14th International Conference on Knowledge Technologies and Data-driven Business

Topics include (but are not limited to): Knowledge Discovery & Data Mining Big data in knowledge discovery Data mining in the linked data cloud Text/web/social/user behaviour mining Unsupervised, supervised and semi-supervised machine learning Deep machine learning Enterprise retrieval Online machine learning Natural language analysis and sentiment detection Data and information retrieval (e.g. cross-language retrieval, interactive retrieval methods, multimedia and cross-modal information retrieval) Data and information quality Knowledge base population and information extraction Content-based recommender systems Intent Mining & Understanding Visual Analytics & Information Visualization Visual analytics and intelligent user interfaces for data analytics 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 multimedia corpora Visualization of temporal, spatial and sensory data Process and workflow visualization Visual support for reasoning and decision making Discourse and collaborative visualization Cognitive and perceptual factors in visualization Social Computing 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 Context-aware Computing Ubiquitous information access Ubiquitous (collaborative) work, learning, creativitiy, etc. Mobile and ubiquitous data management and processing Bridging the digital and physical worlds Mobile sensors and sensor analytics Usage and usage data analytics Mobile social networking and mobile web Ubiquitous computing architectures and infrastructures User interaction and usability on mobile devices Augmented reality and augmentation interfaces Mobile visual interfaces for collaboration support User profiles and user models Context-aware recommenders Adaptive systems, applications, interfaces and visualizations Evaluation and measurement approaches Security and privacy aspects of (mobile) sensing applications Science 2.0 & Open Science New publication and research processes Opportunities and challenges for researchers and research organizations New indicator systems to measure scientific quality Awareness-support for science 2.0 activities New paradigms for scientific communication New feedback mechanisms among researchers and between science and society Empirical studies on the use of web 2.0 tools for science 2.0 Marketplaces for scientific data and publications Recommender systems in science 2.0 Virtual research environments Digital research libraries Applications in and for science 2.0 Crowd-sourcing in science Robust methods for dealing with noisy crowd-sourced data Data schemes and interoperability formats Social mining and metadata extraction in academic resources Metadata quality and quality assessment Design and architecture of data sharing facilities Semantic web standards for science 2.0 Systems design accounting for standardized data sets