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Developing a Module for Generating Formalized Semantic Morphological Descriptions for Morph∙D∙Base

AutorInnen: 
Meid, S., Baum, R., Batty, P., Grobe, P., Köhler, C., Quast, B., Vogt, L.
Erscheinungsjahr: 
2017
Vollständiger Titel: 
Developing a Module for Generating Formalized Semantic Morphological Descriptions for Morph∙D∙Base
Autor/-innen des ZFMK: 
Org. Einordnung: 
Publiziert in: 
"leibniz" - Magazin der Leibniz-Gemeinschaft
Publikationstyp: 
Abstract, Talk, Poster, Buchbesprechung
DOI Name: 
10.3897/tdwgproceedings.1.15141
Keywords: 
ontology, Morph∙D∙Base, morphology, formalized semantic morphological description, partonomy, free-text descriptions, semantic annotation, ontology-controlled application, content management system
Bibliographische Angaben: 
Meid, S., Baum, R., Batty, P., Grobe, P., Köhler, C., Quast, B., Vogt, L. (2017): Developing a Module for Generating Formalized Semantic Morphological Descriptions for Morph∙D∙Base. - Biodiversity Information Science and Standards 1: e15141.
Abstract: 

We demonstrate the early prototype of a new module for Morph∙D∙Base that allows the generation of highly formalized semantic morphological descriptions (http://escience.biowikifarm.net/wiki/EScience-Compliant_Standards_for_Mo...). The resulting morphological descriptions follow the individuals-based Instance Anatomy data scheme (as opposed to the class-based Semantic Phenotypes data scheme). The module allows the description of a specimen's anatomy by generating a granular representation of the parts of the specimen to be described, using ontology-terms from known ontologies. This results in a hierarchy of parts and subparts (partonomy), which serves as organizational backbone of the entire description, with each part representing a section of the description to which you can navigate using the partonomy. The module allows the description of each part from the partonomy using (1) a set of formalized input forms, which also allow the specification of metadata for each input field, (2) a text-widget for providing conventional free-text descriptions, which can be semantically enriched through annotating them with ontology-terms of (user-)selected ontologies, and (3) an image-widget for linking images, which allows semantically enriching each image by specifying regions of interest and annotating them with ontology-terms of (user-)selected ontologies. This new module is based on SOCCOMAS, an application for semantic ontology-controlled Web-Content-Management-Systems that we are currently developing (http://escience.biowikifarm.net/wiki/SOCCOMAS:_an_application_for_semant...).

Ansprechpartner

+49 228 9122-424
+49 228 9122-295
s.meid [at] leibniz-zfmk.de