74 citations · 340 across the 34 of their papers we have counts for
8 papers · 1 filter
Compact Representations for Efficient Storage of Semantic Sensor Data
Farah Karim, Maria-Esther Vidal, Sören Auer
Nowadays, there is a rapid increase in the number of sensor data generated by a wide variety of sensors and devices. Data semantics facilitate information exchange, adaptability, a…
SDM-RDFizer: An RML Interpreter for the Efficient Creation of RDF Knowledge Graphs
Enrique Iglesias, Samaneh Jozashoori, David Chaves-Fraga +2
In recent years, the amount of data has increased exponentially, and knowledge graphs have gained attention as data structures to integrate data and knowledge harvested from myriad…
FunMap: Efficient Execution of Functional Mappings for Knowledge Graph Creation
Samaneh Jozashoori, David Chaves-Fraga, Enrique Iglesias +2
Data has exponentially grown in the last years, and knowledge graphs constitute powerful formalisms to integrate a myriad of existing data sources. Transformation functions -- spec…
Unveiling Relations in the Industry 4.0 Standards Landscape based on Knowledge Graph Embeddings
Ariam Rivas, Irlán Grangel-González, Diego Collarana +2
Industry~4.0 (I4.0) standards and standardization frameworks have been proposed with the goal of \emph{empowering interoperability} in smart factories. These standards enable the d…
Optimizing Federated Queries Based on the Physical Design of a Data Lake
Philipp D. Rohde, Maria-Esther Vidal
The optimization of query execution plans is known to be crucial for reducing the query execution time. In particular, query optimization has been studied thoroughly for relational…
Compacting Frequent Star Patterns in RDF Graphs
Farah Karim, Maria-Esther Vidal, Sören Auer
Knowledge graphs have become a popular formalism for representing entities and their properties using a graph data model, e.g., the Resource Description Framework (RDF). An RDF gra…
Bias in Data-driven AI Systems -- An Introductory Survey
Eirini Ntoutsi, Pavlos Fafalios, Ujwal Gadiraju +20
AI-based systems are widely employed nowadays to make decisions that have far-reaching impacts on individuals and society. Their decisions might affect everyone, everywhere and any…
Enhancing Virtual Ontology Based Access over Tabular Data with Morph-CSV
David Chaves-Fraga, Edna Ruckhaus, Freddy Priyatna +2
Ontology-Based Data Access (OBDA) has traditionally focused on providing a unified view of heterogeneous datasets, either by materializing integrated data into RDF or by performing…