22 citations · 60 across the 13 of their papers we have counts for
27 papers
Dragoman: Efficiently Evaluating Declarative Mapping Languages over Frameworks for Knowledge Graph Creation
Samaneh Jozashoori, Enrique Iglesias, Maria-Esther Vidal
In recent years, there have been valuable efforts and contributions to make the process of RDF knowledge graph creation traceable and transparent; extending and applying declarativ…
Efficient Semantic Summary Graphs for Querying Large Knowledge Graphs
Emetis Niazmand, Gezim Sejdiu, Damien Graux +1
Knowledge Graphs (KGs) integrate heterogeneous data, but one challenge is the development of efficient tools for allowing end users to extract useful insights from these sources of…
Reuse of Semantic Models for Emerging Smart Grids Applications
Valentina Janev, Dušan Popadić, Dea Pujić +2
Data in the energy domain grows at unprecedented rates. Despite the great potential that IoT platforms and other big data-driven technologies have brought in the energy sector, dat…
Managing Knowledge in Energy Data Spaces
Valentina Janev, Maria-Esther Vidal, Kemele Endris +1
Data in the energy domain grows at unprecedented rates and is usually generated by heterogeneous energy systems. Despite the great potential that big data-driven technologies can b…
Analyzing a Knowledge Graph of Industry4.0 Standards
Irlan Grangel-Gonzalez, Maria-Esther Vidal
In this article, we tackle the problem of standard interoperability across different standardization frameworks, and devise a knowledge-driven approach that allows for the descript…
Knowledge-driven Data Ecosystems Towards Data Transparency
Sandra Geisler, Maria-Esther Vidal, Cinzia Cappiello +9
A Data Ecosystem offers a keystone-player or alliance-driven infrastructure that enables the interaction of different stakeholders and the resolution of interoperability issues amo…