37 citations · 51 across the 8 of their papers we have counts for
8 papers
Fusing Semantic, Lexical, and Domain Perspectives for Recipe Similarity Estimation
Denica Kjorvezir, Danilo Najkov, Eva Valencič +4
This research focuses on developing advanced methods for assessing similarity between recipes by combining different sources of information and analytical approaches. We explore th…
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…
Navigating the Data Space Landscape: Concepts, Applications, and Future Directions
Bojana Marojevikj, Riste Stojanov
This paper explores the evolving landscape of data spaces, focusing on key concepts, practical applications, and emerging future directions. It begins by introducing the foundation…
Food Data in the Semantic Web: A Review of Nutritional Resources, Knowledge Graphs, and Emerging Applications
Darko Sasanski, Riste Stojanov
This comprehensive review explores food data in the Semantic Web, highlighting key nutritional resources, knowledge graphs, and emerging applications in the food domain. It examine…
Enhancing Knowledge Graph Construction Using Large Language Models
Milena Trajanoska, Riste Stojanov, Dimitar Trajanov
The growing trend of Large Language Models (LLM) development has attracted significant attention, with models for various applications emerging consistently. However, the combined…
PharmKE: Knowledge Extraction Platform for Pharmaceutical Texts using Transfer Learning
Nasi Jofche, Kostadin Mishev, Riste Stojanov +2
The challenge of recognizing named entities in a given text has been a very dynamic field in recent years. This is due to the advances in neural network architectures, increase of…