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
doaj +6 more sources
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
doaj +3 more sources
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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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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
Ontology Knowledge Mining for Ontology Alignment [PDF]
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
doaj +3 more sources
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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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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Dividing the Ontology Alignment Task with Semantic Embeddings and Logic-based Modules [PDF]
European Conference on Artificial Intelligence, 2020 Large ontologies still pose serious challenges to state-of-the-art ontology alignment systems. In this paper we present an approach that combines a neural embedding model and logic-based modules to accurately divide an input ontology matching task into ...
Agibetov, A. +4 more
core +3 more sources