6 papers
Taxonomy-Driven Analysis of Open-Source AI Risk Mitigation Tools
Afreen Alam, Evgenija Popchanovska, Ana Gjorgjevikj +4
Rapid adoption of large language models (LLMs) in enterprise settings has introduced operational, security, and governance risks. As generative AI applications move from pilot to p…
When AI Fails, What Works? A Data-Driven Taxonomy of Real-World AI Risk Mitigation Strategies
Evgenija Popchanovska, Ana Gjorgjevikj, Maryan Rizinski +3
Large language models (LLMs) are increasingly embedded in high-stakes workflows, where failures propagate beyond isolated model errors into systemic breakdowns that can lead to leg…
Building a Macedonian Recipe Dataset: Collection, Parsing, and Comparative Analysis
Darko Sasanski, Dimitar Peshevski, Riste Stojanov +1
Computational gastronomy increasingly relies on diverse, high-quality recipe datasets to capture regional culinary traditions. Although there are large-scale collections for major…
AI Agent-Driven Framework for Automated Product Knowledge Graph Construction in E-Commerce
Dimitar Peshevski, Riste Stojanov, Dimitar Trajanov
The rapid expansion of e-commerce platforms generates vast amounts of unstructured product data, creating significant challenges for information retrieval, recommendation systems,…
A Multi-Agent System for Semantic Mapping of Relational Data to Knowledge Graphs
Milena Trajanoska, Riste Stojanov, Dimitar Trajanov
Enterprises often maintain multiple databases for storing critical business data in siloed systems, resulting in inefficiencies and challenges with data interoperability. A key to…
Ontology-Based Structuring and Analysis of North Macedonian Public Procurement Contracts
Bojan Ristov, Stefan Eftimov, Milena Trajanoska +1
Public procurement plays a critical role in government operations, ensuring the efficient allocation of resources and fostering economic growth. However, traditional procurement da…