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Proposed actions are no actions: re-modeling an ontology design pattern with a realist top-level ontology

Overview of attention for article published in Journal of Biomedical Semantics, September 2012
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Title
Proposed actions are no actions: re-modeling an ontology design pattern with a realist top-level ontology
Published in
Journal of Biomedical Semantics, September 2012
DOI 10.1186/2041-1480-3-s2-s2
Pubmed ID
Authors

Djamila Seddig-Raufie, Ludger Jansen, Daniel Schober, Martin Boeker, Niels Grewe, Stefan Schulz

Abstract

Ontology Design Patterns (ODPs) are representational artifacts devised to offer solutions for recurring ontology design problems. They promise to enhance the ontology building process in terms of flexibility, re-usability and expansion, and to make the result of ontology engineering more predictable. In this paper, we analyze ODP repositories and investigate their relation with upper-level ontologies. In particular, we compare the BioTop upper ontology to the Action ODP from the NeOn an ODP repository. In view of the differences in the respective approaches, we investigate whether the Action ODP can be embedded into BioTop. We demonstrate that this requires re-interpreting the meaning of classes of the NeOn Action ODP in the light of the precepts of realist ontologies.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 8%
Germany 1 8%
Unknown 11 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 23%
Student > Master 3 23%
Student > Ph. D. Student 2 15%
Student > Bachelor 1 8%
Lecturer 1 8%
Other 1 8%
Unknown 2 15%
Readers by discipline Count As %
Computer Science 4 31%
Medicine and Dentistry 3 23%
Agricultural and Biological Sciences 1 8%
Biochemistry, Genetics and Molecular Biology 1 8%
Engineering 1 8%
Other 0 0%
Unknown 3 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 October 2012.
All research outputs
#20,656,820
of 25,374,917 outputs
Outputs from Journal of Biomedical Semantics
#303
of 368 outputs
Outputs of similar age
#147,753
of 189,238 outputs
Outputs of similar age from Journal of Biomedical Semantics
#5
of 13 outputs
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So far Altmetric has tracked 368 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 6th percentile – i.e., 6% of its peers scored the same or lower than it.
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