International Journal of Conversational Data and Knowledge Engineering (CDKE)

 

"Traditional" data engineering considers the storage, retrieval, manipulation, and management of structured, semi-structured, and unstructured data; and "traditional" knowledge engineering addresses the derivation and management of knowledge from the data. Conversational Data & Knowledge Engineering (CDKE) on one hand extends data engineering and knowledge engineering to address visual and verbal conversations with (possibly deep) context. On the other hand it supports a visual and/or verbal conversational interface for complex problem solving.

​TOPICS OF INTEREST​​ include, but are not limited to:​

  • Data engineering and knowledge engineering aspects of conversations

  • Conversational interface of database and knowledge base

  • Complex queries

  • Context modelling

  • Conversational query processing and optimization

  • Conversational data summary and visualization

  • Conversational OLAP and data science

  • Conversational problem solving

  • Systems and platforms

  • Performance evaluation

  • Security and privacy

  • Applications