Biomedical ontology alignment: an approach based on representation learning [PDF]
Journal of Biomedical Semantics, 2018 Background While representation learning techniques have shown great promise in application to a number of different NLP tasks, they have had little impact on the problem of ontology matching.
Prodromos Kolyvakis +3 more
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Optimizing Sensor Ontology Alignment through Compact co-Firefly Algorithm [PDF]
Sensors, 2020 Semantic Sensor Web (SSW) links the semantic web technique with the sensor network, which utilizes sensor ontology to describe sensor information. Annotating sensor data with different sensor ontologies can be of help to implement different sensor ...
Xingsi Xue, Junfeng Chen
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Deep Ontology Alignment Using a Natural Language Processing Approach for Automatic M2M Translation in IIoT [PDF]
Sensors, 2023 The technical capabilities of modern Industry 4.0 and Industry 5.0 are vast and growing exponentially daily. The present-day Industrial Internet of Things (IIoT) combines manifold underlying technologies that require real-time interconnection and ...
Saleha Javed +4 more
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Ecology and Biodiversity Ontology Alignment for Smart Environment via Adaptive Compact Evolutionary Algorithm [PDF]
Frontiers in Plant Science, 2022 Smart Environment (SE) focuses on the initiatives for healthy living, where ecological issues and biodiversity play a vital role in the environment and sustainability.
Xingsi Xue, Xingsi Xue, Pei-Wei Tsai
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Experiences from the anatomy track in the ontology alignment evaluation initiative [PDF]
Journal of Biomedical Semantics, 2017 Background One of the longest running tracks in the Ontology Alignment Evaluation Initiative is the Anatomy track which focuses on aligning two anatomy ontologies. The Anatomy track was started in 2005.
Zlatan Dragisic +3 more
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Ontology Alignment Repair through Modularization and Confidence-Based Heuristics. [PDF]
PLoS ONE, 2015 Ontology Matching aims at identifying a set of semantic correspondences, called an alignment, between related ontologies. In recent years, there has been a growing interest in efficient and effective matching methods for large ontologies.
Emanuel Santos +3 more
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Search-optimized quantization in biomedical ontology alignment [PDF]
Frontiers in Artificial IntelligenceIn the fast-moving world of AI, as organizations and researchers develop more advanced models, they face challenges due to their sheer size and computational demands.
Oussama Bouaggad +2 more
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Optimizing Ontology Alignment through Improved NSGA-II [PDF]
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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Ontology Alignment Architecture for Semantic Sensor Web Integration [PDF]
Sensors, 2013 Sensor networks are a concept that has become very popular in data acquisition and processing for multiple applications in different fields such as industrial, medicine, home automation, environmental detection, etc.
Bernardo Alarcos +3 more
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Matching disease and phenotype ontologies in the ontology alignment evaluation initiative [PDF]
Journal of Biomedical Semantics, 2017 Background The disease and phenotype track was designed to evaluate the relative performance of ontology matching systems that generate mappings between source ontologies.
Ian Harrow +9 more
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