Results 51 to 60 of about 1,019 (134)
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
TOM matcher results for OAEI 2021 [PDF]
This paper presents the matching system TOM together with its results in the Ontology Alignment Evaluation Initiative 2021 (OAEI 2021). This is the first participation of TOM in the OAEI.
Borg, Niklas +3 more
core +1 more source
Abstract The exponential growth of scientific literature—over 2.5 million papers and 3.5 million patents annually—poses critical challenges for knowledge discovery. To address these, we propose SCIMKG (Scientific Knowledge Graph), a framework for constructing scientific knowledge graphs via multi‐source heterogeneous multi‐source.
Erxi Zhu, Yuan Hu
wiley +1 more source
Optimizing Ontology Alignment through Improved NSGA-II
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
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 +2 more
wiley +1 more source
A Compact Brain Storm Algorithm for Matching Ontologies
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
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 +6 more
wiley +1 more source
ALOD2vec matcher results for OAEI 2021 [PDF]
This paper presents the results of the ALOD2vec Matcher in the Ontology Alignment Evaluation Initiative (OAEI) 2021. The matching system exploits a Web-scale dataset, i.e. WebIsALOD, as background knowledge source.
Paulheim, Heiko, Portisch, Jan
core +1 more source
Intelligent blockchain management for distributed knowledge graphs in IoT 5G environments
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 +3 more
wiley +1 more source
Ontology Merging Using the Weak Unification of Concepts
Knowledge representation and manipulation in knowledge-based systems typically rely on ontologies. The aim of this work is to provide a novel weak unification-based method and an automatic tool for OWL ontology merging to ensure well-coordinated task ...
Norman Kuusik, Jüri Vain
doaj +1 more source

