Results 61 to 70 of about 618 (178)

MultiFarm: A benchmark for multilingual ontology matching

, 2012
In this paper we present the MultiFarm dataset, which has been designed as a benchmark for multilingual ontology matching. The MultiFarm dataset is composed of a set of ontologies translated in different languages and the corresponding alignments between
Svátek, Vojtěch, Stuckenschmidt, H., Wang, Shenghui Shenghui, Wang, Shenghui, Meilicke, C., Meilicke, Christian, van Hage, W.R., Ribeiro de Azevedo, Ryan, García Castro, Raúl, Montiel Ponsoda, Elena, Azevedo, Ryan Ribeiro de, Šváb-Zamazal, Ondřej, Tamalin, A., Freitas, Fred, Trojahn, Cássia, Trojahn dos Santos, Cassia, García-Castro, Raúl, Montiel-Ponsoda, E., Montiel-Ponsoda, Elena, van Hage, Willem Robert, Ribeiro de Azevedo, R., Stuckenschmidt, Heiner, Wang, S., Freitas, F., Freitas, Frederico, Tamilin, Andrei, Svatek, V., Hage, Willem Robert van, Svab-Zamazal, O., Robert van Hage, Willem, García-Castro, R.   +30 more
core   +1 more source

Ontology Matching Method Based on Deep Learning and Syntax

Big Data and Cognitive Computing
Ontology technology addresses data heterogeneity challenges in Internet of Everything (IoE) systems enabled by Cyber Twin and 6G, yet the subjective nature of ontology engineering often leads to differing definitions of the same concept across ontologies,
Jiawei Lu, Changfeng Yan
doaj   +1 more source

Ontology Knowledge Mining for Ontology Alignment

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, Karim Saheb Ettabaa, Basel Solaiman, Kamel Hamrouni   +3 more
doaj   +1 more source

A multi-objective particle swarm optimization with density and distribution-based competitive mechanism for sensor ontology meta-matching

Complex & Intelligent Systems, 2022
Sensor ontology is a standard conceptual model that describes information of sensor device, which includes the concepts of various sensor modules and the relationships between them.
Aifeng Geng, Qing Lv
doaj   +1 more source

Wiktionary matcher results for OAEI 2021 [PDF]

, 2022
This paper presents the results of the Wiktionary Matcher in the Ontology Alignment Evaluation Initiative (OAEI) 2021. Wiktionary Matcher is an ontology matching tool that exploits Wiktionary as external background knowledge source. Wiktionary is a large
Paulheim, Heiko, Portisch, Jan
core  

Semantic sensor data integration for talent development via hybrid multi‐objective evolutionary algorithm

Internet Technology Letters, Volume 8, Issue 2, March/April 2025.
Abstract In this work, we propose a new hybrid Multi‐Objective Evolutionary Algorithm (hMOEA) specifically designed for semantic sensor data integration, targeting talent development within the burgeoning field of the Semantic Internet of Things (SIoT).
Fang Luo, Ya‐Juan Yang, Yu‐Cheng Geng   +2 more
wiley   +1 more source

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
doaj   +1 more source

Prevalence, Intensity, and Risk Factors of Schistosoma mansoni and Other Intestinal Parasites: A Cross‐Sectional Study in Rural Agricultural Communities of Lango Subregion, Uganda

Journal of Parasitology Research, Volume 2025, Issue 1, 2025.
Background In developing countries such as Uganda, intestinal parasitic infections and schistosomiasis remain a serious threat to public health. Local epidemiological data are critical for the prevention and control of the disease. This study was aimed at determining the prevalence, intensity, and risk factors of schistosomiasis and other intestinal ...
John Paul Byagamy, Robert Opiro, Margaret Nyafwono, Geoffrey Maxwell Malinga, Richard Echodu, Emmanuel Igwaro Odongo-Aginya, Lizandra Guidi Magalhães   +6 more
wiley   +1 more source

A Compact Brain Storm Algorithm for Matching Ontologies

IEEE Access, 2020
An ontology can formally present the domain knowledge by specifying the domain concepts and their relationships, which is a kernel technique for addressing the data heterogeneity issue in the semantic web. However, since existing ontologies are developed
Xingsi Xue, Jiawei Lu
doaj   +1 more source

Intelligent blockchain management for distributed knowledge graphs in IoT 5G environments

Transactions on Emerging Telecommunications Technologies, Volume 35, Issue 4, April 2024.
The proposed IBM‐DGK (intelligent blockchain management for distributed knowledge graph matching) employs both blockchain management and decomposition for distributed knowledge graph matching. Abstract This article introduces a new problem of distributed knowledge graph, in IoT 5G setting. We developed an end‐to‐end solution for solving such problem by
Youcef Djenouri, Gautam Srivastava, Asma Belhadi, Jerry Chun‐Wei Lin   +3 more
wiley   +1 more source