The International Conference on Knowledge Representation and Information Science (ICKRIS - 27) features a diverse range of session tracks designed to cover key research areas, emerging trends and interdisciplinary innovations within the field of Information Science.
These sessions provide a platform for researchers, academicians, industry professionals and practitioners to present their work, exchange ideas and explore the advancements shaping the future of the domain.
Each track is carefully curated to encourage knowledge sharing, collaboration and meaningful discussion, and is aligned with the United Nations Sustainable Development Goals.
Submit Your AbstractInternational Conference on Knowledge Representation and Information Science (ICKRIS - 27) 设有多个分会主题,涵盖重要研究领域、前沿趋势与跨学科创新成果。
各分会主题为研究人员、学者、行业专家及实务工作者提供展示研究成果、交流学术思想、探讨领域发展的平台。
每个分会主题均经过精心设置,旨在促进知识共享、学术合作与深入研讨,并与联合国可持续发展目标(SDGs)保持一致。
提交摘要The session tracks of International Conference on Knowledge Representation and Information Science (ICKRIS - 27) support the following United Nations Sustainable Development Goals through research, collaboration and knowledge exchange.
本次会议的分会主题通过科研、合作与知识交流,支持以下联合国可持续发展目标。
Browse every track scheduled for this conference.
浏览本次会议的全部分会主题。
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
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
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
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
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
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
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
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
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
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
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
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