Walking through a library remotely - Why we need maps for collections and how KnoweScape can help us to make them?

There is no escape from the expansion of information, so that structuring and locating meaningful knowledge becomes ever more difficult. The question of how to order our knowledge is as old as the systematic acquisition, circulation, and storage of knowledge. Classification systems have been known since ancient times. On the Internet, one finds both classifications and taxonomies designed by information professionals and folksonomies based on social tagging. Nevertheless, a user navigating through large information spaces is still confronted with a text based search interface and a list of hits as outcome. There is still an obvious gap between a physical encounter with, for example, a librarys collection and browsing its content through an on-line catalogue. This paper starts from the need of digital scholarship for effective knowledge inquiry, revisits traditional ways to support knowledge ordering and information retrieval, and introduces into a newly funded research network where five different communities from all corners of the scientific landscape join forces in a quest for knowledge maps. It can be read as a manifesto for a newly funded specific research network KnoweScape. At the same time it is a general reflection about what one has to take into account when representing structure and evolution of data, information and knowledge and designing instruments to help scholars and others to navigate across the lands and oceans of knowledge.

[1]  Katy Börner,et al.  Visual conceptualizations and models of science , 2009, J. Informetrics.

[2]  B. Latour,et al.  Laboratory Life: The Construction of Scientific Facts , 1979 .

[3]  Andreas Holzinger,et al.  Visual Insights: A Practical Guide to Making Sense of Data , 2014, Online Inf. Rev..

[4]  Andrew Prescott Made in Sheffield: industrial perspectives on the digital humanities , 2014 .

[5]  Benjamin F. Jones,et al.  Supporting Online Material Materials and Methods Figs. S1 to S3 References the Increasing Dominance of Teams in Production of Knowledge , 2022 .

[6]  Aida Slavic,et al.  Classification & Visualization: Interfaces to Knowledge. Proceedings of the International UDC Seminar 24-25 October 2013 the Hague, the Netherlands , 2013 .

[7]  W. Boyd Rayward,et al.  Facing interfaces: Paul Otlet's visualizations of data integration , 2011, J. Assoc. Inf. Sci. Technol..

[8]  Anne Beaulieu,et al.  Exploring Uncertainty in Knowledge Representations: Classifications, Simulations, and Models of the World , 2012 .

[9]  Marga van Meel,et al.  Using a CRIS for e-Infrastructure: e-Infrastructure for Scholarly Publications , 2010, Data Sci. J..

[10]  Andrea Scharnhorst,et al.  Significance of visual interfaces in institutional and user-generated databases with category structures , 2012, PATCH '12.

[11]  Nancy E. Barr,et al.  Redesigning library services: A manifesto , 1993 .

[12]  P. Wouters The citation culture , 1999 .

[13]  P. N. Edwards,et al.  Knowledge Infrastructures: Intellectual Frameworks and Research Challenges , 2013 .

[14]  Andrea Bergmann,et al.  Citation Indexing Its Theory And Application In Science Technology And Humanities , 2016 .

[15]  Ludo Waltman,et al.  Vos: A New Method for Visualizing Similarities between Objects , 2006, GfKl.

[16]  Richard P. Smiraglia The Elements of Knowledge Organization , 2014, Springer International Publishing.

[17]  Ying Ding,et al.  VIVO: A Semantic Approach to Scholarly Networking and Discovery , 2012, Synthesis Lectures on the Semantic Web.

[18]  Katy Börner,et al.  Plug-and-play macroscopes , 2011, Commun. ACM.

[19]  Frank Schweitzer,et al.  Brownian Agents and Active Particles: Collective Dynamics in the Natural and Social Sciences , 2003 .

[20]  Cheng Gao,et al.  Evolution of Wikipedia's Category Structure , 2012, ArXiv.

[21]  Timothy R. Tangherlini The Folklore Macroscope: Challenges for a Computational FolkloHstics , 2013 .

[22]  Bethina Schmitt,et al.  Visual Interfaces to Digital Libraries , 2002, Lecture Notes in Computer Science.

[23]  Philipp Mayr,et al.  KMIR 2014 - Knowledge Maps and Information Retrieval : Proceedings of the First Workshop on Knowledge Maps and Information Retrieval co-located with International Conference on Digital Libraries 2014 - ACM/IEEE Joint Conference on Digital Libraries (JCDL 2014) , 2014 .

[24]  Christine L. Borgman,et al.  Why Are Online Catalogs Still Hard to Use? , 1996, J. Am. Soc. Inf. Sci..

[25]  Marc Bron,et al.  Exploration and contextualization through interaction and concepts , 2013 .

[26]  Cheng Gao,et al.  Need to Categorize: A Comparative Look at the Categories of Universal Decimal Classification System and Wikipedia , 2011, Leonardo.

[27]  Tony Becher,et al.  Academic Tribes and Territories: Intellectual Enquiry and the Cultures of Disciplines , 2001 .

[28]  Marcel Ausloos,et al.  On the genre-fication of music: a percolation approach , 2005, ArXiv.

[29]  V. Larivière,et al.  Design and Update of a Classification System: The UCSD Map of Science , 2012, PloS one.

[30]  P. Sandstrom An Optimal Foraging Approach to Information Seeking and Use , 1994, The Library Quarterly.

[31]  M. Nentwich Cyberscience: Research in the Age of the Internet , 2003 .

[32]  Everard Christiaan Marie Noyons,et al.  Bibliometric mapping as a science policy and research management tool , 1999 .

[33]  Ben Shneiderman,et al.  Visualizing digital library search results with categorical and hierarchical axes , 2000, DL '00.

[34]  Betti GlamMap: visualising library metadata , 2014 .

[35]  Ben Shneiderman,et al.  Dynamic queries for visual information seeking , 1994, IEEE Software.

[36]  Nathaniel Tkacz,et al.  Critical point of view: a Wikipedia reader , 2012 .

[37]  Kevin W. Boyack,et al.  Mapping the backbone of science , 2004, Scientometrics.

[38]  Vladimir Batagelj,et al.  Exploratory Social Network Analysis with Pajek , 2005 .

[39]  Jean-Loup Guillaume,et al.  Fast unfolding of communities in large networks , 2008, 0803.0476.

[40]  Andrea Scharnhorst,et al.  Generating Ambiguities: Mapping Category Names of Wikipedia to UDC Class Numbers , 2011 .

[41]  Xi Niu Beyond text queries and ranked lists:Faceted search in library catalogs , 2012 .

[42]  R. Perrucci,et al.  From Little Science to Big Science , 2017 .

[43]  W. Bijker Sociohistorical technology studies , 1994 .

[44]  Christine L. Borgman,et al.  Why are online catalogs still hard to use , 1996 .

[45]  J. Dijck The Culture of Connectivity: A Critical History of Social Media , 2013 .

[46]  Jenny Fry,et al.  Scholarship in the Digital Age: Information, Infrastructure, and the Internet , 2010, J. Assoc. Inf. Sci. Technol..

[47]  S. Galam Sociophysics: A Physicist's Modeling of Psycho-political Phenomena , 2012 .

[48]  Diane Rasmussen Neal,et al.  Atlas of Science: Visualizing What We Know , 2011, J. Assoc. Inf. Sci. Technol..

[49]  John M. Swales,et al.  Consilience: The Unity of Knowledge , 1999 .

[50]  W. Boyd Rayward,et al.  The Origins of Information Science and the International Institute of Bibliography/International Federation for Information and Documentation (FID) , 1997, J. Am. Soc. Inf. Sci..

[51]  I. C. McIlwaine Universal Decimal Classification (UDC) , 2009 .

[52]  Cecilia R. Aragon,et al.  Hoptrees: Branching History Navigation for Hierarchies , 2013, INTERACT.

[53]  Anne Beaulieu,et al.  Virtual Knowledge. Experimenting in the Humanities and the Social Sciences. , 2013 .