Results 51 to 60 of about 201 (161)
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 +2 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
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 +6 more
wiley +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 +3 more
wiley +1 more source
Ontology Merging Using the Weak Unification of Concepts
Big Data and Cognitive ComputingKnowledge 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
ASE Results for OAEI 2012 [PDF]
CEUR Workshop Proceedings, 2012 This paper presents ASE (Aligning Smart Entities) tool for the automated alignment of OWL domain ontology definitions in the context of Internet of Things (IoT). The effort is based on experience gained by the development of AUTOMSv2 for OAEI 2012. The development process of this tool has been driven by our motivation to use the ontology alignment ...
Katasonov Artem +2 more
openaire +1 more source
OAEI 2018 results of POMap++. [PDF]
, 2018 Ontology matching is the process of finding a set of corre-spondences between the entities of two or more ontologies representing asimilar domain. POMap++ is an ontology matching system associatingontology partitioning to the machine learning techniques. This associ-ation delivers a local matching learning.
Laadhar, Amir +5 more
openaire +1 more source
CroMatcher - results for OAEI 2016 [PDF]
, 2016 Ontology matching plays an important role in the integration of heterogeneous data sources that are described by ontologies. In order to find correspondences between entities of different ontolog ies, a matching system has to be built. CroMatcher is an ontology matching system that consists of several string and structural basic matchers. As individual
Gulić, Marko +2 more
openaire +2 more sources
Inconsistency Repair to Improve the Alignment Results of Ontology Matchers
International Journal of Information and Communication Technology Research, 2017 Ontology inconsistency is one of the most important topics in the field of ontology matching. Until now many matchers are introduced but most of them suffer from inconsistencies.
Bahareh Behkamal, Mahmoud Naghibzadeh
doaj
LYAM++ Results for OAEI 2015 [PDF]
, 2015 The paper presents a novel technique for aligning cross-lingual ontologies that does not rely on machine translation, but uses the large multilingual semantic network BabelNet as a source of background knowledge. In addition, our approach applies a novel orchestration of the components of the matching workflow.
Tigrine, Abdel Nasser +2 more
openaire +1 more source