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DOG4DAG: semi-automated ontology generation in OBO-Edit and Protégé

Authors:

Thomas Wächter,

Götz Fabian,

Michael SchroederAuthors Info & Claims

SWAT4LS '11: Proceedings of the 4th International Workshop on Semantic Web Applications and Tools for the Life Sciences

Pages 119 - 120

https://doi.org/10.1145/2166896.2166926

Published: 07 December 2011 Publication History

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Abstract

In the biomedical domain, Protégé and OBO-Edit are the main ontology editors supporting the manual construction of ontologies. Since manual creation is a laborious and hence costly process, there have been efforts to automate parts of this process. Here, we give a demo of the capabilities of DOG4DAG, the Dresden Ontology Generator for Directed Acyclic Graphs, which is available as plugin to both OBO-Edit and Protégé. In the demo, we describe how to generate terms and in particular siblings, definitions, and is-a relationships using an example in the domain of nervous system diseases. We summarise the strengths and limits of the different the steps of the generation process.

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Cited By

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Rupali Deshmukh RAnjali Raut B(2021)A Comprehensive Review on Ontology and Semantic WebProceedings of Integrated Intelligence Enable Networks and Computing10.1007/978-981-33-6307-6_29(287-292)Online publication date: 24-Apr-2021
https://doi.org/10.1007/978-981-33-6307-6_29
Krit SEl Asikri MEl Habil BChaib HBenaddy MElouali MBayat OAljawarneh S(2018)Development of Semantic Web applicationsProceedings of the Fourth International Conference on Engineering & MIS 201810.1145/3234698.3234753(1-6)Online publication date: 19-Jun-2018
https://dl.acm.org/doi/10.1145/3234698.3234753
Kamdar MTudorache TMusen M(2017)A systematic analysis of term reuse and term overlap across biomedical ontologiesSemantic Web10.3233/SW-1602388:6(853-871)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.3233/SW-160238
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Index Terms

DOG4DAG: semi-automated ontology generation in OBO-Edit and Protégé
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
  2. Machine learning

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Published In

SWAT4LS '11: Proceedings of the 4th International Workshop on Semantic Web Applications and Tools for the Life Sciences

December 2011

139 pages

ISBN:9781450310765

DOI:10.1145/2166896

Conference Chairs:
Adrian Paschke
Freie Universitaet Berlin, Germany
,
Albert Burger
Heriot-Watt University, and Medical Research Council, Edinburgh, Scotland, United Kingdom
,
Paolo Romano
IST National Cancer Research Institute, Genova, Italy
,
M. Scott Marshall
University of Amsterdam, The Netherlands
,
Andrea Splendiani
Rothamsted Research, UK

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

In-Cooperation

SIGBio: ACM Special Interest Group on Bioinformatics
IW3C2: International World Wide Web Conference Committee

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Association for Computing Machinery

New York, NY, United States

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Published: 07 December 2011

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SWAT4LS '11

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Corporate Semantic Web
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BioMed Central

SWAT4LS '11: 4th Int. Workshop on Semantic Web Applications and Tools for Life Sciences

December 7 - 9, 2011

London, United Kingdom

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Rupali Deshmukh RAnjali Raut B(2021)A Comprehensive Review on Ontology and Semantic WebProceedings of Integrated Intelligence Enable Networks and Computing10.1007/978-981-33-6307-6_29(287-292)Online publication date: 24-Apr-2021
https://doi.org/10.1007/978-981-33-6307-6_29
Krit SEl Asikri MEl Habil BChaib HBenaddy MElouali MBayat OAljawarneh S(2018)Development of Semantic Web applicationsProceedings of the Fourth International Conference on Engineering & MIS 201810.1145/3234698.3234753(1-6)Online publication date: 19-Jun-2018
https://dl.acm.org/doi/10.1145/3234698.3234753
Kamdar MTudorache TMusen M(2017)A systematic analysis of term reuse and term overlap across biomedical ontologiesSemantic Web10.3233/SW-1602388:6(853-871)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.3233/SW-160238
Asikri MKrit SChaib HKabrane MOuadani HKarimi KBendaouad KElbousty H(2017)Mining the Web for learning ontologies: State of art and critical review2017 International Conference on Engineering & MIS (ICEMIS)10.1109/ICEMIS.2017.8273103(1-7)Online publication date: May-2017
https://doi.org/10.1109/ICEMIS.2017.8273103
Fisher IGarnsey MHughes M(2016)Natural Language Processing in Accounting, Auditing and FinanceInternational Journal of Intelligent Systems in Accounting and Finance Management10.1002/isaf.138623:3(157-214)Online publication date: 1-Jul-2016
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Rajput AGurulingappa H(2013)Semi-automatic Approach for Ontology Enrichment Using UMLSProcedia Computer Science10.1016/j.procs.2013.10.01123(78-83)Online publication date: 2013
https://doi.org/10.1016/j.procs.2013.10.011
Ma YDistel F(2013)Learning Formal Definitions for Snomed CT from TextArtificial Intelligence in Medicine10.1007/978-3-642-38326-7_11(73-77)Online publication date: 2013
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Tsatsaronis GVarlamis IKanhabua NNørvåg K(2013)Temporal classifiers for predicting the expansion of medical subject headingsProceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I10.1007/978-3-642-37247-6_9(98-113)Online publication date: 24-Mar-2013
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Tutorial on ontological engineering Part 2: Ontology development, tools and languages

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Recommendations

Tutorial on ontological engineering Part 2: Ontology development, tools and languages

SWIDE: semantic web integrated development environment

Technology of ontology building for knowledge portals on humanities

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