Coenen / Fred / Aveiro | Knowledge Discovery, Knowledge Engineering and Knowledge Management | Buch | 978-3-031-87568-7 | sack.de

Buch, Englisch, 374 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 593 g

Reihe: Communications in Computer and Information Science

Coenen / Fred / Aveiro

Knowledge Discovery, Knowledge Engineering and Knowledge Management

15th International Joint Conference, IC3K 2023, Rome, Italy, November 13-15, 2023, Revised Selected Papers
Erscheinungsjahr 2025
ISBN: 978-3-031-87568-7
Verlag: Springer Nature Switzerland

15th International Joint Conference, IC3K 2023, Rome, Italy, November 13-15, 2023, Revised Selected Papers

Buch, Englisch, 374 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 593 g

Reihe: Communications in Computer and Information Science

ISBN: 978-3-031-87568-7
Verlag: Springer Nature Switzerland


This book constitutes the refereed proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2023, held in Rome, Italy, during November 13-15, 2023.

The 9 full papers and 8 short papers included in this book were carefully reviewed and selected from 166 submissions. They were organized in topical sections as follows: knowledge discovery and information retrieval; knowledge engineering and ontology development; knowledge management and information systems.

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Zielgruppe


Research

Weitere Infos & Material


.- Knowledge Discovery and Information Retrieval.

.- Closeness Centrality: Definition, and Its Computation for Homogeneous Multilayer Networks.

.- Automatic Categorization of Software Repository Domains with Minimal Resources.

.- Personalized Book Recommendations for Adults Using Deep Learning and Sophisticated Filtering Approaches.

.- Dimensionality reduction of environmental data to predict species distribution.

.- Is There an Optimal Depth of Residual Networks?.

.- Modeling Interdependencies and Cascading Effects of Disasters on Critical Infrastructures.

.- Knowledge Engineering and Ontology Development.

.- Mechanical Fault Prediction Based on Event Knowledge Graph and Deep Learning.

.- BioSTransformers for Health Ontologies Merging.

.- Methodology For Real Estate Recommendation Based on Customer Behavior Knowledge as Context Approach.

.- UpKG: A Framework for Integrating and Evaluating Novel Domains into Knowledge Graphs.

.- An Approach Based on the Multifaceted Ontology to Development of Event Series Processing Tools.

.- A Study of the Perceived Quality and Functionality of DEMO Process and Fact Models in the Health Domain and Improvements on Its Action Model.

.- Knowledge Management and Information Systems.

.- Revolutionary Synergy: The Fusion of Data Mesh and Data Fabric for Strategy Analytics in GRAPHYP Knowledge Graph.

.- An Innovative Framework for Threshold Exceedance Forecasting in Timeseries Using Survival Analysis.

.- Promoting Sustained Use of Assistive Technology Among the Elderly: A User Experience and Causal Attribution Theory Perspective on Caregiver Utterances.

.- Knowledge Management in Financial Software Support Team: A Prototype Based on Ontology.

.- A Conceptual Model for Mapping Organizational Knowledge Ecosystem.



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