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Enhanced Ontology Matching for Big Data Integration

Nesma Mahmoud, Hatem M Abdlkader
2020 Journal of Physics, Conference Series  
Based on the experimental results evaluation, the proposed semantic matcher is promising and efficient in the semantic OM for BDI.  ...  ontology matching (OM) is a critical process for many disciplines. It aims at identifying the semantic correspondences among different ontologies that are merged for data integration.  ...  Two tracks for different domains are selected from the OAEI, the conference 3 and the anatomy 4 .  ... 
doi:10.1088/1742-6596/1447/1/012028 fatcat:ltonhtmpdvfalcf5aeairdxqpa

Evaluating and comparing ontology alignment systems: An MCDM approach

Majid Mohammadi, Jafar Rezaei
2020 Journal of Web Semantics  
Accordingly, the participating alignment systems in the OAEI 2018 are evaluated and ranked.  ...  First, the importance of a performance metric for a specific task/application is determined according to experts' preferences.  ...  For instance, KEPLER is superior to Alin with 0.80 confidence based on multiple performance metrics.  ... 
doi:10.1016/j.websem.2020.100592 fatcat:pqadg6c6trh4xbz5vf5df7riru

Ensemble Ranking: Aggregation of rankings produced by different multi-criteria decision-making methods

Majid Mohammadi, Jafar Rezaei
2020 Omega : The International Journal of Management Science  
OAEI track Alignment systems Anatomy LogMapBio, DOME, POMAP ++ , Holontology, ALIN, AML, XMap, LogMap, ALOD2Vec, FCAMapX, KEPLER, LogMapLite, SANOM, Lily Conference Holontology, DOME, ALIN, AML,  ...  The proposed method utilizes the HQ theory which results in estimating a weight for each of the MCDM methods.  ... 
doi:10.1016/j.omega.2020.102254 fatcat:y25e5yqwxnfdnolgenfjla67de

xMatcher: Matching Extensible Markup Language Schemas using Semantic-based Techniques

Aola Yousfi, Moulay Hafid, Ahmed Zellou
2020 International Journal of Advanced Computer Science and Applications  
Manual correction is labor-intensive and time-consuming, however without it the results accuracy is significantly lower.  ...  The results show that xMatcher provides superior matching accuracy compared to the state of the art matching systems.  ...  For matching results, we used the previously published results produced by twelve ontology matching systems (SANOM [31] , AML [13] , LogMap [32] , XMap [33] , KEPLER [34] , ALIN [9] , DOME [11]  ... 
doi:10.14569/ijacsa.2020.0110880 fatcat:wcwlkwiddbexhjypkr3csjcmcm

The Empirical Evaluation of Semantic Alignment Quality Metrics for Vehicle Domain Component Frameworks Interface Ontologies

Sangita De, Premek Brada, Juergen Mottok, Michael Niklas
2021 Proceedings of the ... International Florida Artificial Intelligence Research Society Conference  
For efficient services collaboration through cross-enterprise semantic interoperability between the vehicle application frameworks' software components, aligning the interface ontologies of these components  ...  substantial role of semantic alignment of software component frameworks' interface ontologies in semantic interoperability, a typical vehicle domain case study involving vehicle applications is considered for  ...  Alin, an interactive ontology matching approach (Silva, Revoredo, Baião, and Euzenat 2020) using domain experts' feedback, is ranked as the highest data precision approach under OAEI.  ... 
doi:10.32473/flairs.v34i1.128512 fatcat:7th3g5a7qrcibfyy4tyfvcbuhm

hMatcher: Matching Schemas Holistically

Aola Yousfi, Mohammed V University in Rabat, Moulay Yazidi, Ahmed Zellou, Mohammed V University in Rabat, Mohammed V University in Rabat
2020 International Journal of Intelligent Engineering and Systems  
pairwise matching approaches are ideally used for a small to a medium total number of data sources.  ...  Experimental results on a real-world domain dataset show that hMatcher performs holistic schema matching properly, reaches a high matching accuracy (Precision=0.89;Recall=0.66;Overall=0.57), and outperforms  ...  Results and discussions ALIN and Lily match merely classes.  ... 
doi:10.22266/ijies2020.1031.43 fatcat:mhtqgeyuhng2ppr6zj3hp7ersa

Assessing ontology mappings on a level of concepts and instances

Marcin Pietranik, Adrianna Kozierkiewicz, Mateusz Wesolowski
2020 IEEE Access  
For these reasons, for the evaluation of the defined algorithms, the data provided by the OAEI organization will be used.  ...  In OAEI competition the most popular is F 1 , however for Conference track the analysis are made also for F 0.5 and F 2 [18] , [6] .  ... 
doi:10.1109/access.2020.3026397 fatcat:hw3j367cxvgobiqzk4gkpq3hm4

FOntCell: Fusion of Ontologies of Cells

Javier Cabau-Laporta, Alex M. Ascensión, Mikel Arrospide-Elgarresta, Daniela Gerovska, Marcos J. Araúzo-Bravo
2021 Frontiers in Cell and Developmental Biology  
We compared FOntCell with tools used for the alignment of mouse and human anatomy ontologies task proposed by the Ontology Alignment Evaluation Initiative (OAEI) and found that the Fβ alignment accuracies  ...  High-throughput cell-data technologies such as single-cell RNA-seq create a demand for algorithms for automatic cell classification and characterization.  ...  ACKNOWLEDGMENTS The authors would like to thank to two reviewers for their insightful feedback and Olga Ibáñez-Solé for fruitful discussion during the preparation of this manuscript.  ... 
doi:10.3389/fcell.2021.562908 pmid:33644039 pmcid:PMC7905052 fatcat:nreci6fjmfcfzi7envsctktgfq

Building Real-Time Ontology Based on Adaptive Filter for Multi-Domain Knowledge Organization

Jianhui Zhou, Xiaoxia Song, Yong Li, Yun Gao, Xulong Zhang
2021 IEEE Access  
According to results of OAEI 2020 [43] , AML was adopted in this paper, who was an automatic method and low consumption, and whose accuracy and recall were high enough. III. PRELIMINARIES A.  ...  It was suitable for dealing with large-scale ontology matching problem. ALIN was an ontology matching system, which generate alignment interactively [38] .  ...  Author Name: Preparation of Papers for IEEE Access (February 2017) VOLUME XX, 2017 9 Author Name: Preparation of Papers for IEEE Access (February 2017) VOLUME XX, 2017 9  ... 
doi:10.1109/access.2021.3076833 fatcat:lw6eoh4c4jbybewffwvbqeumiy

Optimizing Sensor Ontology Alignment through Compact co-Firefly Algorithm

Xingsi Xue, Junfeng Chen
2020 Sensors  
The statistical results show that CcFA based ontology matching technique can effectively match the sensor ontologies and other general ontologies in the domain of organizing conferences.  ...  Since the Swarm Intelligent Algorithm (SIA) represents a good methodology for addressing the ontology matching problem, we investigate a popular SIA, that is, the Firefly Algorithm (FA), to optimize the  ...  In Figure 4 , we compare CcFA with OAEI's participants (http://oaei. ontologymatching.org/2019/results/conference/index.html) in terms of average f-measure.  ... 
doi:10.3390/s20072056 pmid:32268547 pmcid:PMC7180685 fatcat:vze4pralwfhtnnujoh4ugcdnze