I-Know 2017 - 17th International Conference on Knowledge Management and Knowledge Technologies

The I-Know 2017 - 17th International Conference on Knowledge Management and Knowledge Technologies is dedicated to various aspects of knowledge management, including:

• KNOWLEDGE MANAGEMENT
  • Mobile Work and Performance Support
  • Enterprise 2.0 and Corporate Web 2.0
  • Personal Information Management
  • Creativity and Knowledge Work
  • Open Innovation and Crowd Funding
  • Innovative Business Models
  • Knowledge Transfer and Experience Management
  • Innovation Process and Knowledge Maturing
  • Increasing Efficiency and Measurement Approaches
  • Process-oriented Knowledge Management
  • Skill and Competency Management
  • Convergence of Knowledge Management and Learning
  • Trust & Privacy Approaches
  • Service-oriented Architectures and Knowledge Infrastructures
• MOBILE COMPUTING
  • Bridging the Digital and Physical Worlds
  • Mobile and Ubiquitous Data Management and Processing
  • Usage and Usage Data Analytics
  • Sensors and Sensor Analytics
  • Mobile Work (requirements, characteristics, solutions…)
  • Mobile Social Networking and Mobile Web
  • Ubiquitous Computing Architectures and Infrastructures
  • Context-aware Systems and Applications
  • Security and Privacy Aspects of (mobile) Sensing Applications
  • User Interaction and Usability on Mobile Devices
• SOCIAL COMPUTING
  • Web 2.0, Future Internet, and Web Science
  • Social Media, Social Web, and Social Network Analysis
  • Information Quality and Knowledge Maturing
  • Collaborative Knowledge Creation and Crowdsourcing
  • Social Information Seeking and Recommender Systems
  • Community Evolution
  • Temporal and Spatial Analysis of Social and Information Networks
  • Social Search and Retrieval Systems
  • Semantic Uplifting in Social Networks
  • Social-Semantic-Content Networks and their Analysis
  • Social Gaming and Human Computing
  • Spam, Misinformation and Malicious Activity Discovery in Social Systems
  • Privacy & Trust
• SCIENCE 2.0
  • Opportunities and Challenges for Researchers and Research organizations
  • New Publication and Research Processes
  • Awareness-support for Science 2.0 Activities
  • New Indicator Systems to Measure Scientific Quality
  • New Feedback Mechanisms among Researchers and between Science and Society
  • New Paradigms for Scientific Communication
  • Marketplaces for Scientific Data and Publications
  • Empirical Studies on the Use of Web 2.0 Tools for Science 2.0
  • Virtual Research Environments
  • Recommender Systems in Science 2.0
  • Applications in and for Science 2.0
  • Digital Research Libraries
  • Robust Methods for dealing with Noisy Crowd-sourced Data
  • Crowd-sourcing in Science
  • Social Mining and Metadata Extraction in Academic Resources
  • Data Schemes and Interoperability Formats
  • Design and architecture of data sharing facilities
  • Metadata Quality and Quality Assessment
  • Systems design accounting for standardized data sets
  • Semantic Web Standards for Science 2.0
• KNOWLEDGE DISCOVERY & DATA MINING
  • Data Mining in the Linked Data Cloud
  • Big Data in Knowledge Discovery
  • Unsupervised Machine Learning
  • Text/Web/Social/User Behaviour Mining
  • Deep Machine Learning
  • Supervised and Semi-Supervised Learning
  • Temporal Knowledge Discovery
  • Enterprise Retrieval
  • Natural Language Analysis and Sentiment Detection
  • Data Structures, Frameworks, and Models underlying Knowledge and Data Mining
  • Data and Information Quality
  • Data and Information Retrieval (e.g. cross-language retrieval, interactive retrieval methods, multimedia and cross-modal information retrieval)
  • Knowledge Base Population and Information Extraction
• VISUAL ANALYTICS & INFORMATION VISUALISATION
  • Information Visualisation
  • Visual Analytics and Intelligent User Interfaces for Data Analytics
  • Interactive Knowledge Discovery
  • Scalability of Visual Analytics and Knowledge Discovery Techniques
  • Visualisation of Knowledge, Semantic Information and Linked Data
  • Visual Representations and Interaction Techniques
  • Visualisation of Temporal, Spatial and Sensory Data
  • Visualisation of Search Results, Text and Multimedia Corpora
  • Visual Support for Reasoning and Decision Making
  • Process and Workflow Visualisation
  • Cognitive and Perceptual Factors in Visualization
  • Discourse and Collaborative Visualisation

Who should Attend

Researchers and developers from various knowledge management disciplines.