MODELING OF LABOR POTENTIAL OF UKRAINE: FORMATION OF KNOWLEDGE BASE
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2022 The adaptation of the Ukrainian economy to the requirements of the European Union requires increasing the effectiveness of the system of making public management decisions regarding the development and assessment of the labor potential of our country ...
Ivan V. Zayukov +3 more
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FlyBase: updates to the Drosophila melanogaster knowledge base
Nucleic Acids Res., 2020 FlyBase (flybase.org) is an essential online database for researchers using Drosophila melanogaster as a model organism, facilitating access to a diverse array of information that includes genetic, molecular, genomic and reagent resources.
Aoife Larkin +44 more
semanticscholar +1 more source
Modeling Knowledge Assessment Systems within a Hybrid Intelligent Learning Environment
Современные информационные технологии и IT-образование, 2021 An approach to the intellectual assessment of students' knowledge within the framework of a hybrid intelligent learning environment (HILE) based on the construction and training of neural networks is considered.
Alexey Petrov +2 more
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Knowledge base cloud – a new approach to knowledge management systems architecture
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2012 This article aims at identifying the limitations of current approaches to knowledge management systems architecture creation and proposing innovative solutions on handling with the emerging issues of the existing methodologies.
Andrej Miklošík, Eva Hvizdová
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Proper Names and Named Entities Recognition in the Automatic Text Processing. Review of the book: Nouvel, D., Ehrmann, M., & Rosset, S. (2016). Named Entities for Computational Linguistics. London; Hoboken: ISTE Ltd; John Wiley & Sons, Inc., 2016. [PDF]
Вопросы ономастики, 2018 The reviewed book by Damien Nouvel, Maud Ehrmann, and Sophie Rosset Named Entities for Computational Linguistics deals with automatic processing of texts, written in a natural language, and with named entities recognition, aimed at extracting most ...
Daria M. Golikova
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Maximizing the knowledge base: Knowledge Base+ and the Global Open Knowledgebase
Insights: The UKSG Journal, 2013 The motivation for the two projects discussed in this article is the simple premise that the current inaccuracies of data in the library supply chain are detrimental to the user experience, limit the ability of institutions to effectively manage their ...
Liam Earney
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Ontology-Based Knowledge Acquisition Method for Natural Language Texts
Цифровая трансформация, 2023 The main task of knowledge acquisition (also named knowledge extraction) from natural language texts is to extract knowledge from natural language texts into fragment of knowledge base of intelligent system.
Longwei Qian
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A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network [PDF]
North American Chapter of the Association for Computational Linguistics, 2017 In this paper, we propose a novel embedding model, named ConvKB, for knowledge base completion. Our model ConvKB advances state-of-the-art models by employing a convolutional neural network, so that it can capture global relationships and transitional ...
D. Q. Nguyen +3 more
semanticscholar +1 more source
Virtual patients as the basis for problem-based learning of cardiologists
Бюллетень сибирской медицины, 2021 Implementation of virtual patients allows avoiding risks for patient safety, using the standardized clinical situations repeatedly, and providing remote access to information. In order to create virtual patients, the project team comprised of specialists
S. I. Karas +14 more
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YAGO 4: A Reason-able Knowledge Base
Extended Semantic Web Conference, 2020 YAGO is one of the large knowledge bases in the Linked Open Data cloud. In this resource paper, we present its latest version, YAGO 4, which reconciles the rigorous typing and constraints of schema.org with the rich instance data of Wikidata.
Thomas Pellissier Tanon +2 more
semanticscholar +1 more source