KDWeb 2016 is aimed at providing a venue to researchers, scientists, students, and practitioners involved in the fields of Knowledge Discovery on Data Mining, Information Retrieval, and Semantic Web, for presenting and discussing novel and emerging ideas. KDWeb will contribute to discuss and compare suitable novel solutions based on intelligent techniques and applied in real-world applications.
Topics
- Big Data
- Data Mining
- Deep Learning
- Feature Selection and Extraction
- Hierarchical Categorization
- Information Filtering and Retrieval
- Linked Data
- Machine Learning
- Open Data
- Recommender Systems
- Semantic Web
- Semantics and Ontology Engineering
- Social Media
- Taxonomy Building, Assessment, and Optimization
- Text Categorization
- Text Mining
- Web Information Filtering and Retrieval
- Web Mining
- Web of Data
- Web Personalization and Recommendation
Submissions
Important Dates
Committees
- Co-Organizers
- General Co-Chairs
- Giuliano Armano, University of Cagliari, Italy
- Alessandro Bozzon, Delft University of Technology, Netherlands
- PC Co-Chairs
- Matteo Cristani, University of Verona, Italy
