Results 11 to 20 of about 1,174,184 (329)
A multi-objective particle swarm optimization with density and distribution-based competitive mechanism for sensor ontology meta-matching [PDF]
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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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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Machine Learning-Friendly Biomedical Datasets for Equivalence and Subsumption Ontology Matching [PDF]
International Workshop on the Semantic Web, 2022 Ontology Matching (OM) plays an important role in many domains such as bioinformatics and the Semantic Web, and its research is becoming increasingly popular, especially with the application of machine learning (ML) techniques.
Yuan He +5 more
openalex +3 more sources
DAEOM: A Deep Attentional Embedding Approach for Biomedical Ontology Matching
Applied Sciences, 2020 Ontology Matching (OM) is performed to find semantic correspondences between the entity elements of different ontologies to enable semantic integration, reuse, and interoperability.
Jifang Wu +3 more
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Springer Berlin Heidelberg, 2007 No abstract available.
Euzenat, Jérôme, Shvaiko, Pavel
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Interactive biomedical ontology matching
PLOS ONE, 2019 Due to continuous evolution of biomedical data, biomedical ontologies are becoming larger and more complex, which leads to the existence of many overlapping information. To support semantic inter-operability between ontology-based biomedical systems, it is necessary to identify the correspondences between these information, which is commonly known as ...
Xingsi Xue, Zhi Hang, Zhengyi Tang
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An ontology matching approach for semantic modeling: A case study in smart cities [PDF]
International Conference on Climate Informatics, 2021 This paper investigates the semantic modeling of smart cities and proposes two ontology matching frameworks, called Clustering for Ontology Matching-based Instances (COMI) and Pattern mining for Ontology Matching-based Instances (POMI).
Akli-Astouati, Karima +4 more
core +2 more sources
Visual Analysis of Ontology Matching Results with the MELT Dashboard [PDF]
arXiv, 2020 In this demo, we introduce MELT Dashboard, an interactive Web user interface for ontology alignment evaluation which is created with the existing Matching EvaLuation Toolkit (MELT). Compared to existing, static evaluation interfaces in the ontology matching domain, our dashboard allows for interactive self-service analyses such as a drill down into the
Jan Portisch +2 more
arxiv +2 more sources
Matching Ontologies through Multi-Objective Evolutionary Algorithm with Relevance Matrix [PDF]
Mathematics, 2022 The ultimate goal of semantic web (SW) is to implement mutual collaborations among ontology-based intelligent systems. To this end, it is necessary to integrate those domain-independent and cross-domain ontologies by finding the correspondences between ...
Hai Zhu, Xingsi Xue, Hongfeng Wang
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IEEE Access, 2021 Ontology applies commonly to solve the problem of heterogeneity of data in the Semantic Web, but the heterogeneity problem between two ontologies seriously affects their communication.
Qing Lv, Chengcai Jiang, He Li
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