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Matching heterogeneous ontologies based on multi-strategy adaptive co-firefly algorithm
As an effective method of addressing ontology heterogeneity problem, ontology matching becomes increasingly important for knowledge sharing and...
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Covid19-IBO: A Covid-19 Impact on Indian Banking Ontology Along with an Efficient Schema Matching Approach
The exponential spread of Covid-19 is not only a serious concern for public health but has also severely affected the global economy. India is not an...
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A comprehensive review of global alignment of multiple biological networks: background, applications and open issues
Alignment of biological data aims to transfer the functional knowledge across the species by comparing the data of a well-studied one with that of a...
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QuantumShare: Towards an Ontology for Bridging the Quantum Divide
As quantum computing matures, organizations must engage early with the technology and eventually adopt it in their business operations to achieve a... -
Construction of a Core Ontology of Endogenous Knowledge on Agricultural Techniques: OntoEndo
Several resources have been identified on endogenous agro-sylvo-pastoral techniques, but some of them remain unformalized data. In a context of... -
Rail Topology Ontology: A Rail Infrastructure Base Ontology
Engineering projects for railway infrastructure typically involve many subsystems which need consistent views of the planned and built infrastructure... -
POSO: A Generic Positioning System Ontology
While satellite-based positioning systems are mainly used in outdoor environments, various other positioning techniques exist for different domains... -
Computational Ontology and Visualization Framework for the Visual Comparison of Brain Atrophy Profiles
Alzheimer’s disease (AD) accounts for more than two-thirds of all dementia cases. Existing MRI volumetry tools summarize pathology found within brain... -
Tree Edit Distance Based Ontology Merging Evaluation Framework
Merging structured knowledge has been widely investigated to build common resources in recent years. Indeed, many merging operators have been... -
Towards Association Rule-Based Complex Ontology Alignment
Ontology alignment has been studied for over a decade, and over that time many alignment systems have been developed by researchers in order to find... -
Layered ontology-based multi-sourced information integration for situation awareness
Data and information produced in network-centric environments are large and heterogeneous. As a solution to this challenge, ontology-based situation...
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OISHI: An Ontology Integration Framework for Domains of Socio-Humanitarian Importance Incorporating Hybrid Machine Intelligence
There is a need for strategic ontology integration as the integration of ontologies that are cognitive entities and by themselves are knowledge... -
Ontology Model for Supporting Process Mining on Healthcare-Related Data
In the field of Medicine, Process Mining (PM) can be used to analyse healthcare-related data to infer the underlying diagnostic, treatment, and... -
Towards metrics-driven ontology engineering
The software engineering field is continuously making an effort to improve the effectiveness of the software development process. This improvement is...
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Facing Changes: Continual Entity Alignment for Growing Knowledge Graphs
Entity alignment is a basic and vital technique in knowledge graph (KG) integration. Over the years, research on entity alignment has resided on the... -
An integrated pipeline model for biomedical entity alignment
Biomedical entity alignment, composed of two sub-tasks: entity identification and entity-concept map**, is of great research value in biomedical...
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Towards Ontology-Based Validation of EA Principles
This research demonstrates the feasibility of using enterprise ontologies as representation formalism for automated validation of Enterprise... -
New Siamese Neural Networks for Text Classification and Ontologies Alignment
Integrating heterogeneous and complementary data in clinical decision support systems (e.g., electronic health records, drug databases, scientific... -
A Systematic Approach to Generate TOGAF Artifacts Founded on Multiple Data Sources and Ontology
Enterprise Architecture (EA) standards are widely used in industry and recognized as a lingua franca between project’ stakeholders. However,... -
Evolutionary Ontology Matching Technique with User Involvement
Ontology matching is able to identify the entity correspondences between two heterogeneous ontologies, which is an effective method to solve the data...