The title of this talk borrows from the title of a chapter in a recently published book by Richard Smiraglia, Cultural Synergy in Information Institutions (7.9: What if There Were a Map?). The use of visualizations in the exploration of bodies of knowledge and for the organization of knowledge has a long history. Think in terms of the tree(s) of knowledge and large-scale maps of science (see Atlas of Science by Katy Börner). This talk introduces the work of a European network of research collaboration (a so-called COST Action) KnoweScape. KnoweScape explores how knowledge maps (from simple to sophisticated) can be made and applied to better understand, navigate, and curate collections held by libraries and archives. In terms of general research methodology, this talk is also a plea for creating overview prior to in-debt analysis and to seek for relative stable reference frameworks against which rapid changes of our knowledge can be interrogated. Looking at results produced by this community of scholars so far, it will become clear why the making of knowledge maps requires the collaboration of physicists, computer scientists, sociologists of knowledge, digital humanities scholars, and information scientists and professionals.
Seal of Good Local Governance (SGLG) 2024Final.pptx
If only I had a map!
1. Data AArrcchhiivviinngg aanndd NNeettwwoorrkkeedd SSeerrvviicceess
If only I had a map!
Andrea Scharnhorst
October 27, 2014
iSchool, University of Washington
DANS is an institute of KNAW and NWO
3. Andrea Scharnhorst – “science located”
•Head of Research&Innovation at DANS: Data Archiving and Networked Services
Institute
•Scientific coordinator of the Computational Humanities programme at the eHumanities
group of the Royal Netherlands Academy of Arts and Sciences (KNAW)
22000001 2010
@scharnhorsta
ResearchGate; Mendeley;
Academics.edu; LinkedIn
www.knowescape.org
4. Only use this slide to present a screenshot of an application.
As no style is applied, the screenshot can take up the whole
slide. For all other information please use the slide with
preset style!
scimaps.org – Katy Borner – Map maker: Klavans/Boyack
6. Epistemic landscape – Weisberg/Muldoch
Weisberg M, Muldoon R (2009) Epistemic landscapes and the division of cognitive labor. Philos
Sci 76(2):225–252 (DOI:10.1086/644786, stable JSTOR URL: http://www.jstor.org/stable/10.
1086/644786)
See also Payette N (2012) Agent-based models of science. In: Scharnhorst A, Börner K, van den Besselaar
P (eds) Models of science dynamics. Springer, Berlin, Ch 4, pp 127–158
7. Only use this slide to present a screenshot of an application.
As no style is applied, the screenshot can take up the whole
slide. For all other information please use the slide with
preset style!
13. Internet Science - EINS
Akdag Salah, A., Wyatt, S., Passi, S., & Scharnhorst, A. (2013). Mapping
EINS - An exercise in mapping the Network of Excellence in Internet
Science. In Conference Proceedings of the First International
Conference on Internet Science, April 9-11, 2013 Brussels (pp. 75–78).
Brussels: The FP7 European Network of Excellence in Internet Science.
Retrieved from http://arxiv.org/abs/1304.5753
15. Doorway to the Schola
Moralis Philosophiae
(School of Moral
Philosophy) at the
Bodleian Library
Wikipedia
16. Only use this slide to present a screenshot of an application.
As no style is applied, the screenshot can take up the whole
slide. For all other information please use the slide with
preset style!
Almila Akdag Sahal, Cheng Gao, Krzysztof Suckecki, Andrea Scharnhorst;
Places and Spaces, 7th Iteration, see http://www.scimaps.org/flat/exhibit_info/#7
17. Structure and evolution
Understanding the emergence of knowledge organization
and its meaning
18. 1930-44
# types 1915-29
1945-60 1961-83
Scharnhorst, A. (2001) Constructing Knowledge Landscapes within the Framework of Geometrically Oriented Evolutionary Theories.
In: Integrative Systems Approaches to Natural and Social Sciences. Ed. by M. Matthies, H. Malchow, J. Kriz. Springer, Berlin, pp.
505-515
19. Suchecki, Krzysztof, Almila Akdag Salah, Cheng Gao, and Andrea Scharnhorst. 2012. “Evolution of Wikipedia’s
Category Structure.” Advances in Complex Systems 15 (supp01): 1250068–1. doi:10.1142/S0219525912500683
20.
21. Only use this slide to present a screenshot of an application.
As no style is applied, the screenshot can take up the whole
slide. For all other information please use the slide with
preset style!
22. Knowledge maps
From sophisticated to simple – baseline statistics and
overview
23. Book space of models of science
Evolution And Struc...
Positions And Roles
Growing Artificial ...
Social Sciences
Models Of Science D...
Game Theory
Evolution Of Social...
A Course In Game Th...
The The New Production ... New Invisible C...
Patterns Of Scienti...
About Science
Invisible Colleges:...
The Professional Qu...
Science -- Social A...
Research
Science
Principles Of Econo...
Bibliometrics
Technological Innov...
Economics
Constructing Knowle...
Dynamical Processes...
Social Sciences -- ...
Agent-based Modelli...
An Inquiry Into The...
Analysing Scientifi...
Analysis Of Cross-d...
Approximate Dynamic...
Mathematics
Artificial Science:...
Behavioral Game The...
Bibliometrics And C...
Evolution
Bewertungen In Der ...
Re-thinking Science...
Science -- Philosophy
Scientific Cognitio...
Computational Philo...
Philosophy
System Theory
Creativity, Innovat...
Innovation
Cultural Boundaries...
Die Geschichte Des ...
Mathematical Models
Diffusion And Ecolo...
Diffusion Of Innova...
Dynamical Modeling ...
Einfuhrung In Die B...
Einfuhrung In Die S...
Elements Of Mathema...
Internet
Evolution And The T...
Evolution Of Moral ...
Social Networks
Evolutionare Spielt...
Evolutionary Dynami...
Evolutionary Episte...
Evolutionary Game T...
Evolutionary Models...
Exploratory Social ... Financial Networks:...
Generative Social S...
Handbook Of Stochas...
How Nature Works: T...
Internationalizatio...
Sociology
Knowledge Diffusion...
Linked Data: Evolvi...
Linked: The New Sci...
Little Science, Big...
Mathematical Biology
Mathematical Models...
Mathematical Models...
Models For Innovati...
Models For Longitud...
Network Analysis In...
Network Science
On Evolution
Opening Pandora's B...
Patents, Citations ...
Physik Der Evolutio...
Population Games An...
Power Laws In The I...
Prometheus Bound. S...
Quantity And Qualit...
Real Science. What ...
Scale-free Networks...
Science And Selecti...
Science As A Proces...
Science In Society
Science In Society....
Science Since Babylon
Scientific Communic...
Selbstorganisation ...
Selforganization: P...
Simulating Innovati...
Simulation For The ...
Social Network Anal...
Social Network Anal...
Social Stratificati...
Social Structures: ...
Social Systems
Stability And Compl...
The Advancement Of ...
The Citation Proces...
The Complexity Of C...
The Fokker-planck E...
The Intellectual An...
The Knowledge-based...
The Knowledge Creat...
The Laws Of The Web
The Logic Of Scient...
The Scientific Comm...
The Social Function...
The Sociology Of Sc...
The Statistical Eva...
The Structure And D...
The Structure Of Sc...
The Theory Of Games...
The Theory Of The I...
The Web Of Knowledg...
Theories Of Communi...
Theory Of Self-repr...
Toward A Metric Of ...
Weaving The Web: Th...
Znanstveno Raziskov...
Gwinda, Borner,
AS, 2014
25. Overview and exploration
Hoptrees: Branching
History Navigation for
Hierarchies. Michael
Brooks, Jevin D. West,
Cecilia R. Aragon, Carl T.
Bergstrom. INTERACT
2013. Cape Town, South
Africa.
26. Given the explosion of information how to navigate
to find what is needed?
Browse a collection
or a database
Map size, structure, composition
and evolution of the collection
Locate your search on such an
interactive knowledge map
• Domain overview for students, interdisciplinary
teams, lay experts and funding agencies
• Tools for scholars of history and philosophy of
science and bibliometrics
• Overview of BigData collections (incl. social media)
ANALYZING TTHHEE DDYYNNAAMMIICCSS OOFF
IINNFFOORRMMAATTIIOONN AANNDD KKNNOOWWLLEEDDGGEE
LLAANNDDSSCCAAPPEESS
27. Information professionals
•Collections, Information retrieval
•WG 1 Phenomenology of knowledge spaces
• WG 4 Data curation & navigation
Informa on Professionals/
Informa on Scien sts
Social Scien sts
Social scientists
•Simulating Computer user behavior
Scien sts
•WG 2 Theory Physics/of Mathema knowledge
cs
spaces
•WG 4 Data Digital curation Humani es
& navigation
Digital humanities scholars
•Collections, interactive design
•WG 3 Visual analytics – knowledge maps
•WG 4 Data curation & navigation
Computer scientists
•Semantic web, data models
•WG 1 Phenomenology of Knowledge Spaces
•WG 4 Data curation &navigation
Physicists, mathematicians
• Structure & evolution of
complex knowledge
spaces, big data mining
• WG 2 Theory of
knowledge spaces
• WG 3 Visual analytics –
PPaarrttiicciippaattiinngg ccoommmmuunniittiieess
knowledge maps
www.knowescape.org
Notas del editor
One of the basemaps of science – long journey – around the corner
Working both in DH and in archive
Career in terms of projects
Still books
Occupation in space of speed/take-off weight, because occupation is measured in terms of developed types = cognitive space of the engineers (if sold types -> economic space, market firmsta Bowman, Saviotti 1984
Cited in
Scharnhorst, A. (2001) Constructing Knowledge Landscapes within the Framework of Geometrically Oriented Evolutionary Theories. In: Integrative Systems Approaches to Natural and Social Sciences - Systems Science 2000. Ed. by M. Matthies, H. Malchow, J. Kriz. Springer, Berlin, pp. 505-515
Data come from saviotti, turned into an lansdcape, so far used a certain model frame to visualize in a specific way, no math yet, but different concepts can be discussed as variety vs growth, bifurcation