50 of about 201 (161)
Instance-Based Ontology Matching For Open and Distance Learning Materials
International Review of Research in Open and Distributed Learning, 2017 The present work describes an original associative model of pattern classification and its application to align different ontologies containing Learning Objects (LOs), which are in turn related to Open and Distance Learning (ODL) educative content.
Sergio Cerón-Figueroa +5 more
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Using NSGA-III for optimising biomedical ontology alignment
CAAI Transactions on Intelligence Technology, 2019 To support semantic inter-operability between the biomedical information systems, it is necessary to determine the correspondences between the heterogeneous biomedical concepts, which is commonly known as biomedical ontology matching. Biomedical concepts
Xingsi Xue +3 more
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AUTOMSv2 Results for OAEI 2012 [PDF]
CEUR Workshop Proceedings, 2012 This paper presents AUTOMSv2 effort towards building a tool for the automated alignment of domain ontologies. The developed tool is a result of our motivation to rebuild AUTOMS tool (presented in OAEI 2006) by putting together a) a well-known, widely used and continuously evolving/maintained alignment framework b) the synthesis of state-of-the-art ...
Katasonov Artem +2 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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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 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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Discrete Dynamics in Nature and Society, 2020 Nowadays, most real-world decision problems consist of two or more incommensurable or conflicting objectives to be optimized simultaneously, so-called multiobjective optimization problems (MOPs).
Xingsi Xue, Xiaojing Wu, Junfeng Chen
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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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AI Magazine, Volume 47, Issue 2, Summer 2026.Abstract The exponential growth of scientific literature—over 2.5 million papers and 3.5 million patents annually—poses critical challenges for knowledge discovery. To address these, we propose SCIMKG (Scientific Knowledge Graph), a framework for constructing scientific knowledge graphs via multi‐source heterogeneous multi‐source.
Erxi Zhu, Yuan Hu
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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