lecture presented at Ento.CH, Neuchâtel, Switzerland; March 4, 2016. Developing a scenario for the future of the Mitteilungen der Schweizerischen Entomologischen Gesellschaft into the direction of semantically enhanced publications.
4. Communication
Why do we publish?
• Communication
• Documentation: Building up knowledge
• Attribution: getting credit
• Citation: give credit and references
• Ego
• Career
5. Print: 1450
The Origins of the Mitteilungen (1862)
• Print
• Printer produces print
• Ship by mail
• Library
• Bibliographic citation
6. PDF: 1993
The Begin of the Digital Age of the Mitteilungen: 2006
• Print and PDF (Portable Document Format)
• Editor produces print ready PDF
• Ship by mail / email
• Library / online library (digital archive)
• Bibliographic citation
14. DOI Anbieter: ETHZ / Retroseal / Zenodo
DOI provider Retro.seals Zenodo/ BLR
For MSEG legacy
publications
yes no (yes)
For prospective
publications
no yes
15. The future
Beyond the PDF:
from unstructured document to structured, linked, open data
26. Observation
record 1
Treatment Article
digital object
BarCode
Data, content (not only
metadata)
Each element is defined by a
vocabulary/ontology
Name (eg
Zoobank)
Cited
Treatments
Cited Articles
Identifiers
Observation
record 2
Treatment
digital object
BarCode
Name (eg
Zoobank)
Cited
Treatments
Observation
record4
TreatmentArticle
digitalobject
BarCode
Name(eg
Zoobank)
Cited
Treatments
Observation
record3
Treatment
digitalobject
BarCode
Name(eg
Zoobank)
Cited
Treatments
Observation
recordn+1
TreatmentArticle
digitalobject
BarCode
Name(eg
Zoobank)
Cited
Treatments
Observation
recordn
Treatment
digitalobject
BarCode
Name(eg
Zoobank)
Cited
Treatments
Observation
record 5
digital object
BarCode
Trait
27. The «Mehlwurm» lives in dry bread... or the potential of LOD
has traits
is part of
refers to
has traits
“The larva of the mealworm lives in dry
bread and can be eaten in Switzerland”
Bridging the gap from name to literature
or text and data mining
28. The near future
Collaboration with ContentMine to extract treatments on a daily
basis
http://www.slideshare.net/petermurrayrust/?
BioDiv
29. The future
How to get there?
from unstructured document to structured, linked, open data
30. Treatment
?
structureed
Treatment
(1)
Journal run
Atrticle
Treatment
vendor
scientist
Scientist / crowd
Vendor - level
General
markup
structured
treatment (2)
and data
markup programs
services
Domain -
level
Domain specific
markup
Publication
legacyprospective
Taxpub (1)
(zookeys)
Taxpub (2) BDJ
scripting scientist
scientist
crowd
Work Data Work OpenAccess
Publication conversion workflows
31. The future
Where is the future of the Mitteilungen?
It is up to the SEG …
To be considered:
• Outreach
• Costs
• Legacy publications