This track focuses on the latest methodologies and frameworks in knowledge representation within social sciences and humanities. Contributions that explore the integration of ontologies and semantic web technologies are particularly encouraged.

This session will delve into the application of semantic web technologies in enhancing information retrieval and data interoperability. Papers that discuss real-world implementations and case studies are welcome.

This track invites discussions on the role of artificial intelligence in advancing social research methodologies. Submissions should highlight innovative AI applications that facilitate data analysis and interpretation.

This session aims to explore the principles and practices of knowledge engineering tailored for social science applications. Papers that address the challenges and solutions in developing knowledge-based systems are encouraged.

This track focuses on the utilization of data analytics techniques to uncover insights in humanities research. Contributions that demonstrate the impact of data-driven approaches on traditional humanities disciplines are sought.

This session will examine the transformative potential of machine learning techniques in the field of information science. Papers that showcase novel applications and theoretical advancements are particularly welcome.