activity
20152026
most citedCardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networks

16 citations · 27 across the 9 of their papers we have counts for

collaborators

10 papers

cs.DB2026

Integrating Semantics into Research Data Management: Modelling and Validating Materials Science Experiment Workflows

Samuel García Vázquez, Victor Dudarev, Alfred Ludwig +2

The incorporation of Semantic Web technologies within scientific environments is becoming an increasingly popular Research Data Management (RDM) practice. While ontologies offer fl…

cond-mat.mtrl-sci2026

Field report from Collaborative Research Center 1625: Heterogeneous research data management using ontology representations

Doaa Mohamed, Samuel García Vázquez, Behnam Mardani +4

The goal of the Collaborative Research Center 1625 is the establishment of a scientific basis for the atomic-scale understanding and design of multifunctional compositionally compl…

cs.AI2023

Towards Semantically Enriched Embeddings for Knowledge Graph Completion

Mehwish Alam, Frank van Harmelen, Maribel Acosta

Embedding based Knowledge Graph (KG) Completion has gained much attention over the past few years. Most of the current algorithms consider a KG as a multidirectional labeled graph…

cs.DB2023★ 16 cited

Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networks

Tim Schwabe, Maribel Acosta

Cardinality Estimation over Knowledge Graphs (KG) is crucial for query optimization, yet remains a challenging task due to the semi-structured nature and complex correlations of ty…

cs.CV2022

On the Applicability of Synthetic Data for Re-Identification

Jérôme Rutinowski, Bhargav Vankayalapati, Nils Schwenzfeier +2

This contribution demonstrates the feasibility of applying Generative Adversarial Networks (GANs) on images of EPAL pallet blocks for dataset enhancement in the context of re-ident…

cs.DB2022★ 4 cited

Consistent data fusion with Parker

Antoon Bronselaer, Maribel Acosta

When combining data from multiple sources, inconsistent data complicates the production of a coherent result. In this paper, we introduce a new type of constraints called edit rule…

cs.DB2021★ 2 cited

A Framework for Federated SPARQL Query Processing over Heterogeneous Linked Data Fragments

Lars Heling, Maribel Acosta

Linked Data Fragments (LDFs) refer to Web interfaces that allow for accessing and querying Knowledge Graphs on the Web. These interfaces, such as SPARQL endpoints or Triple Pattern…

cs.DB2019

A Software Framework and Datasets for the Analysis of Graph Measures on RDF Graphs

Matthäus Zloch, Maribel Acosta, Daniel Hienert +2

As the availability and the inter-connectivity of RDF datasets grow, so does the necessity to understand the structure of the data. Understanding the topology of RDF graphs can gui…

cs.CL2017

TokTrack: A Complete Token Provenance and Change Tracking Dataset for the English Wikipedia

Fabian Flöck, Kenan Erdogan, Maribel Acosta

We present a dataset that contains every instance of all tokens (~ words) ever written in undeleted, non-redirect English Wikipedia articles until October 2016, in total 13,545,349…

cs.DB2015★ 5 cited

RDF-Hunter: Automatically Crowdsourcing the Execution of Queries Against RDF Data Sets

Maribel Acosta, Elena Simperl, Fabian Flöck +2

In the last years, a large number of RDF data sets has become available on the Web. However, due to the semi-structured nature of RDF data, missing values affect answer completenes…