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Using Semantic Programming for Developing a Web Content Management System.

AutorInnen: 
Vogt, L., Baum, R., Köhler, C., Meid, S., Quast, B., Grobe, P.
Erscheinungsjahr: 
2018
Vollständiger Titel: 
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: 200-206.
Autor/-innen des ZFMK: 
Org. Einordnung: 
Publiziert in: 
"leibniz" - Magazin der Leibniz-Gemeinschaft
Publikationstyp: 
Beitrag zu Sammelwerk
DOI Name: 
10.1007/978-3-030-06016-9_19
Keywords: 
Semantic programming, Phenotypic data, Linked open data, Semantic Morph·D·Base, Semantic annotation, Morphological data
Bibliographische Angaben: 
Vogt, L., Baum, R., Köhler, C., Meid, S., Quast, B., Grobe, P. (2018): Using Semantic Programming for Developing a Web Content Management System for Semantic Phenotype Data
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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