iKnow 2015 - 15th International Conference on Knowledge Technologies and Data-driven Business
What | Conference |
---|---|
When |
2015-10-21
to 2015-10-22 |
Where | Graz, Austria |
Contact Name | Stefanie Lindstaedt, Harald Sack, Tobias Ley (General Chairs) |
Contact Email | iknow@know-center.at |
Contact Phone | +43 316 873 30801 |
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Topics include:
Knowledge Discovery and Data Analytics- Big data in knowledge discovery
- Machine learning (e.g. unsupervised, supervised, semi-supervised…)
- Natural language analysis and information extraction
- Data and information retrieval
- Data and pattern mining
- Time series analysis and prediction (e.g. outlier/trend/… detection)
- Open information and relation extraction (e.g. knowledge base population, fact extraction)
- Enterprise information retrieval (e.g. cross-modal, interactive, roles & rights)
- Online methods (e.g. stream processing)
- Text mining (e.g. text summarisation, authorship identification …)
- Diversity & serendipity & privacy (e.g. in recommender systems)
- Deep learning approaches & application
- Text/web/social/user behaviour mining (e.g. sentiment analysis, intent mining)
- Data mining with taxonomies/ontologies/ linked open data
- Data and information quality
- Intelligent user interfaces for data analytics
- Human-computer interfaces for knowledge and information visualization
- Scalability of visual analytics and knowledge discovery techniques
- Interactive knowledge discovery
- Visual representations and metaphors
- Natural interaction techniques for visualization
- Visualization of knowledge, semantic information and linked data
- Visualization of search results, text and narratives
- Visualization of multimedia corpora
- Visualization of temporal and spatial information
- Visualization of large scale sensor data
- Visualization of structures and relationships
- Process and workflow visualization
- Visual support for reasoning and decision making
- Discourse and collaborative visualization
- Visual representations supporting knowledge transfer
- Cognitive and perceptual factors in visualization
- Evaluation and empirical studies of visualization interfaces
- Application reports and success stories
- Data structures, frameworks, and models underlying visualization
- Social media, social web, and social network analysis
- Web 2.0, future internet, and web science
- Collaborative knowledge creation and crowdsourcing
- Information quality and knowledge maturing
- Community evolution and user engagement
- Social information seeking and recommender systems
- Social search and retrieval systems
- Temporal and spatial analysis of social and information networks
- Social-semantic-content networks and their analysis
- Semantic uplifting in social networks
- Spam, misinformation and malicious activity discovery in social systems
- Social gaming and human computing
- Privacy & trust in social computing
- Ubiquitous (collaborative) work, learning, creativitiy
- Ubiquitous computing architectures and infrastructures
- Data management in ubiquitous computing systems
- Bridging the digital and physical worlds
- Ubiquitous sensors and sensor analyticsv
- Usage and usage data analytics
- User interaction and usability in ubicomp systems, especially in business and industry settings
- Augmented reality and augmentation interfaces
- Visual interfaces for collaboration
- User profiles and user models
- Context-awareness in ubicomp systems
- Adaptive systems, applications, interfaces and visualizations
- Evaluation and measurement approaches
- Security and privacy aspects of (mobile) sensing applications
- New publication and research processes and new paradigms for scientific communication
- Opportunities and challenges for researchers and research organizations
- Quality control in Science 2.0/ Open Science (e.g., metadata)
- New indicator systems to measure scientific quality (e.g., altmetrics)
- Epistemology and meaning of Science 2.0- and Open Science-related concepts
- Awareness-support for Science 2.0/ Open Science activities
- New feedback mechanisms among researchers and between science and society
- Empirical studies on the use of social media for Science 2.0/ Open Science as well as use cases
- Marketplaces for scientific data and publications
- Recommender systems in Science 2.0/ Open Science
- Virtual research environments and e-Infrastructures
- Digital research libraries and their role in Science 2.0/ Open Science
- Applications in and for Science 2.0/ Open Science
- Crowd-sourcing in science and citizen science
- Social mining and metadata extraction in academic resources
- Design and architecture of data sharing facilities
- Semantic web standards, data schemes and interoperability formats for Science 2.0/ Open Science
- Challenges in and reservations towards opening up scientific practices and using social media
- Legal dimensions in Science 2.0/ Open Science