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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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Efficient Ontology Meta-Matching Based on Interpolation Model Assisted Evolutionary Algorithm
Mathematics, 2022 Ontology is the kernel technique of the Semantic Web (SW), which models the domain knowledge in a formal and machine-understandable way. To ensure different ontologies’ communications, the cutting-edge technology is to determine the heterogeneous entity ...
Xingsi Xue, Qi Wu, Miao Ye, Jianhui Lv
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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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Dealing with uncertain entities in ontology alignment using rough sets [PDF]
, 2012 This is the author's accepted manuscript. The final published article is available from the link below. Copyright @ 2012 IEEE. Personal use of this material is permitted.
Alireza Mousavi +4 more
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Multimatcher Model to Enhance Ontology Matching Using Background Knowledge
Information, 2021 Ontology matching is a rapidly emerging topic crucial for semantic web effort, data integration, and interoperability. Semantic heterogeneity is one of the most challenging aspects of ontology matching.
Sohaib Al-Yadumi +4 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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Toward the Multilingual Semantic Web: Multilingual Ontology Matching and Assessment
IEEE Access, 2023 The amount of multilingual data on the Web proliferates; therefore, developing ontologies in various natural languages is attracting considerable attention.
Shimaa Ibrahim +3 more
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Matching Biomedical Ontologies through Adaptive Multi-Modal Multi-Objective Evolutionary Algorithm
Biology, 2021 To integrate massive amounts of heterogeneous biomedical data in biomedical ontologies and to provide more options for clinical diagnosis, this work proposes an adaptive Multi-modal Multi-Objective Evolutionary Algorithm (aMMOEA) to match two ...
Xingsi Xue, Pei-Wei Tsai, Yucheng Zhuang
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Minimizing conservativity violations in ontology alignments: algorithms and evaluation [PDF]
, 2017 In order to enable interoperability between ontology-based systems, ontology matching techniques have been proposed. However, when the generated mappings lead to undesired logical consequences, their usefulness may be diminished.
A Borgida +37 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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