activity
20152021
most citedAnalyzing a Knowledge Graph of Industry4.0 Standards

13 citations · 28 across the 4 of their papers we have counts for

collaborators

5 papers

cs.DC2021

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…

cs.DB202113 cited

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…

cs.DL202113 cited

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…

cs.IR2016

Question Answering on Linked Data: Challenges and Future Directions

Saeedeh Shekarpour, Denis Lukovnikov, Ashwini Jaya Kumar +4

Question Answering (QA) systems are becoming the inspiring model for the future of search engines. While recently, underlying datasets for QA systems have been promoted from unstru…

cs.DC20152 cited

Interest-based RDF Update Propagation

Kemele M. Endris, Sidra Faisal, Fabrizio Orlandi +2

Many LOD datasets, such as DBpedia and LinkedGeoData, are voluminous and process large amounts of requests from diverse applications. Many data products and services rely on full o…