Context-compatible information fusion for scientific knowledge graphs

H Kroll, JC Kalo, D Nagel, S Mennicke… - Digital Libraries for Open …, 2020 - Springer
Currently, a trend to augment document collections with entity-centric knowledge provided
by knowledge graphs is clearly visible, especially in scientific digital libraries. Entity facts are …

Scalable methods for measuring the connectivity and quality of large numbers of linked datasets

M Mountantonakis, Y Tzitzikas - Journal of Data and Information Quality …, 2018 - dl.acm.org
Although the ultimate objective of Linked Data is linking and integration, it is not currently
evident how connected the current Linked Open Data (LOD) cloud is. In this article, we focus …

Holistic entity clustering for linked data

M Nentwig, A Groß, E Rahm - 2016 IEEE 16th International …, 2016 - ieeexplore.ieee.org
Pairwise link discovery approaches for the Web of Data do not scale to many sources
thereby limiting the potential for data integration. We thus propose a holistic approach for …

Knowledge graph consolidation by unifying synonymous relationships

JC Kalo, P Ehler, WT Balke - The Semantic Web–ISWC 2019: 18th …, 2019 - Springer
Entity-centric information resources in the form of huge RDF knowledge graphs have
become an important part of today's information systems. But while the integration of …

Marco de referencia para la publicación de datos abiertos comprensibles basado en estándares de calidad

S Cadena-Vela - 2019 - rua.ua.es
Los portales donde se publican datos abiertos son una oportunidad para democratizar el
acceso a la información generada por las instituciones del sector público, así como …

[PDF][PDF] Resolving Representation Heterogeneity in Real-World Knowledge Graphs.

JC Kalo - 2021 - scholar.archive.org
Abstract Knowledge graphs are repositories providing factual knowledge about entities.
They are a great source of knowledge to support modern AI applications for Web search …

[PDF][PDF] A Clustering Approach for Holistic Link Discovery (Project overview).

M Nentwig, A Groß, E Rahm - LWDA, 2016 - ceur-ws.org
Pairwise link discovery approaches for the Web of Data do not scale to many sources
thereby limiting the potential for data integration. We thus propose a holistic approach for …

[PDF][PDF] Scalable Data Integration for Linked Data

M Nentwig - 2020 - core.ac.uk
Linked Data describes an extensive set of structured but heterogeneous data sources where
entities are connected by formal semantic descriptions. In the vision of the Semantic Web …