This edition of Innovation Nation focuses on the people behind digital disruption at Capgemini. We've assembled a number of articles in this issue, starting with "Next generation Global Business Services" that looks at how the human-machine relationship can be optimized to exceed individual customer expectations. Divya Kumar and Christopher Stancombe explore this relationship further in their respective articles on incremental artificial intelligence (AI) implementation and robotic process automation (RPA). Our expert insights this month, collated across the breadth of the business, touch on aspects of digital disruption in Business Services and the people it affects.
In the last decade, in the Semantic Web field, knowledge bases have attracted tremendous interest from both academia and industry and many large knowledge bases are now available. In order to cope with this issue, the availability of automatic methods for schema aware generation and population of knowledge bases results fundamental. The primary goal of the special issue is to provide novel machine learning/data mining methods for knowledge base generation, population, enrichment, evolution showing advances in the Semantic Web field. Please indicate in the cover letter that it is for the Special Issue on Machine Learning for Knowledge Base Generation and Population.