20th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2016

This volume contains the proceedings of the 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2016), held in Bologna, Italy, November 19–23, 2016. This edition of the conference was specifically concerned with the impact of space and time on knowledge representation, and what we chose to call “evolving knowledge.” Knowledge engineering has classically been about creating static, universal representations. Yet the world is rarely static: Everything changes, including the models, and real-world systems need to evolve along with the surrounding world. Also, what makes some representations valid in some contexts may make them invalid elsewhere (e.g., jurisdiction for laws). This special focus concerns all aspects of the management and acquisition of knowledge representations of evolving, contextual, and local models. This includes change management, trend detection, model evolution, streaming data and stream reasoning, event processing, time- and space-dependent models, contextual and local knowledge representations, etc. We also wanted to put a special emphasis on the evolvability and localization of knowledge and the correct usage of these limits. In addition to this specific focus, EKAW as usual covered all aspects of eliciting, acquiring, modeling, and managing knowledge, the construction of knowledge-intensive systems and services for the Semantic Web, knowledge management, e-business, natural language processing, intelligent information integration, personal digital assistance systems, and a variety of other related topics. For the main conference we invited submissions for research papers that present novel methods, techniques, or analysis with appropriate empirical or other types of evaluation, as well as in-use papers describing novel applications of knowledge management and engineering in real environments and experience reports. We also invited submissions of position papers describing novel and innovative ideas, or problem analyses, that are still in an early stage but may guide future research in the area