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A learning style-based Ontology Matching to enhance learning resources recommendation
2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET), 2020Content-based recommender systems (CBRS) are widely used in various domains including the E-leaning. In the E-learning field, a content-based recommender system aims to represent and extract the knowledge about learners and the learning materials to ...
Ouafae El Aissaoui, L. Oughdir
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An optimized system for sensor ontology meta‐matching using swarm intelligent algorithm
Internet Technology LettersIt is beneficial to annotate sensor data with distinct sensor ontologies in order to facilitate interoperability among different sensor systems. However, for this interoperability to be possible, comparable sensor ontologies are required since it is ...
S. AbdulLateefHaroonP. +4 more
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Proceedings of the 3rd international conference on Knowledge capture, 2005
Abstract: Managing multiple ontologies is now a core question in most of the applications that require semantic interoperability. The semantic web is surely the most significant application of this report: the current challenge is not to design, develop and deploy domain ontologies but to define semantic correspondences among multiple ontologies ...
Trichet, Francky, Furst, Frederic
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Abstract: Managing multiple ontologies is now a core question in most of the applications that require semantic interoperability. The semantic web is surely the most significant application of this report: the current challenge is not to design, develop and deploy domain ontologies but to define semantic correspondences among multiple ontologies ...
Trichet, Francky, Furst, Frederic
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Proceedings of the International Conference on Intelligent Information Processing, Security and Advanced Communication, 2015
Aligning ontology is the process that aims to make various sources of interoperable knowledge. This process is much needed in applications of the semantic web. The algorithms alignment design (mapping, matching) is a relatively new area of research. Manually, determining terms that are semantically close in different ontology is a laborious and error ...
Bochra Brahma, Allaoua Refoufi
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Aligning ontology is the process that aims to make various sources of interoperable knowledge. This process is much needed in applications of the semantic web. The algorithms alignment design (mapping, matching) is a relatively new area of research. Manually, determining terms that are semantically close in different ontology is a laborious and error ...
Bochra Brahma, Allaoua Refoufi
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Ontology and Instance Matching
2011The growing need of sharing data and digital resources within and across organizations has produced a novel attention on issues related to ontology and instance matching. After an introductory classification of the main techniques and tools for ontology matching, the chapter focuses on instance matching by providing an accurate classification of the ...
S. Castano +3 more
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On the Ontology Instance Matching Problem
2008 19th International Conference on Database and Expert Systems Applications, 2008Most of the existing work on ontology matching is focused at the schema level, while, at the time being, instance-level matching techniques are only marginally considered. In this paper, we address the problem of ontology instance matching by providing a reference definition and by discussing key requirements and possible application fields.
S. Castano +3 more
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Ontology Matching using Neural Networks: Survey and Analysis
International Conference on Independent Component Analysis and Signal Separation, 2018Ontology matching is an effective method to establish interoperability between heterogeneous ontologies. Artificial neural networks are powerful computational models biologically inspired from human brain, and the way how they learn and process ...
Meriem Ali Khoudja +2 more
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2014 Iranian Conference on Intelligent Systems (ICIS), 2014
Ontology matching is a solution for managing heterogeneous information. Various methods have been proposed for matching problem. But matching large ontologies is a challenge yet. In this paper scalable ontology matching based on partitioning is proposed. The proposed method is consisted of three stages.
Mehradad Jalali, Vahideh Zolfaghari
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Ontology matching is a solution for managing heterogeneous information. Various methods have been proposed for matching problem. But matching large ontologies is a challenge yet. In this paper scalable ontology matching based on partitioning is proposed. The proposed method is consisted of three stages.
Mehradad Jalali, Vahideh Zolfaghari
openaire +2 more sources
ACM Computing Surveys, 2018
Ontologies have become a popular means of knowledge sharing and reuse. This has motivated the development of large-sized independent ontologies within the same or different domains with some overlapping information among them.
Peter Ochieng, Swaib Kyanda
semanticscholar +1 more source
Ontologies have become a popular means of knowledge sharing and reuse. This has motivated the development of large-sized independent ontologies within the same or different domains with some overlapping information among them.
Peter Ochieng, Swaib Kyanda
semanticscholar +1 more source
The Survey for Ontology Matching
Applied Mechanics and Materials, 2014An ontology enhances interoperability among applications via the Web. However, heterogeneity between ontologies blocks interoperability across ontologies via the Web. This paper introduces the classification of information used to matching ontologies, presents matching technologies in some aspects, and gives a brief outlook of these technologies, such ...
Chang Jiang Zhu, Yan Ping Chu
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