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International Conference on Knowledge Engineering using Artificial Intelligence

📅 27–28 Apr 2027 📍 Sofia, Bulgaria 👤 Standard / Listener

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$165

virtual · $165 in person

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Official invitation letterIssued automatically after registration

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Certificate & digital materialsCertificate, slides and resource materials

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Supporting global researchConnect with researchers across 30+ countries

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Conference session tracks

Key research areas covered across the sessions — tap a track to read more.

This track focuses on the latest frameworks and methodologies in knowledge engineering that leverage artificial intelligence. Participants will explore innovative approaches to enhance knowledge representation and system optimization.

This session will delve into the application of machine learning techniques within intelligent systems. Researchers are invited to present their findings on how these applications can improve decision-making processes.

This track examines the role of predictive analytics in enhancing AI-driven systems. Discussions will center on methodologies that improve forecasting accuracy and operational efficiency.

Focusing on data analytics, this session will highlight techniques that facilitate knowledge discovery from large datasets. Participants will share insights on how data-driven strategies can inform knowledge engineering.

This track explores the integration of automation technologies with intelligent systems. Presenters will discuss the implications of such integrations for enhancing operational workflows.

This session will investigate the application of deep learning techniques in the field of knowledge engineering. Researchers will present case studies showcasing the effectiveness of deep learning in various AI applications.

This track focuses on the development of semantic systems that improve knowledge representation. Participants will explore how semantics can enhance interoperability and knowledge sharing.

This session will address innovative strategies for developing AI-driven knowledge systems. Discussions will include best practices and case studies that demonstrate successful implementations.

This track examines optimization techniques that enhance the performance of AI applications. Researchers will present methodologies that improve efficiency and effectiveness in various domains.

This session will explore the ethical implications of using artificial intelligence in knowledge engineering. Participants will discuss frameworks for ensuring responsible AI deployment.

This track will investigate emerging trends and future directions in the intersection of AI and knowledge engineering. Researchers are encouraged to share their visions for the evolution of these fields.