Knowledge maps for libraries and archives - uses and use cases

International UDC Seminar "Classification & Authority Control: Expanding Resource Discovery” , The National Library of Portugal in Lisbon, 29-30

October 2015.

Andrea Scharnhorst, eHumanities DANS/KNAW (Netherlands)Richard P. Smiraglia, University of Wisconsin, Milwaukee (USA)

Christophe Guéret, eHumanities DANS/KNAW (Netherlands)Alkim Almila Akdag Salah, eHumanities DANS/KNAW (Netherlands)

Our team – “science located”

Functions of Knowledge MapsRaising awarenessBeing used as reference system and for navigationBeing used in the process of data curation and management

Being used as heuristic device in research

Raising awarenesshttp://mtchl.net/tag/generousinterfaces/ http://www.slq.qld.gov.au/showcase/discover-the-queenslander#/grid

http://www.drasticdata.nl/ProjectDANSEasy/index.htm

Reference system and navigation

Data curation

Macroscopes as heuristic devices in research on the evolution of KOS

How is the collection of library situated in time and (topical) space?

What can we learn from the instantiation of UDC numbers is catalogue data

about the UDC?about the use of the UDC?via the UDC about the collection?

Former research

Comparison of the topical profile of Wikipedia/EN and UDC Evolution of the UDC according to the Master Reference Files Instantiations in libraries Sample of OCLC data (records with UDC numbers) Sample of the library KU Leuven

The Portuguese case PORBASE (the union catalogue of the Portuguese libraries)                 http://oai.bn.pt/servlet/OAIHandler                 set: porbase

Catálogo BNP (the catalogue of the BNP)                 http://oai.bn.pt/servlet/OAIHandler                 set: catalogo

BND domínio público (a dataset of the National Digital Library public domain files)                 http://oai.bn.pt/servlet/OAIHandler                 set: bndlivre

Courtesy of the BNP, thanks to Maria Ines Cordeiro

Baseline statisticsData set # records #records with

a xxxx year format

#records with more than one UDC

classBNP porbase 1 115 278 520 412 349 029

BNP catalogo 877 677 338 505 369 718

BNP bndlivre 21 526 2 670 12 437

BND – The National Digital Library of Portugal

Arts. Entertainment. Sport

Geography. History

PORBASE – The Portuguese Union Catalog

Social Sciences

Applied Sciences. Medicine, Technology

Linguistics. Literature

Comparing profiles - Publication Dates

Dates in the WorldCat ranged from 1714 to 2009, with the majority clustered between 1973 and 2009.Dates in Leuven ranged from 1599 to 2011, with the majority post-dating 1960. Dates in PORBASE start end of the the 19th century, with most entries between 1960 and 2000.In the BNP we see a wider spectrum of years: 1700, 1775, 1825 and 1900 and with peaks in 1875 and 2000.Records from the BND span the period between1500 and 2000, with the largest number of records in the years 1875 and 2000.

UDC Main Classes – across setsIn the WorldCat all main classes occurred1 and 2 (4%); 0 5 7 9 (8-10%); 3 (22%), 6 (18%), 8 (16%)

In Leuven8, 1, (1-2%); 7, 9, 5 (8-11%); 6 (16%), 2 (18%), 3 (21%)

PORBASE 3 is the largest UDC class, 6, 7, 8, 9, 0 have much smaller number of records, few can be found in 1 or 2

BNPMost of the UDC numbers are in class 9 and almost as many in class 7, small groups in classes 3 and 6, very few in 0, 1, 2 and 8

BNDMost records are in 9 and 7, and a small batch can be found in 3.

0 = Science and Knowledge….1 = Philosophy, Psychology2 = Religion. Theology3 = Social sciences5 = Mathematics, Natural sciences6 = Applied sciences, Medicine, Technology7 = Arts, Entertainment, Sports8 = Linguistics, Literature9 = Geography, History

Network of UDC classes

+ Coordination. Addition / Consecutive extension: Simple relation

Conclusions (I) – functions of visual explorations and knowledge maps Curation and management

Showcasing and raising awareness

Navigation

Research

Conclusions II – functions of visual explorations and knowledge maps Research

Structure and evolution of KOS – large scale and comparative analysis

New ways for library statistics, and Library Catalogue Analysis

Big Data analysis (incl. visual analytics) to curate ‘messy data’

Topical analysis, Science Dynamics and Digital Humanities

Ginda, Börner,Scharnhorst 2015

www.knowescape.org

References• Börner, Katy (2010) Atlas of Science, MIT Press; ~ (2014) Atlas of Knowledge, MIT Press

• Scharnhorst, A. (2015). Walking through a library remotely. Why we need maps for collections and how KnoweScape can help us to make them. Les Cahiers Du Numérique, 11(1), 103–127. doi:10.3166/lcn.11.1.103-127

• Smiraglia, R. P., Scharnhorst, A., Akdag Salah, A., & Gao, C. (2013). UDC in Action. In A. Slavic, A. Akdag Salah, & S. Davies (Eds.), Classification and visualization: interfaces to knowledge (pp. 259–270). Würzburg: Ergon Verlag. Preprint available at http://arxiv.org/abs/1306.3783

• Akdag Salah, Almila, Cheng Gao, Krzysztof Suchecki, Andrea Scharnhorst, and Richard P. Smiraglia. 2012. “The Evolution of Classification Systems: Ontogeny of the UDC.” In Categories, Contexts and Relations in Knowledge Organization: Proceedings of the Twelfth International ISKO Conference 6-9 August 2012 Mysore, India, ed. A. Neelameghan and K.S. Raghavan, 51–57. Würzburg: Ergon Verlag.

• Ginda, M., Scharnhorst, A., & Borner, K. (2015). Modelling the Structure and Dynamics of Science Using Books. Digital Libraries; Physics and Society. Retrieved from http://arxiv.org/abs/1503.03287 (preprint)

• Christine L. Borgman, Andrea Scharnhorst, Henk Van den Berg, Herbert Van de Sompel, and Andrew Treloar. "Who Uses the Digital Data Archive? An Exploratory Study of DANS" Information Today (2015).