22 citations · 75 across the 14 of their papers we have counts for
15 papers · 1 filter
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…
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…
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…
Trav-SHACL: Efficiently Validating Networks of SHACL Constraints
Mónica Figuera, Philipp D. Rohde, Maria-Esther Vidal
Knowledge graphs have emerged as expressive data structures for Web data. Knowledge graph potential and the demand for ecosystems to facilitate their creation, curation, and unders…
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…