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Using Tacit Expert Knowledge to Support Shop-floor Operators Through a Knowledge-based Assistance System
The increasing complexity of industrial production systems is challenging employees on the shop-floor in their daily work. Specific knowledge about...
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Knowledge-based system for three-way decision-making under uncertainty
Knowledge-based systems developed based on Dempster–Shafer theory and prospect theory enhances decision-making under uncertainty. But at times, the...
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Multi-knowledge resources-based semantic similarity models with application for movie recommender system
In recent years, researchers have proposed several feature-based methods to measure semantic similarity using knowledge resources like Wikipedia and...
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Research on Construction Method of IoT Knowledge System Based on Knowledge Graph
This research aims to deconstruct and reconstruct professional knowledge in the field of the Internet of Things (IoT), and extract and organize it...
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Knowledge enhancement and scene understanding for knowledge-based visual question answering
Knowledge-based visual question answering calls for not only paying attention to the visual content of images but also the support of relevant...
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An Assembly Instruction Question Answering System Based on Knowledge Graph
Due to the widespread use of computers, assembly language is indispensable in operating computer software. Learning assembly language is particularly...
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KAD: a knowledge formalization-based anomaly detection approach for distributed systems
Large-scale distributed systems are becoming key engines of the IT industry due to their scalability and extensibility. A distributed system often...
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Research on Multimedia Distance Education Resource Management System Based on Knowledge Graph
With the rapid development of information technology, multimedia distance education plays an increasingly important role in modern education. In...
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Deep GraphSAGE-based recommendation system: jum** knowledge connections with ordinal aggregation network
Recommendation systems have become based on graph neural networks (GNN) as many fields, and this is due to the advantages that represent this kind of...
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Develo** knowledge-based system for the diagnosis and treatment of mango pests using data mining techniques
Detecting the pests of mango plants at an early stage requires an expert to identify the pests, describe the methods of treatment and protection....
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A Knowledge Graph-Based Decision Support System for Resilient Supply Chain Networks
Events in recent years such as the Russo-Ukrainian war of 2022 and the covid-19 pandemic have once again shown the importance of relying on resilient...
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Language Guided Gras** of Unknown Concepts Based on Knowledge System
Language guided gras** in cultter environment has become a hot topic for robotic arms, where the robot is supposed to grasp a specific object...
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Bi-knowledge views recommendation based on user-oriented contrastive learning
In recommender system, knowledge graph (KG) is usually leveraged as side information to enhance representation ability, and has been proven to...
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Knowledge-based approach to adaptive XR interface design for non-programmers
Customizing extended reality (XR) interfaces presents a significant challenge, especially for users with limited programming expertise. This paper...
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LIS: A Knowledge Graph-Based Line Information System
In a manufacturing enterprise, like Bosch, answering business questions regarding production lines, involves different stakeholders. Production...
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Deep learning model for recommendation system using web of things based knowledge graph mining
Recent developments in research have shown that knowledge graphs (KG) are successful in supplying useful external knowledge to enhance recommendation...
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RDFtex in-depth: knowledge exchange between LATEX-based research publications and Scientific Knowledge Graphs
For populating Scientific Knowledge Graphs (SciKGs), research publications pose a central information source. However, typical forms of research...
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Sok: vector OLE-based zero-knowledge protocols
A zero-knowledge proof is a cryptographic protocol where a prover can convince a verifier that a statement is true, without revealing any further...
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Accelerating Distributed Knowledge Graph System Based on Non-Volatile Memory
Deploying large scale knowledge graphs on distributed systems has become an industry trend for their high scalability and availability. There are...
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Multi-task recommendation based on dynamic knowledge graph
Introducing knowledge graphs into recommender systems effectively solves sparsity and cold start problems. However, existing KG recommendation...
