Vishal Gupta + Anita de Waard at AI Mashup session at ESWC2010

1. Elsevier- Open to Accelerate Science
The Future of the Journal, and
Applications in an Open Scientific Ecosystem
Anita de Waard , a.dewaard@elsevier.com
Disruptive Technologies Director, Elsevier Labs
Vishal Gupta, v.gupta@elsevier.com
Head of Developer Programs, Elsevier
7th Extended Semantic Web Conference
May 31, 2010

2. Science is made of information...
2

3. Science is made of information...
...that gets created...
2

4. Science is made of information...
...that gets created... ... and destroyed.
2

5. What is the problem?
3

6. What is the problem?
1. Researchers can’t keep track of their data.
3

7. What is the problem?
1. Researchers can’t keep track of their data.
2. Data is not stored in a way that is easy for authors.
3

8. What is the problem?
1. Researchers can’t keep track of their data.
2. Data is not stored in a way that is easy for authors.
3. For readers, article text is not linked to the underlying data.
3

9. Workflow tools to the rescue!
4

10. Workflow tools to the rescue!
http://MyExperiment.org
4

11. Workflow tools to the rescue!
http://VisTrails.org
http://MyExperiment.org
4

12. Workflow tools to the rescue!
http://VisTrails.org
http://MyExperiment.org
http://wings.isi.edu/
4

13. The Vision Work done with Ed Hovy, Phil Bourne,
Gully Burns and Cartic Ramakrishnan
5

14. The Vision Work done with Ed Hovy, Phil Bourne,
Gully Burns and Cartic Ramakrishnan
All data items created in the lab are added
to the workflow system.
5

15. The Vision Work done with Ed Hovy, Phil Bourne,
Gully Burns and Cartic Ramakrishnan
All data items created in the lab are added
to the workflow system.
Each item in the system has metadata
(including provenance) and relations
to other data items added to it.
5

16. The Vision Work done with Ed Hovy, Phil Bourne,
Gully Burns and Cartic Ramakrishnan
All data items created in the lab are added
to the workflow system.
Each item in the system has metadata
(including provenance) and relations
to other data items added to it.
When a paper is published, a slice of this
information is exposed to the world. It
remains connected to its related data item,
and its heritage can be traced.
Rats were subjected to two grueling tests...
see figure 2 for more details (click on
figure to see data)
5

17. The Vision Work done with Ed Hovy, Phil Bourne,
Gully Burns and Cartic Ramakrishnan
All data items created in the lab are added
to the workflow system.
Each item in the system has metadata
(including provenance) and relations
to other data items added to it.
When a paper is published, a slice of this
information is exposed to the world. It
remains connected to its related data item,
and its heritage can be traced.
Rats were subjected to two grueling tests...
Applications run on this ‘exposed data’
Rats were subjected to two grueling tests...
Rats were subjected to two grueling tests...
see figure 2 for more details (click on
universe.
see figure data) more details (click on
2 for
figure to figure 2 for more details (click on
see see
figure to see data)
figure to see data)
Some other publisher
5

18. The vision (same thing, now in words):
6

19. The vision (same thing, now in words):
1. All data items created in the lab (including all measurements,
graphs, emails, talks: everything!) gets included in a workflow
system.
6

20. The vision (same thing, now in words):
1. All data items created in the lab (including all measurements,
graphs, emails, talks: everything!) gets included in a workflow
system.
2. Each item in the system has a proper set of tags - including
identification of provenance and authorship - and relations to
other data items.
6

21. The vision (same thing, now in words):
1. All data items created in the lab (including all measurements,
graphs, emails, talks: everything!) gets included in a workflow
system.
2. Each item in the system has a proper set of tags - including
identification of provenance and authorship - and relations to
other data items.
3. When a paper is published, a slice of this information is exposed
to the world. It remains connected to its related data item, and its
heritage can be traced.
6

22. The vision (same thing, now in words):
1. All data items created in the lab (including all measurements,
graphs, emails, talks: everything!) gets included in a workflow
system.
2. Each item in the system has a proper set of tags - including
identification of provenance and authorship - and relations to
other data items.
3. When a paper is published, a slice of this information is exposed
to the world. It remains connected to its related data item, and its
heritage can be traced.
4. Applications run on this ‘exposed data’ universe.
6

23. The vision (same thing, now in words):
1. All data items created in the lab (including all measurements,
graphs, emails, talks: everything!) gets included in a workflow
system.
2. Each item in the system has a proper set of tags - including
identification of provenance and authorship - and relations to
other data items.
3. When a paper is published, a slice of this information is exposed
to the world. It remains connected to its related data item, and its
heritage can be traced.
4. Applications run on this ‘exposed data’ universe.
5. Everything lives in the cloud.
6

24. What is needed to get there?
7

25. What is needed to get there?
A. Tools: Workflow tools that work for all science, are
scalable, safe, and user-friendly
7

26. What is needed to get there?
A. Tools: Workflow tools that work for all science, are
scalable, safe, and user-friendly
B. Metadata standards: Standards that allow
interoperable exchange of information on any
knowledge item created in a lab, including provenance
and privacy/IPR rights
7

27. What is needed to get there?
A. Tools: Workflow tools that work for all science, are
scalable, safe, and user-friendly
B. Metadata standards: Standards that allow
interoperable exchange of information on any
knowledge item created in a lab, including provenance
and privacy/IPR rights
C. Social change: Scientists need to realize they should
annotate their work
7

28. What is needed to get there?
A. Tools: Workflow tools that work for all science, are
scalable, safe, and user-friendly
B. Metadata standards: Standards that allow
interoperable exchange of information on any
knowledge item created in a lab, including provenance
and privacy/IPR rights
C. Social change: Scientists need to realize they should
annotate their work
D. Semantic/Linked Data space at the publisher end.
7

29. What is needed to get there?
A. Tools: Workflow tools that work for all science, are
scalable, safe, and user-friendly
B. Metadata standards: Standards that allow
interoperable exchange of information on any
knowledge item created in a lab, including provenance
and privacy/IPR rights
C. Social change: Scientists need to realize they should
annotate their work
D. Semantic/Linked Data space at the publisher end.
7

30. What is needed to get there?
A. Tools: Workflow tools that work for all science, are
scalable, safe, and user-friendly
B. Metadata standards: Standards that allow
interoperable exchange of information on any
knowledge item created in a lab, including provenance
and privacy/IPR rights
C. Social change: Scientists need to realize they should
annotate their work
D. Semantic/Linked Data space at the publisher end.
E. Publishing systems that run as application servers.
7

31. What is needed to get there?
A. Tools: Workflow tools that work for all science, are
scalable, safe, and user-friendly tool builders
B. Metadata standards: Standards that allow
interoperable exchange of information on any
knowledge item created in a lab, including provenance
and privacy/IPR rights standards bodies
C. Social change: Scientists need to realize they should
annotate their work institutes, funding bodies, individuals
D. Semantic/Linked Data space at the publisher end.
E. Publishing systems that run as application servers.
7

32. What is needed to get there?
A. Tools: Workflow tools that work for all science, are
scalable, safe, and user-friendly tool builders
B. Metadata standards: Standards that allow
interoperable exchange of information on any
knowledge item created in a lab, including provenance
and privacy/IPR rights standards bodies
C. Social change: Scientists need to realize they should
annotate their work institutes, funding bodies, individuals
D. Semantic/Linked Data space at the publisher end.
publishers
E. Publishing systems that run as application servers.
7

33. What is needed to get there?
A. Tools: Workflow tools that work for all science, are
scalable, safe, and user-friendly tool builders
B. Metadata standards: Standards that allow
interoperable exchange of information on any
knowledge item created in a lab, including provenance
and privacy/IPR rights standards bodies
C. Social change: Scientists need to realize they should
annotate their work institutes, funding bodies, individuals
D. Semantic/Linked Data space at the publisher end.
publishers
E. Publishing systems that run as application servers.
publishers
7

34. What is needed to get there?
A. Tools: Workflow tools that work for all science, are
scalable, safe, and user-friendly tool builders
B. Metadata standards: Standards that allow
interoperable exchange of information on any
knowledge item created in a lab, including provenance
and privacy/IPR rights standards bodies
C. Social change: Scientists need to realize they should
annotate their work institutes, funding bodies, individuals
D. Semantic/Linked Data space at the publisher end.
publishers
E. Publishing systems that run as application servers.
publishers
7

35. Linked Data for Elsevier
10
8

36. Linked Data for Elsevier
<ce:section id=#123>
10
8

37. Linked Data for Elsevier
this says
<ce:section id=#123> mice like cheese
10
8

38. Linked Data for Elsevier
said @anita
on May 31 2010
this says
<ce:section id=#123> mice like cheese
10
8

39. Linked Data for Elsevier
but we all know
she was jetlagged then
said @anita
on May 31 2010
this says
<ce:section id=#123> mice like cheese
10
8

40. Linked Data for Elsevier
immutable, $$, proprietary
but we all know
she was jetlagged then
said @anita
on May 31 2010
this says
<ce:section id=#123> mice like cheese
10
8

41. Linked Data for Elsevier
immutable, $$, proprietary dynamic, personal, task-driven, - open?
but we all know
she was jetlagged then
said @anita
on May 31 2010
this says
<ce:section id=#123> mice like cheese
10
8

42. Semantic annotation grid
11
9

43. Semantic annotation grid
11
9

44. Granularity Semantic annotation grid
collection
document
claim
triple
entity
11
9

45. Granularity Semantic annotation grid
collection
document
claim
triple
entity
Moment
measure author/editor typesetter/production reader/data minin
11
9

46. Granularity Semantic annotation grid
collection
document
claim
triple
entity
Moment
measure author/editor typesetter/production reader/data minin
Meansmanual
semi-automated
automated11
9

47. Granularity Semantic annotation grid
collection
document
claim
triple Automated Copy Editing
entity
Moment
measure author/editor typesetter/production reader/data minin
Meansmanual
semi-automated
automated11
9

48. Granularity Semantic annotation grid
collection
document
claim
triple Automated Copy Editing
entity
Moment
measure author/editor typesetter/production reader/data minin
Reflect
Meansmanual
semi-automated
automated11
9

49. .XMP RDF in all our PDFs: DC + PRISM
12
10

50. Scientific Applications, Open APIs
and a New Publishing Ecosystem

51. “ If I were to guess what Web 3.0 is, I would tell you that it’s a different
way of building applications…
My prediction would be that Web 3.0 will ultimately be seen as
applications which are pieced together.
There are a number of characteristics: the applications are relatively
small, the data is in the cloud, the applications can run on any device,
PC or mobile phone, the applications are very fast and they’re very
customizable.
Furthermore, the applications are distributed virally: literally by social
networks, by email. You won’t go to the store and purchase them…
That’s a very different application model than we’ve ever seen in
computing. ”
- Eric Schmidt
CEO Google

52. We conducted
3,000 interviews
with researchers,
librarians and
developers

53. Librarian feedback
“This is just amazing. What
faculty is really after is for
something that ties this all
together, so it’s all in one place.
This makes it really easy for
them.”

54. Researcher feedback
“Apps (interacting) with results are
very important to help save time...
apps integrated into article such as
the
pop-up example is also very
interesting…”

55. Developer feedback
“Holy ****…you are clearly aware
of what the web really looks like,
I’m very impressed with that. I
haven’t seen anything so far that
comes anywhere close to what you
have done …I would love to help
out in any capacity…”
19

56. Open APIs for applications

57. Developers can gain recognition and revenues

58. Institutions can become focal point for
applications

59. Researchers can save time, improve their
information discovery process and innovate

60. An ecosystem open to accelerate science

64. App Integration in Science Direct

70. Thank You
Anita de Waard