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DOG4DAG specifications


Unique identifier OMICS_09865
Alternative name Dresden Ontology Generator for Directed Acyclic Graphs
Software type Package/Module
Interface Graphical user interface
Restrictions to use None
Operating system Unix/Linux
Programming languages Java
Computer skills Medium
Stability Stable
Maintained Yes


No version available


  • person_outline Thomas Wächter

Publications for Dresden Ontology Generator for Directed Acyclic Graphs

DOG4DAG citations


Formalizing biomedical concepts from textual definitions

J Biomed Semantics
PMCID: 4422531
PMID: 25949785
DOI: 10.1186/s13326-015-0015-3

[…] following the technical details with regards to the versions of the resources and tools used. The WIKI corpus was collected from Wikipedia of Nov. 7, 2012, and the D4D corpus was collected using the Dog4Dag plugin on Nov. 9, 2012. With regards to SNOMED CT, the version released as of Jan. 31, 2012 was used. The MeSH hierarchy version used is the official MeSH 2013 release, that was officially rel […]


TermGenie – a web application for pattern based ontology class generation

J Biomed Semantics
PMCID: 4417543
PMID: 25937883
DOI: 10.1186/2041-1480-5-48

[…] each other in the ontology development workflow. In fact the comprehensive ODTs are required during the template design and testing.Other related work exists in the form of the Term Generation plugin DOG4DAG []. It is available as an OBO-Edit and Protégé plugin. The tool allows proposal of new classes based on phrases extracted from a given text corpus. The most common use case is to create or add […]


NCBO Technology: Powering semantically aware applications

J Biomed Semantics
PMCID: 3633000
PMID: 23734708
DOI: 10.1186/2041-1480-4-S1-S8

[…] facilitates interoperability across service providers, mobile devices (wearable devices, phones, palm, etc.) smart home technology, and medical care providers for elderly and disabled population. The Dresden Ontology Generator for Directed Acyclic Graphs [] plugin for Protégé 4 and OBO-Edit generates ontology terms, definitions, and relationships based on natural language text found in PubMed, the […]


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DOG4DAG institution(s)
Biotechnology Center (BIOTEC), Technische Universität Dresden, Dresden, Germany
DOG4DAG funding source(s)
BMBF Projects Go3R (0315489A); GoOn (01MQ09009); FORMAT (03FO1132); the EU project PONTE (FP7-247945)

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