- Topics of interest: knowledge based systems; knowledge engineering; machine learning; data mining and knowledge discovery in databases; practical knowledge management
knowledge engineering
International Symposium on Knowledge Acquisition and Modeling (KAM)**
The International Symposium on Knowledge Acquisition and Modeling (KAM) is concerned with the aspects of Intelligent Information Processing, acquiring, modeling, managing and exploiting knowledge, and the role of these aspects in the construction of knowledge-intensive systems and Intelligent Information services. It provides a chance for academic and industry professionals to discuss recent progress in the
Knowledge Scientists
Abstract: Organizations across all sectors are increasingly undergoing deep transformation and restructuring towards data-driven operations. The central role of data highlights the need for reliable and clean data. Unreliable, erroneous, and incomplete data lead to critical bottlenecks in processing pipelines and, ultimately, service failures, which are disastrous for the competitive performance of the organization.
German Conference on Artificial Intelligence (KI)*
- Topics of Interest (TBC): Information retrieval, integration, and extraction; Knowledge engineering and ontologies; Knowledge representation and reasoning; Knowledge discovery and data mining; Machine learning