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International Conference on Data Integration in the Life Sciences

DILS 2018: Data Integration in the Life Sciences pp 200–206Cite as

Using Semantic Programming for Developing a Web Content Management System for Semantic Phenotype Data

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Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 11371))

Abstract

We present a prototype of a semantic version of Morph·D·Base that is currently in development. It is based on SOCCOMAS, a semantic web content management system that is controlled by a set of source code ontologies together with a Java-based middleware and our Semantic Programming Ontology (SPrO). The middleware interprets the descriptions contained in the source code ontologies and dynamically decodes and executes them to produce the prototype. The Morph·D·Base prototype in turn allows the generation of instance-based semantic morphological descriptions through completing input forms. User input to these forms generates data in form of semantic graphs. We show with examples how the prototype has been described in the source code ontologies using SPrO and demonstrate live how the middleware interprets these descriptions and dynamically produces the application.

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Notes

  1. 1.

    A semantic graph is a network of RDF/OWL-based triple statements, in which a given Uniform Resource Identifier (URI) takes the Object position in one triple and the Subject position in another triple. This way, several triples can be connected to form a semantic graph. Because information about individuals can be represented as a semantic graph as well, we distinguish class- and instance-based semantic graphs.

  2. 2.

    A named graph identifies a set of triple statements by adding the URI of the named graph to each triple belonging to this named graph, thus turning the triple into a quad. The Jena tuple store can handle such quadruples. The use of named graphs enables partitioning data in an RDF store.

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Author information

Authors and Affiliations

  1. Universität Bonn, IEZ, An der Immenburg 1, 53121, Bonn, Germany

    Lars Vogt, Roman Baum, Christian Köhler & Sandra Meid

  2. Zoologisches Forschungsmuseum Alexander Koenig, Adenauerallee 160, 53113, Bonn, Germany

    Björn Quast & Peter Grobe

Authors
  1. Lars Vogt
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  2. Roman Baum
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  3. Christian Köhler
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  4. Sandra Meid
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  5. Björn Quast
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  6. Peter Grobe
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Corresponding author

Correspondence to Lars Vogt .

Editor information

Editors and Affiliations

  1. TIB and Leibniz University, Hannover, Germany

    Sören Auer

  2. TIB and Leibniz University, Hannover, Germany

    Maria-Esther Vidal

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Vogt, L., Baum, R., Köhler, C., Meid, S., Quast, B., Grobe, P. (2019). Using Semantic Programming for Developing a Web Content Management System for Semantic Phenotype Data. In: Auer, S., Vidal, ME. (eds) Data Integration in the Life Sciences. DILS 2018. Lecture Notes in Computer Science(), vol 11371. Springer, Cham. https://doi.org/10.1007/978-3-030-06016-9_19

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  • DOI: https://doi.org/10.1007/978-3-030-06016-9_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-06015-2

  • Online ISBN: 978-3-030-06016-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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