IC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. Val. 3.

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IC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management

Vol. 3. SciTePress, 2019.

Under the general editorship: J. Bernardino, A. Salgado, J. Filipe

The 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) was sponsored by the Institute for Systems and Technologies of Information, Control and Communication (INSTICC) and held in Vienna, Austria, co-organized by Technische Universität Wien. IC3K was organized in cooperation with the ACM Special Interest Group on Artificial Intelligence, Associazione Italiana per l'Intelligenza Artificiale, Portuguese Association for Artificial Intelligence, The European Research Consortium for Informatics and Mathematics and the Associação Portuguesa de Reconhecimento de Padrões (APRP). The main objective of IC3K is to provide a point of contact for scientists, engineers and practitioners interested in the areas of Knowledge Discovery, Knowledge Engineering and Knowledge

Digitalization: A meeting point of knowledge management and enterprise engineering

Babkin E., Poletaeva T., Ulitin B., , in: IC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge ManagementVol. 3.: SciTePress, 2019. P. 22–36.

Digital transformation of organizations became a significant research and engineering challenge worldwide. In many cases digitalization requires extraction of tacit individual, interpersonal or organizational knowledge to explicit machine-readable forms and their conscious application during enterprise reengineering. Successful accomplishment of these tasks vitally relies on a rigorous scientific theory and formal methods. This work presents a ...

Added: January 15, 2020

Priority areas: IT and mathematics business informatics

Language: English

Keywords: knowledge management knowledge discovery knowledge engineering

IC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management

A Three-Party W-State Quantum Secret Sharing Protocol with X-Gate Encoding and Forbidden-Outcome Detection

Teregulov T., Loubenets E. R., / Series Quantum Physics "arXiv". 2026. No. 2609.31472.

We develop a new three-party quantum secret-sharing (QSS) protocol based on a three-qubit W state. This protocol encodes the secret-sequence bits using X gates and employs randomly selected Hadamard operations and measurement bases to generate information and security-test rounds. We evaluate the efficiency of the proposed protocol and analyze its security against an internal adversary ...

Added: September 28, 2026

AI convergence in immersive digital environment: a knowledge management perspective on organizational sustainability and digital resilience

Almugren I., Chotia V., Habib M. D. et al., Journal of Knowledge Management 2026 P. 1–22

Purpose The convergence of artificial intelligence (AI) and immersive digital environments has positioned these systems as a potential knowledge infrastructure. However, prior research largely assumes that immersive experience and intelligent systems naturally translate into effective knowledge use and strategic outcomes. This study aims to examine how experiential, perceptual and strategic factors shape the cognitive internalization and ...

Added: September 25, 2026

On calibration of remote sensing retrievals of ecosystem respiration (Reco) with tower measurements over,Russian forests and wetlands

Shabanov N., Kuricheva O., Kurbatova J. et al., / Series Working Papers SSRN "Department of Economics Ca’ Foscari University of Venice". 2026.

The carbon balance of an ecosystem is the difference between Gross Primary Productivity (GPP) and Ecosystem Respiration (Reco) as expressed by Net Ecosystem Exchange (NEE). While remote sensing retrievals of GPP have reached maturity, Reco estimation remains underexplored and ultimately cast bias on NEE. Here we present an end-to-end multi-scale analysis of the mechanism of ...

Added: August 21, 2026

Three Algorithms for Merging Hierarchical Navigable Small World Graphs

Ponomarenko A., / Series Computer Science "arxiv.org". 2025.

This paper addresses the challenge of merging hierarchical navigable small world (HNSW) graphs, a critical operation for distributed systems, incremental indexing, and database compaction. We propose three algorithms for this task: Naive Graph Merge (NGM), Intra Graph Traversal Merge (IGTM), and Cross Graph Traversal Merge (CGTM). These algorithms differ in their approach to vertex selection ...

Added: July 30, 2026

Growth in noncommutative algebras and entropy in derived categories

Piontkovski D., / Series arXiv "math". 2026.

A noncommutative projective variety is defined, following Artin and Zhang, by a graded coherent algebra 𝐴. The category of coherent sheaves is then the quotient qgr(𝐴) of the category of finitely presented graded modules by the subcategory of torsion modules. We consider the categorical and polynomial entropies of the Serre twist, that is, of the ...

Added: June 23, 2026

Multilinear nilalgebras and the Jacobian theorem

Piontkovski D., / Series arXiv "math". 2025.

If a symmetric multilinear algebra is weakly nil, then it is Engel. This result may be regarded as an infinite-dimensional analogue of the well-known Jacobian theorem, which states that if a polynomial mapping has a polynomial inverse, then its Jacobian matrix is invertible. This refines a theorem of Gerstenhaber and partially answers a question posed ...

Added: June 23, 2026

ML-based Fast Simulation of FARICH Responses

Shipilov F., Barnyakov A., Ivanov A. et al., / Series Physics "arxiv.org". 2026.

A fast simulation of the detector response is a vital task in high-energy physics (HEP). Traditional Monte-Carlo methods form the backbone of modern particle physics simulation software but are computationally expensive. We present a machine-learning-based approach to fast simulation of the Focusing Aerogel Ring Imaging Cherenkov (FARICH) detector response. Given a particle track and momentum, ...

Added: May 19, 2026

Среда Онтологически Контролируемых Вычислительных Экспериментов в Химии и Материаловедении

Glushko A., Neznanov A., В кн.: Перспективные материалы и технологии (ПМТ-2024) : Сборник докладов Международной научно-технической конференции ИПТИП РТУ МИРЭА, Москва, 12–16 апреля 2024 годаТ. 1.: М.: РТУ МИРЭА, 2024. С. 380–385.

In this paper we would like to discuss the basic principles, design decisions and tools that formed the basis of a software system for analyzing the results of real experiments and performing computational experiments in chemistry and materials science. With this work we aim to formalize knowledge at multiple levels and improving the efficiency of ...

Added: April 29, 2026

Natural hazard database from Internet publications: text mining with a large language model

Derkacheva A., Sakirkina M., Kraev G. et al., /. 2026.

Comprehensive data on natural hazards and their consequences are crucial for effective for risk assessment, adaptation planning, and emergency response. However, many countries face challenges with fragmented, inconsistent, and inaccessible data, particularly regarding local-scale events. To address this data gap in Russia, we developed an end-to-end processing pipeline that scrapes news from various online sources, ...

Added: April 28, 2026

Algorithmic overlaps as thermodynamic variables: from local to cluster Monte Carlo dynamics in critical phenomena

Pilé I., Deng Y., Shchur L., / Series arXiv "math". 2026. No. 2604.10254.

We investigate the spatial overlap of successive spin configurations in Markov chain Monte Carlo simulations using the local Metropolis algorithm and the Svendsen-Wang and Wolff cluster algorithms. We examine the dynamics of these algorithms for two models in different universality classes: the Ising model and the Potts model with three components. The overlap of two ...

Added: April 20, 2026

Using predefined vector systems to speed up neural network multimillion class classification

Gabdullin N., Androsov I., / Series Computer Science "arxiv.org". 2026.

Label prediction in neural networks (NNs) has O(n) complexity proportional to the number of classes. This holds true for classification using fully connected layers and cosine similarity with some set of class prototypes. In this paper we show that if NN latent space (LS) geometry is known and possesses specific properties, label prediction complexity can ...

Added: April 2, 2026

Artificial intelligence and tacit knowledge in radio content production

Trio O., Caboni F., Cavallo F. et al., Journal of Knowledge Management 2026 Vol. 30 No. 4 P. 1282–1302

Purpose This study explores how artificial intelligence (AI) is transforming tacit knowledge practices and shared leadership in radio broadcasting – a sector characterized by creativity, spontaneity and strong audience engagement. The aim is to assess whether AI can complement or replicate the human dimensions of knowledge sharing in cultural and media organizations. Design/methodology/approach Grounded in Media Richness Theory ...

Added: March 11, 2026

Special Issue Sensing Technology for Smart Cities: Data, Analytics, and Visualizations

[б.и.], 2024.

Nowadays a huge portion of population lives in urban areas, and projections indicate that most cities are going to be confronted with a growing urban population in the next few years. This undoubtably poses new challenges that must be addressed by city councils and stakeholders to guarantee citizens’ high quality of life. Mobility, pollution, climate ...

Added: February 15, 2026

Innovation via Collaborative Learning in Engineering Education: Proceedings of the 28th International Conference on Interactive Collaborative Learning (ICL2025), Volume 3

Springer, 2026.

Presents recent research on Collaborative Learning in Engineering Education Collects the proceedings of the 28th International Conference on Interactive Collaborative Learning Written by experts in the field ...

Added: February 13, 2026

Conceptual Knowledge Structures First International Joint Conference, CONCEPTS 2024, Cádiz, Spain, September 9–13, 2024, Proceedings

Obiedkov S., Switzerland: Springer, 2024.

This book constitutes the proceedings of the First International Joint Conference on Conceptual Knowledge Structures, CONCEPTS 2024, which took place in Cádiz, Spain, during September 9-13, 2024. The conference is an amalgamation of the 18th International Conference on Formal Concept Analysis (ICFCA); the 17th International Conference on Concept Lattices and Their Applications (CLA); and the 28th ...

Added: January 23, 2026

Iterative Ricci-Foster Curvature Flow with GMM-Based Edge Pruning: A Novel Approach to Community Detection

Sorokin K., Beketov M., Онучин А. et al., / arxiv.org. Серия cs.SI "Social and Information Networks ". 2025.

Community detection in complex networks is a fundamental problem, open to new approaches in various scientific settings. We introduce a novel community detection method, based on Ricci flow on graphs. Our technique iteratively updates edge weights (their metric lengths) according to their (combinatorial) Foster version of Ricci curvature computed from effective resistance distance between the ...

Added: January 15, 2026

Implementing Transport Coding in OMNeT++ for Message Delay Reduction

Petrovanov I., Sergeev A., / Series Computer Science "arxiv.org". 2025. No. 2512.18332.

Transport coding reduces message delay in packet-switched networks by introducing controlled redundancy at the transport layer: original packets are encoded into coded packets, and the message is reconstructed after the first successful deliveries, effectively shifting latency from the maximum packet delay to the -th order statistic. We present a concise, reproducible discrete-event implementation of transport coding in OMNeT++, including ...

Added: December 24, 2025

Hessian-based lightweight neural network for brain vessel segmentation on a minimal training dataset

Меньшиков И. А., Бернадотт А. К., Elvimov N. S., / Series arXie "Statistical mechanics". 2025.

Accurate segmentation of blood vessels in brain magnetic resonance angiography (MRA) is essential for successful surgical procedures, such as aneurysm repair or bypass surgery. Currently, annotation is primarily performed through manual segmentation or classical methods, such as the Frangi filter, which often lack sufficient accuracy. Neural networks have emerged as powerful tools for medical image ...

Added: December 1, 2025

HARNESSING KNOWLEDGE FOR IMPACT: THE ROLE OF KNOWLEDGE MANAGEMENT IN SOCIAL ENTREPRENEURSHIP

Khazieva N., Gaete Sepulveda M. A., Khalid H., , in: Bridging Horizons: Social Entrepreneurship in Malaysia and Russia.: Kuala Lumpur: UTM Press, 2025. Ch. 2 P. 15–32.

Social entrepreneurship is increasingly recognized as a transformative approach to addressing societal, environmental, and economic challenges through innovative business practices. Central to social entrepreneurship is the integration of commercial strategies with explicit social missions aimed at enhancing community welfare, mitigating environmental degradation, and promoting sustainable development (Mair & Martí, 2006). Social enterprises uniquely balance profitability ...

Added: September 2, 2025

Bridging Horizons: Social Entrepreneurship in Malaysia and Russia

Gaete Sepulveda M. A., Kuala Lumpur: UTM Press, 2025.

Recognising the transformative power of social entrepreneurship, the Laboratory for Reputation Management in Education (RepLab) at HSE University Saint Petersburg and the ACT Lab at Azman Hashim International Business School (AHIBS), Universiti Teknologi Malaysia (UTM), jointly established the Satellite Laboratory for Social Entrepreneurship in 2023. This collaborative initiative aims to explore and analyse the dynamics ...

Added: August 4, 2025

Crisis management: a post-pandemic framework proposition and lessons learned at Hyundai Motor Brazil

Oliva F. L., Bution J. L., Torresani Paza A. C. et al., European Journal of Innovation Management 2025 Vol. 28 No. 5 P. 1858–1889

Purpose This study relies on the lessons learned from the recent pandemic crisis to propose a conceptual framework for organizational crisis management and illustrate its application in an organization that effectively protected its competitive position during the crisis. Design/methodology/approach Building upon the resource-based view and the dynamic capability theoretical framework, we first conducted a systematic literature review that ...

Added: May 28, 2025

Futureproofing Engineering Education for Global Responsibility: Proceedings of the 27th International Conference on Interactive Collaborative Learning (ICL2024), Volume 4

Springer, 2025.

Added: March 31, 2025

Управление знаниями организации и большие языковые модели

Zelenkov Y., Российский журнал менеджмента 2024 Т. 22 № 3 С. 573–601

Purpose: to summarize, classify and analyze current scientific publications on the use of large language models (LLM) in knowledge management in organization. Methodology: systematic literature review was conducted. It was based on the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework. 75 publications were selected for analysis, including academic articles and reports of consulting companies published ...

Added: January 4, 2025

Loan Portfolio Dataset From MakerDAO Blockchain Project

Chaleenutthawut Y., Davydov V., Evdokimov M. et al., IEEE Access 2024 Vol. 12 P. 24843–24854

Decentralized finance (DeFi) offers a range of financial instruments and services that leverage the capabilities of web3 technology. Maker protocol, which enables users to obtain loans backed by cryptocurrencies, is one of them. Unlike traditional banks, Maker’s data is transparently recorded on the Ethereum blockchain. In this research paper, we focus on analyzing the lending ...

Added: September 4, 2024