Morph Family Tools


Morph is a suite of open source tools for generating Virtual Knowledge Graphs over heterogeneous data sources

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Tools At Your Service


Morph-RDB

Morph-RDB is an RDB2RDF engine that translates SPARQL queries to SQL using R2RML mappings.

Morph-GraphQL

Morph-GraphQL generates a GraphQL server from a R2RML mapping for providing access to an RDB.


Morph-CSV

Morph-CSV is a engine to enable OBDA query translation over heterogeneous CSV files.

Publications


  • Virtual Statistics Knowledge Graph Generation from CSV files

    D. Chaves-Fraga, F. Priyatna, I. Perez-Santana and O. Corcho, Virtual Statistics Knowledge Graph Generation from CSV files, in: Emerging Topics in Semantic Technologies: ISWC 2018 Satellite Events, Studies on the Semantic Web, Vol. 36, IOS Press, 2018, pp. 235–244.

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  • Formalisation and experiences of R2RML-based SPARQL to SQL query translation using morph

    F. Priyatna, O. Corcho and J. Sequeda, Formalisation and experiences of R2RML-based SPARQL to SQL query translation using morph, in: Proceedings of the 23rd international conference on World wide web, ACM, 2014, pp. 479–490.

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  • Morph-GraphQL: GraphQL Server Generation from R2RML Mappings

    F. Priyatna, D. Chaves-Fraga, A. Alobaid and O. Corcho, morph-GraphQL: GraphQL Server Generation from R2RML Mappings., in: SEKE, 2019.

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Projects


  • MobileAge

    Mobile Age ensures the inclusion of seniors in digital public services thanks to the development of user-friendly mobile applications based on open government data.

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Awards


  • Best Demo Paper award at SEKE 2019

    Winners: Ahmad Alobaid, David Chaves-Fraga, Freddy Priyatna and Oscar Corcho

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  • Best paper award at SemStats@ISWC2018

    Winners: David Chaves-Fraga, Freddy Priyatna, Idafen Perez-Santana and Oscar Corcho.

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Team


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DAVID CHAVES-FRAGA

David Chaves-Fraga is a researcher and PhD student of the Ontology Engineering Group - Universidad Politécnica de Madrid since 2016, his work is currently focused on the generation of virtual knowledge graph from CSV on the Web using mapping languages.

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OSCAR CORCHO

Oscar Corcho is a full professor at Universidad Politécnica de Madrid and one of the leaders of the Ontology Engineering Group. He also leads the Data Integration area of the group and he been working and teaching Data Integration, OBDA, and Linked Data since 2004.

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FREDDY PRIYATNA

Freddy Priyatna is a postdoctoral researcher at the Ontology Engineering Group - Universidad Politécnica de Madrid since 2012. He holds a PhD in the same research group where he developed the R2RML engine morph-RDB together with R2RML mapping generator, MIRROR. His main research area is on providing query access to virtual knowledge graph.

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JHON TOLEDO

Jhon Toledo is a research assistant at the Ontology Engineering Group - Universidad Politécnica de Madrid.

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AHMAD ALOBAID

Ahmad Alobaid is a researcher and PhD student of the Ontology Engineering Group - Universidad Politécnica de Madrid since 2016, his main research area is on the semantic labelling of tabular data using machine learning and existing knowledge graphs.

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Ana Iglesias-Molina

Ana Iglesias-Molina is a researcher and PhD student of the Ontology Engineering Group - Universidad Politécnica de Madrid since 2019. Her work is mainly focused on data integration of diverse sources from the biological domain.

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Ontology Engineering Group


The Ontology Engineering Group (OEG) is based at the Computer Science School at Universidad Politécnica de Madrid (UPM). It is widely recognised in Europe in the areas of Ontology Engineering, Semantic Infrastructure, Linked Data, and Data Integration. Our main research areas are: Ontological Engineering, Semantic Web and Linked Data, Natural Language, Semantic e-Science and the Semantic Data Integration.