activity
20192026
most citedRetrieval-Augmented Generation of Ontologies from Relational Databases

1 citations · 1 across the 11 of their papers we have counts for

collaborators

12 papers

cs.DB2026

Causal Explanations for Stratified Datalog

Ratan Bahadur Thapa, Steffen Staab

Rule-based reasoning with exceptions requires causal explanations that account for both present and absent facts. For positive Datalog, monotonicity allows minimal supports to dete…

cs.DB2026

Causality and Minimal Supports in Recursive Datalog

Ratan Bahadur Thapa, Steffen Staab

Explaining an inferred fact under rule evaluation can require identifying the inclusion-minimal input sets that suffice for the inference and the deletions that make the fact disap…

math.ST2026

Local Second-Order Bounds for Aggregation-Order Variation in Density Fusion

Ratan Bahadur Thapa

Distributed statistical analyses often aggregate local posterior or predictive densities by repeated pairwise fusion. When the binary fusion rule is nonassociative, changing the or…

cs.AI2026

ProbSPARQL: Querying Knowledge Graphs with Multi-dimensional, Uncertain Numeric Data

Jingcheng Wu, Ratan Bahadur Thapa, Daniel Hernandez +2

The SFB 1574 Circular Factory is building a shared knowledge graph infrastructure for integrating data about returned products. A central challenge is that circular-factory data in…

cs.DB2026

Identifiability of Relational Queries in Multi-View Pretraining

Ratan Bahadur Thapa, Daniel Hernández

When data sources are integrated through a shared interface, a downstream query may or may not be determined by what the interface exposes: two globally consistent worlds can agree…

cs.DB2026

On the Semantics of Generative SPARQL

Ratan Bahadur Thapa, Steffen Staab

We extend SPARQL with a generative query construct, called \tx{GenOp}, whose evaluation calls a language model and produces typed solution mappings. We define the semantics of the…

cs.IT2026

Compositional Boundaries for Density Fusion

Ratan Bahadur Thapa, Ali Darijani, Jürgen Beyerer +1

Distributed uncertainty-management systems often combine local probabilistic models along aggregation trees chosen by communication, privacy, or scheduling constraints. The final d…

cs.AI2026

KAPPS: A knowledge-based CPPS Architecture for the Circular Factory

Etienne Hoffmann, Jan-Felix Klein, Sören Weindel +7

While linear manufacturing relies on homogeneous materials and predefined process sequences, circular manufacturing reintroduces used products with heterogeneous and uncertain cond…

cs.CL2026

Leveraging Graph Structure in Seq2Seq Models for Knowledge Graph Link Prediction

Luu Huu Phuc, Ratan Bahadur Thapa, Mojtaba Nayyeri +3

We introduce Graph-Augmented Sequence-to-Sequence (GA-S2S), a novel framework that integrates a T5-small encoder-decoder with a Relational Graph Attention Network (RGAT) to improve…

cs.DB2026

Towards Foundation Models for Relational Databases with Language Models and Graph Neural Networks

Jingcheng Wu, Ratan Bahadur Thapa, Mojtaba Nayyeri +4

Relational databases store much of the world's structured information, and they are essential for driving complex predictive applications. However, deep learning progress on relati…

cs.DB2025★ 1 cited

Retrieval-Augmented Generation of Ontologies from Relational Databases

Nadeen Fathallah, Mojtaba Nayyeri, Athish A Yogi +4

Deriving OWL ontologies from relational database schemas supports semantic interoperability and downstream tasks such as knowledge graph population, ontology-based data access, gra…

cs.FL2019

Generating Posets Beyond N

Uli Fahrenberg, Christian Johansen, Georg Struth +1

We introduce iposets---posets with interfaces---equipped with a novel gluing composition along interfaces and the standard parallel composition. We study their basic algebraic prop…