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An experimental analysis on evolutionary ontology meta-matching
Every year, new ontology matching approaches have been published to address the heterogeneity problem in ontologies. It is well known that no one is...
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Text recuperated using ontology with stable marriage optimization technique and text visualization using AR
Written text stands as a cornerstone of communication in our daily lives. However, it is not uncommon for letters to be marred by obscurities,...
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Design of a data storage and retrieval ontology for the efficient integration of information in artificial intelligence systems
This article proposes an innovative approach to designing an ontology for data storage and retrieval, effectively integrating information into...
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Uncertainty Analysis in Ontology-Based Knowledge Representation
There are various real-world applications and areas, knowledge that handles with ambiguity, imperfect, or partial are difficult to capture. Such...
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Augmenting Ontology Alignment by Semantic Embedding and Distant Supervision
Ontology alignment plays a critical role in knowledge integration and has been widely investigated in the past decades. State of the art systems,...
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Core manufacturing ontology to model manufacturing operations and sequencing knowledge
It is critical to capture and share product manufacturability knowledge along with manufacturing operations and their sequences to enhance the...
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Entity alignment based on informative neighbor sampling and multi-embedding graph matching
Entity alignment is an important and necessary step in the process of knowledge fusion, which aims to match entities with the same meaning in...
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CAI: Complex Ontology Alignments Using Lexical Indexation
Ontology matching is the process of automatically determining the semantic equivalences between the concepts of two ontologies. However, simple...
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Probing the Impacts of Visual Context in Multimodal Entity Alignment
We study the problem of multimodal embedding-based entity alignment (EA) between different knowledge graphs. Recent works have attempted to...
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Ontology Matching Using Multi-head Attention Graph Isomorphism Network
Ontology matching is a widely used solution to the semantic heterogeneity problem in data integration or sharing. It consists of establishing...
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Addressing the Value Alignment Problem Through Online Institutions
As artificial intelligence systems permeate society, it becomes clear that aligning the behaviour of these systems with the values of those involved...
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Iterative Geographic Entity Alignment with Cross-Attention
Aligning schemas and entities of community-created geographic data sources with ontologies and knowledge graphs is a promising research direction for...
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A Fuzzy OWL Ontologies Embedding for Complex Ontology Alignments
The semantic heterogeneity concern in the information integration can be handled by applying ontology alignment. The purpose of the ontology...
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Enhancing Requirement-Information Map** for Sustainable Buildings: Introducing the SFIR Ontology
Achieving a sustainable and decarbonized built environment is critical to meeting global climate and development goals, yet current approaches face...
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Multimedia ontology population through semantic analysis and hierarchical deep features extraction techniques
The rapid increase of available data in different complex contexts needs automatic tasks to manage and process contents. Semantic Web technologies...
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Ontology-Based Interaction Design for Social-Ecological Systems Research
Contemporary social-ecological systems (SESs) research that supports policy and decision-making to tackle sustainability issues requires...
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Improving recommendation diversity and serendipity with an ontology-based algorithm for cold start environments
Every real-life environments where users interact with items (products, films, research expert profiles) have several development phases. In the...
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Toward an Ontology of Pattern Mining over Data Streams
Pattern Mining over Data Stream (PMDS) is part of the most significant task in data mining. A major challenge is to define a representational...
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i-Align: an interpretable knowledge graph alignment model
Knowledge graphs (KGs) are becoming essential resources for many downstream applications. However, their incompleteness may limit their potential....
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A core IoT ontology for automation support in edge computing
Service providers provision more and more Internet-of-Things (IoT) services in the cloud for dynamicity and cost-effectiveness purposes. This is made...
