Focal Theme: Responsible AI in LIS Domain

Sub-Themes

1. AI in Inventory Control

• Collection Development vs. Resource Optimization
• Access vs. Ownership
• ERMS (Electronic Resource Management System)
• Metadata Encoding, Harvesting, and Discovery
• Cloud Computing and Library Inventory Objects

2. AI in Technical Processing

• Text Retrieval Models and Techniques
• Full-text Extraction and Retrieval
• Subject Authority and Name Authority Management
• Multilingual IRR, Integrated Subject Access, and Ontology
• Linked Open Data (LOD) and Big Data Applications
• Resources Integration: Bibliographic, Cultural & Heritage Objects, Interoperability Standard
• GIS (Geographic Information System) in Library Retrieval and Services

3. AI in Library retrieval and Service Dissemination

• Semantic IR – Vector Space model, Embedding
• RAG (Retrieval Augmented Generation), MCP (Model Context protocol)
• Library Service Platform (LSP)
• Library N.0, Library Mashup, and Semantic Web Technology
• Library Discovery – Systems & Services
• Service Measurement: Bibliometrics, Webometrics, Altmetrics, and Quality Indicators
• User Interfaces: Collaboration, Participation, and Interaction
• Recommender Systems

4. AI in LIS Education

• RAG Reversing
• AI in LCMS
• Integration of Library Services in LCMS
• MOOCs and LIS Education
• Indian Initiatives in LIS

5. Miscellaneous

• Any topics not strictly under the theme or sub-themes but related to the LIS (Library and Information
Science) domain