Results 41 to 50 of about 1,019 (134)

Solving Ontology Meta-Matching Problem Through an Evolutionary Algorithm With Approximate Evaluation Indicators and Adaptive Selection Pressure

open access: yesIEEE 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
doaj   +1 more source

An Iterative Automatic Final Alignment Method in the Ontology Matching System

open access: yesJournal of Information and Organizational Sciences, 2018
Ontology matching plays an important role in the integration of heterogeneous data sources that are described by ontologies. In order to determine correspondences between ontologies, a set of matchers can be used.
Marko Gulić   +2 more
doaj   +1 more source

Efficient Ontology Meta-Matching Based on Interpolation Model Assisted Evolutionary Algorithm

open access: yesMathematics, 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
doaj   +1 more source

Similarity Feature Construction for Matching Ontologies through Adaptively Aggregating Artificial Neural Networks

open access: yesMathematics, 2023
Ontology is the kernel technique of Semantic Web (SW), which enables the interaction and cooperation among different intelligent applications. However, with the rapid development of ontologies, their heterogeneity issue becomes more and more serious ...
Xingsi Xue   +3 more
doaj   +1 more source

Instance-Based Ontology Matching For Open and Distance Learning Materials

open access: yesInternational Review of Research in Open and Distributed Learning, 2017
The present work describes an original associative model of pattern classification and its application to align different ontologies containing Learning Objects (LOs), which are in turn related to Open and Distance Learning (ODL) educative content.
Sergio Cerón-Figueroa   +5 more
doaj   +1 more source

Using NSGA-III for optimising biomedical ontology alignment

open access: yesCAAI 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
doaj   +1 more source

Interactive Cross-Lingual Ontology Matching

open access: yesIEEE Access, 2019
Recently, with the growing number of ontologies defined in different languages, to bridge the semantic gaps between them, it is necessary to identify the correspondences between their heterogeneous entities, so-called cross-lingual ontology matching. Due
Junfeng Chen   +3 more
doaj   +1 more source

Matching Network of Ontologies: A Random Walk and Frequent Itemsets Approach

open access: yesIEEE Access, 2022
A System of Systems (SoS) is a complex set of IS (Information Systems) created by the aggregation and interconnection of ISs. SoS brings unexpected behavior and functionality during its construction to the benefit of its users and the SoS itself.
Fabio Santos, Carlos E. Mello
doaj   +1 more source

Ontology Knowledge Mining for Ontology Alignment

open access: yesInternational 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   +1 more source

Optimizing Biomedical Ontology Alignment through a Compact Multiobjective Particle Swarm Optimization Algorithm Driven by Knee Solution

open access: yesDiscrete Dynamics in Nature and Society, 2020
Nowadays, most real-world decision problems consist of two or more incommensurable or conflicting objectives to be optimized simultaneously, so-called multiobjective optimization problems (MOPs).
Xingsi Xue, Xiaojing Wu, Junfeng Chen
doaj   +1 more source

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