activity
20172023
most citedFormalising opencypher Graph Queries in Relational Algebra

20 citations · 39 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2023

Prompting or Fine-tuning? A Comparative Study of Large Language Models for Taxonomy Construction

Boqi Chen, Fandi Yi, Dániel Varró

Taxonomies represent hierarchical relations between entities, frequently applied in various software modeling and natural language processing (NLP) activities. They are typically s…

cs.SE2023★ 13 cited

Concretization of Abstract Traffic Scene Specifications Using Metaheuristic Search

Aren A. Babikian, Oszkár Semeráth, Dániel Varró

Existing safety assurance approaches for autonomous vehicles (AVs) perform system-level safety evaluation by placing the AV-under-test in challenging traffic scenarios captured by…

cs.IR2023★ 3 cited

Towards Improving the Explainability of Text-based Information Retrieval with Knowledge Graphs

Boqi Chen, Kua Chen, Yujing Yang +6

Thanks to recent advancements in machine learning, vector-based methods have been adopted in many modern information retrieval (IR) systems. While showing promising retrieval perfo…

cs.SE2021

Worst-Case Execution Time Calculation for Query-Based Monitors by Witness Generation

Márton Búr, Kristóf Marussy, Brett H. Meyer +1

Runtime monitoring plays a key role in the assurance of modern intelligent cyber-physical systems, which are frequently data-intensive and safety-critical. While graph queries can…

cs.DB2018★ 3 cited

Reducing Property Graph Queries to Relational Algebra for Incremental View Maintenance

Gábor Szárnyas, József Marton, János Maginecz +1

The property graph data model of modern graph database systems is increasingly adapted for storing and processing heterogeneous datasets like networks. Many challenging application…

cs.DB2017★ 20 cited

Formalising opencypher Graph Queries in Relational Algebra

József Marton, Gábor Szárnyas, Dániel Varró

Graph database systems are increasingly adapted for storing and processing heterogeneous network-like datasets. However, due to the novelty of such systems, no standard data model…