Results 11 to 20 of about 1,055,752 (313)
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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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
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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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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Evaluating and comparing ontology alignment systems: An MCDM approach
Web Semantics, 2020 Ontology alignment is vital in Semantic Web technologies with numerous applications in diverse disciplines. Due to diversity and abundance of ontology alignment systems, a proper evaluation can portray the evolution of ontology alignment and depicts the ...
M. Mohammadi, J. Rezaei
semanticscholar +3 more sources
Ontology alignment through argumentation [PDF]
, 2012 Currently, the majority of matchers are able to establish simple correspondences between entities, but are not able to provide complex alignments. Furthermore, the resulting alignments do not contain additional information on how they were extracted ...
Luz, Nuno +3 more
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Ontology Alignment—A Survey with Focus on Visually Supported Semi-Automatic Techniques
Future Internet, 2010 Semantic technologies are of paramount importance to the future Internet. The reuse and integration of semantically described resources, such as data or services, necessitates the bringing of ontologies into mutual agreement.
Klaus Tochtermann +4 more
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TOWARDS THE AUTOMATIC ONTOLOGY GENERATION AND ALIGNMENT OF BIM AND GIS DATA FORMATS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 Establishing semantic interoperability between BIM and GIS is vital for geospatial information exchange. Semantic web have a natural ability to provide seamless semantic representation and integration among the heterogeneous domains like BIM and GIS ...
A. U. Usmani, M. Jadidi, G. Sohn
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Exploring Large Language Models for Ontology Alignment [PDF]
International Workshop on the Semantic Web, 2023 This work investigates the applicability of recent generative Large Language Models (LLMs), such as the GPT series and Flan-T5, to ontology alignment for identifying concept equivalence mappings across ontologies.
Yuan He +3 more
semanticscholar +1 more source
Ontology Alignment Method Based on Self-attention [PDF]
Jisuanji kexue, 2022 With the development of knowledge graph in the field of artificial intelligence,there is an increasing demand to integrate knowledge graph from different sources to obtain a big knowledge graph with wider coverage.Ontology is the superstructure that can ...
WU Zi-yi, LI Shao-mei, JIANG Meng-han, ZHANG Jian-peng
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