Research

Morph-KGC is a project created by Julián Arenas-Guerrero in the context of his PhD thesis under the supervision of Oscar Corcho and María S. Pérez in the Ontology Engineering Group.

Publications

Journals

• An RML-FNML module for Python user-defined functions in Morph-KGC
  SoftwareX | 2024 | Julián Arenas-Guerrero, Paola Espinoza-Arias, José Antonio Bernabé-Diaz, Prashant Deshmukh, José Luis Sánchez-Fernández, Oscar Corcho
• Declarative generation of RDF-star graphs from heterogeneous data
  Semantic Web Journal | 2024 | Julián Arenas-Guerrero, Ana Iglesias-Molina, David Chaves-Fraga, Daniel Garijo, Oscar Corcho, Anastasia Dimou
• Morph-KGC: Scalable knowledge graph materialization with mapping partitions
  Semantic Web Journal | 2024 | Julián Arenas-Guerrero, David Chaves-Fraga, Jhon Toledo, María S. Pérez, Oscar Corcho

Conferences

• Boosting Knowledge Graph Generation from Tabular Data with RML Views
  ESWC | 2023 | Julián Arenas-Guerrero, Ahmad Alobaid, María Navas-Loro, María S. Pérez, Oscar Corcho

Intellectual Property

The source code of Morph-KGC is registered on the Intellectual Property Registry of the Community of Madrid under the reference M-003951/2021.

Projects

• KnowledgeSpaces (Grant PID2020-118274RB-I00 funded by MCIN/AEI/ 10.13039/501100011033).

• SIGTRANS (Grant PDC2021-120917-C22 funded by MCIN/AEI/ 10.13039/501100011033 and by the European Union NextGenerationEU/PRTR).

• Datos 4.0 (Grant TIN2016-78011-C4-4-R funded by MCIN/AEI/ 10.13039/501100011033 and by ERDF A way of making Europe).

• ENTENTE (Grant 9000018 funded by Euratom 2019-2020).