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Synthesizing knowledge graphs from web sources with the MINTE+ framework

: Collarana, Diego; Galkin, Mikhail; Vidal, Maria-Esther; Lange, Christoph; Auer, Soeren; Scerri, Simon


Vrandečić, D.:
The Semantic Web - ISWC 2018. 17th International Semantic Web Conference : Monterey, CA, USA, October 8-12, 2018, Proceedings, Part II
Cham: Springer International Publishing, 2018 (Lecture Notes in Computer Science 11137)
ISBN: 978-3-030-00667-9 (Print)
ISBN: 978-3-030-00668-6 (Online)
ISBN: 978-3-030-00669-3
International Semantic Web Conference (ISWC) <17, 2018, Monterey/Calif.>
European Commission EC
H2020; 688095; SlideWiki
Large-scale pilots for collaborative OpenCourseWare authoring, multiplatform delivery and Learning Analytics
Bundesministerium für Bildung und Forschung BMBF
13N13627; LiDaKra
Bundesministerium für Bildung und Forschung BMBF
01IS17031; InDaSpacePlus
Conference Paper
Fraunhofer IAIS ()
data integration; RDF; knowledge graph

Institutions from different domains require the integration of data coming from heterogeneous Web sources. Typical use cases include Knowledge Search, Knowledge Building, and Knowledge Completion. We report on the implementation of the RDF Molecule-Based Integration Framework MINTE+ in three domain-specific applications: Law Enforcement, Job Market Analysis, and Manufacturing. The use of RDF molecules as data representation and a core element in the framework gives MINTE+ enough flexibility to synthesize knowledge graphs in different domains. We first describe the challenges in each domain-specific application, then the implementation and configuration of the framework to solve the particular problems of each domain. We show how the parameters defined in the framework allow to tune the integration process with the best values according to each domain. Finally, we present the main results, and the lessons learned from each application.