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.

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

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• 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