International Conference on Knowledge Representation and Information Science

ICKRIS

3rd Nov – 4th Nov 2026 Los Angeles, USA

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Registration Summary

Conference ICKRIS

Date 3rd Nov – 4th Nov 2026

Location Los Angeles, USA

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

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Conference Session Tracks

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

01 Advancements in Knowledge Representation +

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.

SDG 4 SDG 9

02 Semantic Web Technologies in Information Science +

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.

SDG 9 SDG 16

03 Artificial Intelligence in Social Research +

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.

SDG 4 SDG 10

04 Knowledge Engineering for Social Sciences +

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.

SDG 4 SDG 16

05 Data Analytics in Humanities Research +

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.

SDG 4 SDG 9

06 Machine Learning Applications in Information Science +

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.

SDG 9 SDG 16

07 Data Mining Techniques for Social Insights +

This track invites papers that explore data mining techniques aimed at extracting meaningful patterns and insights from social data. Contributions should emphasize methodological innovations and their implications for social science research.

SDG 4 SDG 10

08 Ontology Development for Information Systems +

This session will focus on the development and application of ontologies in enhancing information systems. Papers that address the challenges of ontology design and implementation in various domains are encouraged.

SDG 9 SDG 16

09 Interdisciplinary Approaches to Knowledge Representation +

This track seeks to foster interdisciplinary dialogue on knowledge representation across various fields within social sciences and humanities. Contributions that bridge gaps between disciplines through innovative representation techniques are welcome.

SDG 4 SDG 17

10 Ethical Considerations in AI and Data Science +

This session will address the ethical implications of using AI and data science in social research. Papers that explore frameworks for responsible research practices and ethical data usage are highly encouraged.

SDG 10 SDG 16

11 Future Directions in Information Science +

This track aims to discuss emerging trends and future directions in information science as they relate to social sciences and humanities. Contributions that propose new research agendas or highlight potential challenges are particularly welcome.

SDG 4 SDG 9