Latest Articles for Information Systems

This paper investigates how observers can infer agent information from their actions.

Integrating IoMT and fog computing improves real-time healthcare data management.

A new framework improves machine learning from diverse information sources.

A new benchmark aims to enhance data retrieval in Compound AI Systems.

A new framework improves predictions for unseen entities in knowledge graphs.

Exploring the role of microservices in knowledge discovery for patent applications.

Learn strategies for reducing latency in distributed data storage systems.

Learn how to manage data quality using SHACL and consistent query answering.

Exploring the role of neurons in enhancing IR model interpretability.

A new method for efficient data retrieval in decentralized environments.

RankRAG enhances language models by combining retrieval and answer generation.

Researchers examine DNA's potential for efficient data storage using motifs.

New architecture improves efficiency and reduces errors in quantum computations.

This study reveals how non-adversarial attacks impact knowledge graph embedding algorithms.

A look into the rise and applications of graph databases.

A look into how anomaly detection improves business efficiency and identifies issues.

A new model enhances inductive reasoning in knowledge graphs by using multiple starting entities.

An open-source tool ensuring verified scientific information access.

A simple look at how data storage systems work.

A new system aims to improve tourist experiences in Tibet.

Learn how security measures protect critical infrastructure from increasing cyber attacks.

A framework to enhance the accuracy of interconnected data systems.

A new method ensures secure name matching while protecting sensitive data.

Wav2graph creates knowledge graphs from spoken language for improved AI understanding.

Comidds offers updated information on datasets for intrusion detection research.

A new approach lowers memory needs while keeping recommendations relevant.

Research on improving recommender systems through user-centered, diverse suggestions.

REST improves prediction of missing connections in evolving knowledge graphs.

A look at how information compression aids decision-making in complex game environments.

MuRAR enhances answers using text, images, and videos for clearer responses.

Recent research reveals that atomic spin waves can regenerate, enhancing their stability and efficiency.

A new model enhances efficiency and accuracy in recommendation systems.

A new framework optimizes queries across relational and graph data.

Examining the growth and importance of automated systems for fact-checking claims.

A model for organizing knowledge graphs through entity clustering and hierarchical structures.

R2GQA helps students find answers to complex university rules efficiently.

Understanding the importance and challenges of dynamic knowledge graphs.

NOVI helps university freshmen adjust by providing timely and relevant information through a chatbot.

Combining quantum mechanics with machine learning for time-varying data tasks.

A new method enhances node selection for graph domain adaptation.