Friday, December 20, 2013

Information Visualization MOOC > Begins January 28 2014


This course provides an overview about the state of the art in information visualization. It teaches the process of producing effective visualizations that take the needs of users into account.

This year, the course can be taken for three Indiana University credits as part of the Online Data Science Program just announced by the School of Informatics and Computing. Students interested in applying to the program can find more information here.

Among other topics, the course covers:

  • Data analysis algorithms that enable extraction of patterns and trends in data
  • Major temporal, geospatial, topical, and network visualization techniques
  • Discussions of systems that drive research and development
Everyone who registers gains free access to the Scholarly Database (26 million paper, patent, and grant records) and the Sci2 Tool (100+ algorithms and tools).


The 2014 course will begin on Tuesday, January 28, 2014. We will announce the precise schedule in the coming weeks.

Students will again have the opportunity to collaborate with their peers to complete data visualization assignments from real-world clients. [snip]

Note: Open To All 

Source and Links Available At:


Tuesday, November 26, 2013

A/V Now Available > Classification and Visualization: Interfaces to Knowledge > International UDC Seminar, 24-25 October 2013, The Hague, The Netherlands

Classification and visualization: Interfaces to knowledge: proceedings of the International UDC Seminar, 24-25 October 2013, The Hague, The Netherlands. Edited by Aida Slavic, Almila Akdag Salah & Sylvie Davies. Würzburg: Ergon Verlag, 2013.

Table of Contents


W. Boyd Rayward

From the index card to the World City: knowledge organization and  visualization in the work and ideas of Paul Otlet

1. Challenges in visualization of knowledge
  • Scott B. Weingart / From trees to webs: uprooting knowledge through visualization 
  • Charles van den Heuvel; Richard Smiraglia / Visualizing knowledge interaction in the multiverse of knowledge 
  • Xia Lin; Jae-wook Ahn / Challenges of knowledge structure visualization 
2. Categorisation for retrieval, exploration and learning
  • Lev Manovich /  Looking at one million images: how visualization of big cultural data 
  • helps us to unlearn our cultural categories
  • Kathryn La Barre / Sempre avanti? Some reflections on faceted interfaces
  • Nathalie Pinède; Véronique Lespinet-Najib / How can users get the gist of a taxonomy using tag clouds? 
3. Classification, interfaces and information architecture
  • Luca Rosati / How to design interfaces for choice: Hick-Hyman law and classification for information architecture
  • Andrea Resmini Ghost in the shell: navigation, meaning and place-making 
  • in information space
4. Visualization and navigation of knowledge structures
  • Bin Yang; Jean-Gabriel Ganascia / Memory Islands: an approach to cartographic visualization
  • Daniel Hienert; Dennis Wegener; Siegfried Schomisch / Exploring semantically-related concepts from  Wikipedia: the case of SeRE  Dario Rodighiero; Giorgio De Michelis
  • The Homer’s list or How classifications can be displayed on tablets 
5. Indexing languages, relationships and visualization
  • Rebecca Green; Diane Vizine-Goetz; Marcia Lei Zeng, Maja Žumer / From modelling to visualization of topic relationships in classification schemes 
  • Wei Fan; Shuqing Bu; Qing Zou / Semantic visualization for subject authority data of  Chinese Classified Thesaurus 
  • Špela Razpotnik; Alenka Šauperl / Enhancing user browsing success through visualization of indexing terms
6. Visualization in collection searching and browsing
  • Claudio Gnoli; Alberto Cheti / Sorting documents by base theme with synthetic classification: the double query method 
  • Fabrice Papy / Classification and visualization: augmenting user independence and enhancing collections use
  • Marcel Worring / Easy categorisation of large image collections by automatic analysis and information visualization
7. Visualizing analytics of classification and collection metadata
  • Matthew Battles; Yanni Loukissas / Data artefacts: tracking knowledge-ordering conflicts through visualization
  • Richard Smiraglia; Andrea Scharnhorst; Almila Akdag Salah, Cheng Gao / UDC in action
Posters - Short papers
  • Veslava Osinska; Joanna Dreszer-Drogorob; Grzegorz Osinski; Michal 
  • Gawarkiewicz / Cognitive approach in classification visualization: end-user study
  • Nuno Freire / Visualization and navigation of knowledge in pan-European 283
  • resources: the case of The European Library





Sunday, October 6, 2013

Code4Lib Journal > On Dentographs, A New Method of Visualizing Library Collections

The Code4Lib Journal

A dentograph is a visualization of a library’s collection built on the idea that a classification scheme is a mathematical function mapping one set of things (books or the universe of knowledge) onto another (a set of numbers and letters). Dentographs can visualize aspects of just one collection or can be used to compare two or more collections. This article describes how to build them, with examples and code using Ruby and R, and discusses some problems and future directions.

Checkerboard dentographs of the Toronto and San Francisco Public Libraries

Source and Full Text Available At:

Friday, September 6, 2013

Artemis > New Age Navigation Is Here and Now !

Gale Artemis is a groundbreaking research environment that integrates formerly disparate digital collections to enable innovative research. Gale Artemis provides an unprecedented, seamless research experience that helps students find a starting point, search across a wide array of materials and points in time, and discover new ways to analyze information.

Gale Artemis not only integrates full-text content with metadata and subject indexing, it also provides workflow tools to analyze information. Here are just a few of the revolutionary ways Gale Artemis will change the way users research:

Subject Indexing. The addition of detailed subject indexing aids content discovery across collections, drawing connections that simple search and retrieve cannot achieve—revealing related concepts and terms to expand thinking and exploration.

Term Clusters. Users can see topics that commonly occur in relation to their search term, which helps uncover hidden connections, or can be a helpful starting point in the early stages of research.
Term Frequency. This allows users to see the frequency of their search term(s) in the content over time, which can suggest the importance of particular concepts during given periods. Now, users can ask new questions of historical data e.g. Is there a connection between “bread” and “revolution”?

Term Clusters

Source and Links (Except Screen Shots) Available At:

Artimemis Video Tutorials Available At 


Tuesday, August 27, 2013

Regarding The-3-Click-Dilemma


I much appreciate your latest Chronicle posting:

The-3-Click-Dilemma: are library databases nearing the tipping point of obsolescence?


I am pleased that you (and others) are realizing the limitations of Linear Searching (as opposed to what I would characterize as True Navigation [:-)]).

As you may be aware, I've long been interested Sensory Information Navigation(SINs);

See my Morning Becomes Electric:Post-Modern Scholarly Information Access, Organization, and Navigation



As the World (Wide Web) Turns: Resources at Iowa State


I've been particularly interested in Information Visualization, among other SINs.

See my

The Big Picture(sm):Visual Browsing in Web and non-Web Databases


Several years ago I wrote a review article on IV and e-Journals titled:

"New Age Navigation:Innovative Information Interfaces for Electronic Journals"


IMHO > Certainly with increased bandwidth and processing speeds, are we not now on the verge of navigating Databases via Sensory Information Navigation as well ?

Note: I am aware of one effort (EBSCOHost )

Your Thoughts ?


Gerry McKiernan
Associate Professor
Science and Technology Librarian
Iowa State University
152 Parks
Ames IA 50011

Tuesday, July 30, 2013

Listen to Wikipedia

Listen to Wikipedia
Posted by Stephen LaPorte on July 30, 2013

Listen to Wikipedia is a visual and audio illustration of live editing activity on Wikipedia. Tune your headphones or speakers accordingly and enjoy the sound of people writing the free online encyclopedia.

Listen to Wikipedia creates sounds and circles based on a real-time feed of contributions to Wikipedia articles. The pitch of the note corresponds to the size of the edit — a bigger change makes a deeper note and a larger circle. A bell indicates when content is added to the encyclopedia and a string sound indicates when content is removed. Edits by unregistered contributors are marked with green circles and edits by automated bots are marked with purple circles. Occasionally, you may hear a chord welcoming the newest user who registers and joins the project.

Go ahead, make some noise by editing Wikipedia!

This project is a follow up to the Recent Changes Map visualization, which displays edits by unregistered users around the world. Both the Recent Changes Map and Listen to Wikipedia are based on Wikipedia’s live public data feed. Source code and additional information about this project are available on github. Listen to Wikipedia was inspired by and partially based on Listen to Bitcoin by Maximillian Laumeister

Source and Link Available At: