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Fuzzy Logic Framework for Ontology Concepts Alignment
The problem of ontology alignment appears when interoperability of independently created ontologies is expected. The task can be described as...
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Ontology Alignment for Accurate Ontology Matching: A Survey
Edge computing, a distributed computing architecture within the knowledge-defined network (KDN), faces challenges due to the significant disparities...
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Measuring Clusters of Labels in an Embedding Space to Refine Relations in Ontology Alignment
Ontology alignment plays a key role in the management of heterogeneous data sources and metadata. In this context, various ontology alignment...
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Deep reinforcement learning approach for ontology matching problem
The ontology matching is an active field of research, which is considered as a key solution to solve the semantic heterogeneity problem. Given two...
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Fuzzy Logic Framework for Ontology Instance Alignment
The widely addressed topic of ontology alignment to this day contains several open research questions that remain either unanswered or only vaguely...
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A logical model for the ontology alignment repair game
Ontology alignments enable agents to communicate while preserving heterogeneity in their knowledge. Alignments may not be provided as input and...
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The New Mechanistic Approach and Cognitive Ontology—Or: What Role do (Neural) Mechanisms Play in Cognitive Ontology?
Cognitive ontology has become a popular topic in philosophy, cognitive psychology, and cognitive neuroscience. At its center is the question of which...
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IRI_Debug: An Ontology Evaluation Tool
We use ontology to capture the knowledge about domains. There are considerable number of ontologies which have been developed. To develop a new...
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Ontology-Compliant Knowledge Graphs
Ontologies can act as a schema for constructing knowledge graphs (KGs), offering explainability, interoperability, and reusability. We explore...
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A novel compact fireworks algorithm for solving ontology meta-matching
Ontology, presentation of the world clearly, is a conceptualized and formalized model of knowledge. Knowledge interpretation is subjective,...
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Alfa: active learning for graph neural network-based semantic schema alignment
Semantic schema alignment aims to match elements across a pair of schemas based on their semantic representation. It is a key primitive for data...
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Ontology-based security modeling in ArchiMate
Enterprise Risk Management involves the process of identification, evaluation, treatment, and communication regarding risks throughout the...
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Using Referential Language Games for Task-oriented Ontology Alignment
Ontology Alignment (OA) is generally performed by requesting two parties to provide their complete knowledge to a third party that suggests potential...
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A Graph-Based Ontology Matching Framework
Ontologies are domain-specific metadata that describe relationships between a specific field’s properties, sample data of this field, and properties...
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Contextual semantic embeddings for ontology subsumption prediction
Automating ontology construction and curation is an important but challenging task in knowledge engineering and artificial intelligence. Prediction...
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Introduction to Entity Alignment
In this section, we provide a concise overview of the entity alignment task and also discuss other related tasks that have a close connection to...
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GenSpecVidOnt: a reference ontology for knowledge based video analytics with multimodal genre detection
Video analytics refers to the process of automatically analysing a video for spatial and temporal events. Effective video analytics require...
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MBCO: The Materials-Based Business Case Ontology from BPMN-EMMO Integration
Open innovation in materials research involves the collaborative sharing of knowledge, ideas, and resources across organisations. Unfortunately, a...
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Towards User Profile Meta-Ontology
With the rapid advancement of digital transformation, a large amount of data related to human activities is being gathered. Whilst knowing and...
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Review of Deep Learning-Based Entity Alignment Methods
Entity alignment aims to discover different references to the same entity in different graphs, and it is a key technique for solving graph-related...