1 / 14

Bibliographic Information Visualization and Analysis

Bibliographic Information Visualization and Analysis. Chitra Madhwacharyula Colleen Whitney Lulu Guo. Background. California Digital Library serves the entire UC system: more than 35 million bibliographic records in the combined catalog

bibiana-cesar
Download Presentation

Bibliographic Information Visualization and Analysis

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Bibliographic Information Visualization and Analysis Chitra Madhwacharyula Colleen Whitney Lulu Guo

  2. Background • California Digital Library serves the entire UC system: more than 35 million bibliographic records in the combined catalog • Need to be able to find patterns in this data in order to develop better services and tools

  3. Project Goal • Facilitate exploration of items in bibliographic collections using brushing and linking techniques • Key concepts of interest • Circulation patterns by general subject area • Circulation patterns by time • The relationship of circulation to holdings

  4. Targeted Audience • California Digital Library Staff • Characteristics • Develop tools and programs to serve all UC campuses • Not involved with day-to day workings of the libraries, but many are ex-librarians • One related project: improving the quality of information retrieval

  5. Related Work • PaperLens • Overview of collection along defined axes • Ability to zoom in and see patterns within a subset • Ability to highlight an item and see details, additional patterns within the collection

  6. Related Work

  7. Dataset • Sample data (from UCLA) • 320 randomly selected items • Related circulation data • Mid-1999 - mid-2005 • All these items circulate (which is only true for about 25% of the entire collection) • This small set is being used to test the general visualization approach; we will be working with a much larger set eventually

  8. Our Prototype

  9. Visual Components • Bar Graphs • Small multiples segment data by subject • Bars indicate number of circulation transactions, by time • Scatter plots • More detail, new dimension within subject/time • Item Detail • Temporal pattern at item level

  10. The Software Debate • Tableau • Small multiples but no brushing and linking • Spotfire • Brushing and linking, but no small multiples • Our Choice • JpGraph: PHP graphics package backed by a MySQL database

  11. Demo

  12. Issues • Size of dataset • Complexity of metadata • Data transformations • What sampling technique to use ? • Limitations of JpGraph

  13. Future Work • Expand the dataset • Make interface more intuitive • Support filtering by subject and time at the outset • Make timeline presentation of item-level circulation pattern • Solicit and incorporate feedback from target audience

  14. Questions ?

More Related