This track focuses on the latest developments in semantic web technologies and their applications in social sciences and humanities. Participants will explore how these technologies enhance data interoperability and knowledge sharing.

This session examines the role of ontologies in structuring knowledge within social science research. It aims to highlight best practices for ontology development and their impact on data analysis.

This track addresses the principles and techniques of knowledge engineering tailored for social impact projects. Discussions will include case studies demonstrating the effectiveness of knowledge systems in addressing societal challenges.

This session explores the application of data analytics methodologies in humanities research. Participants will share insights on how analytics can uncover patterns and trends in cultural and historical data.

This track delves into advanced information retrieval techniques and their relevance to social science inquiries. It will cover algorithms and tools that facilitate efficient data extraction from diverse sources.

This session addresses the challenges posed by big data in social science research. Topics will include data management, ethical considerations, and the implications of large-scale data analysis.