The 5th International Conference on Knowledge and Information Management (ICKIM 2023)

The 5th International Conference on Knowledge and Information Management (ICKIM 2023) covers topics such as:

• Dynamic Knowledge Integration and Visualization
• Knowledge Management in General
• Knowledge resource - intellectual capital
• Enterprise 2.0 Knowledge Management Development
• Knowledge creation and sharing mechanismsKnowledge management strategies, resources and competencies
• Knowledge Management Paradigm
• Semantic Integration
• Security and privacy issues
• Data Mining (store/discover/propagate)
• Knowledge Management Processes
• Tools and Technology for Knowledge Management
• Technologies for Knowledge Sharing
• Knowledge management strategy
• Cognitive knowledge
• KM and AI/Intelligent systems
• KM and data analytics
• KM and learning technologies
• KM and machine learning
• KM and project management
• KM and risk management
• KM and quantum computing
• KM and cognitive computing
• Ethics and privacy issues of KM, big data and AI
• Pushing the KM frontier
• KM and related case studies
• Cultural and organisational issues of KM
• KM for Healthcare
• Knowledge visualization for knowledge management and business modelling
• Knowledge Representation and Reasoning
• KM for Smart cities
• Knowledge engineering and management
• Knowledge discovery in databases
• Ontology and knowledge representation
• Security and intrusion detection in KM
• Methodology and best practices to implement big data driven KM
• Tacit knowledge capture and dissemination
• Measurement and evaluation of KM effectiveness
• Application of knowledge representation techniques to semantic modelling
• Change management, KM in business transformation
• Knowledge Management in Practice
• KM in SME’s
• Case studies and best practices
• Innovative business models
• Innovation, Evaluation and Services
• Innovation Management in the Public Sector Through KM
• Innovation and Knowledge
• Innovative Processes and Models
• Re-thinking Knowledge Management
• Practical examples of services innovation
• Innovation in Education and Training
• KM Implementation Challenges and Opportunities
• Mobile Data Cmmunications
• Knowledge Measurement and Evaluation
• Knowledge Assets
• Dynamic Knowledge Integration and Visualization
• Knowledge Sharing
• Social computing and knowledge management
• Knowledge Creation through Crowdsourcing
• Management and Business Intelligence
• Service Science
• Web Services, Grid Services and Service-Oriented Computing
• Information security and knowledge protection
• Knowledge Evaluation
• Knowledge Representation
• Knowledge Quality Estimation and Uncertainty Handling
• KM Tools and Techniques
• Intelligent information systems
• The Role of Semantic Web in Software and Service Development
• Predictive analytics
• Modelling of service, industrial, and environmental processes
• Machine Learning for IR
• Semantic and Entity-Based Information Retrieval
• Big Data Computing for Knowledge Management
• Big Data and Cloud Computing
• Business models on Big Data applications
• Mobile Data Communications
• Web 2.0 and Data Mining
• Supply chain of big data and data productsReal-time data mining in mobile internet
• Semantic web data managementLarge-scale network data analysis
• Data and Knowledge Interoperability and Exchange
• Large incremental datasets on cloud
• Large data stream processing on cloud
• Security and privacy in Big Data
• Open source real-time computing system for data mining
• Web Mining
• Knowledge Acquisition and Discovery (AI, Data Mining, Text and
• Volume, velocity and variety of Big Data on cloud
• Theoretical development of Big Data
• Big data and innovation
• Cloud computing, peer-to-peer, parallel and distributed databases
• Use Cases and Applications in Knowledge and Big Data analytics
• Data and Knowledge Modelling
• Data warehousing and business intelligence
• Data mining theory, methods, and applications
• Big data analytics
• Big Data theory
• Big Data processing tools
• Big Data applications
• Big Data management
• Big Data visualization
• KM and Data Security
• Big data and smart city
• Big data for knowledge management
• Case studies of big data mining applications for providing online customer support
• Big data and knowledge extraction
• Capture of big data for knowledge management
• Big data and knowledge sharing
• New algorithmic approaches to Big Data
• Big data on cloud
• Privacy Preserving Big Data Collection / Analytics
• KM in the Cloud
• Big Data Computing for Knowledge Management
• Internet of Things
• Privacy preserving on cloud
• Knowledge representation models in the Internet of Things
• Formal verification and model-checking for Internet of Things applications
• Management information systems of the Internet of Things
• Business information processing and business models in the Internet of Things
• Integration of heterogeneous information for the Internet of Things
• Knowledge retrieving and sharing mechanisms in the Internet of Things
• Service oriented computing in the Internet of Things
• Reasoning algorithms for the knowledge systems in the Internet of Things
• Enterprise knowledge management in the Internet of Things
• Mobile tacking services in the Internet of Things
• Privacy protection and security issues of the Internet of Things
• Service oriented computing in the Internet of Things
• Knowledge representation models in the Internet of Things
• Intelligent applications of the Internet of Things
• Software engineering in the Internet of Things
• Governance, Ethics and Trust in IoT and Big Data in KM
• Data Mining in the Internet of Things
• Technologies of data management and integration in the Internet of Things
• Internet of Things
• Interoperability including Semantic interoperability in the
• Development methodologies for IoT-based applications
• Business models for the Internet of Things
• Testing, debugging, validation, and QoS modelling of Internet of Things applications
• IoT for healthOrganisational semiotics
• Blockchain Technology and Applications
• Context Awareness in the Internet of Things
• Social networks analysis
• Social and Organisational Aspects
• Knowledge Management and supply chains
• Algorithms for developing user profiles
• KM in Education
• Benefits and Challenges in Adopting KM in the Public Sector
• KM and Sustainable Competitive Advantage
• The role of KM in Tourism
• KM, HR and Organisational Culture
• Social Networks Analysis
• KM and Organisational Structures
• Social Networks Extraction and Construction
• Transferring Critical Knowledge to Maintain Competitiveness
• Knowledge Management and Knowledge Networks
• Competitive and Business Intelligence
• Requirements Engineering
• Social media analytics
• Social Media and Social Network Technologies
• Knowledge management in innovative applications, such as healthcare information and network
• Business forecasting
• Organisational Memory
• Knowledge Creation
• Customer Knowledge in Innovation
• Big Data sharing Knowledge Analytics Framework and Architecture
• Managing Knowledge for Global and Collaborative Innovations
• Customer Knowledge Management
• Knowledge Management for Social Change and Innovation
• Co-production of Knowledge
• Business Process Management
• Intellectual capital
• E-government
• The Impacts of Knowledge Management in the Organisation
• Innovation Management
• Intelligent and Multi-agent Control Systems
• Future centres
• Design of innovation spaces
• Challenges in knowledge and creative economics
• Smart cities
• Future universities
• Open innovation
• Crowd sourcing
• Societal innovation
• Taxonomies and Ontologies
• Knowledge innovation systems
• Best practices and communities of practice
• Legal and social aspects of knowledge and idea protection and diffusion