51. CBRC Digital Repository: storing and viewing 3D objects, for science! (44:19)

Date:
2015-10-07
Main contributors:
Hardesty, Juliet, Halliday, Jim
Summary:
The Center for Biological Research Collections (CBRC) at Indiana University (http://www.indiana.edu/~cbrc/) is a consortium of research collections including botany, zooarchaeology, and paleontology collections. This group is digitizing biological specimens to make them available online for teaching and research. Some of these specimens will be digitized as 2-dimensional photographic images while others, particularly bone specimens, are being digitized in 3D to allow for manipulation and visualization in a standard web browser. The Libraries are teaming up with CBRC to help store these collections in a variety of file formats, along with accompanying metadata. The CBRC uses a pre-existing metadata management system called Specify (http://specifysoftware.org/) and we are working to bring the metadata in that system together with repository software we use (Hydra/Fedora) to ensure these digitized items can be archived and managed for the long-term, as well as made discoverable and accessible online. Join us to learn about this work, see some 3D content in action, and have some fun with science!

55. Lecture - Yvonne Frye (December 09, 2015) (1:15:40)

Date:
2015
Main contributors:
Yvonne Frye, lecture
Summary:
Yvonne Frye, of the East Helsinki Music Institute and the Sibelius Academy of the University of the Arts Helsinki, delivers a lecture to students of Mimi Zweig, Professor of Music (Violin, Viola) at the Indiana University Jacobs School of Music.

57. Rave: Repository Enlighten-ment: A ten year rave! (07:38)

Date:
2015-06-10
Main contributors:
Nixon, William J., Ashworth, Susan
Summary:
Presentation at Open Repositories 2015 (OR2015), the 10th International Conference on Open Repositories, Indianapolis, Indiana, in session P6A: Repository Rants and Raves.

58. Social Media Mining with Natural Language Processing (1:52:18)

Date:
2015-11-06
Main contributors:
Abdul-Mageed, Muhammad, Dickinson, Markus
Summary:
With the increasing role social media platforms like Facebook, Twitter, YouTube, and Tumbler play in our lives today, the body of data generated by their users continues to grow phenomenally. Accordingly, searches and processing of social media data beyond the limiting level of surface words are becoming increasingly important to business and governmental bodies, as well as to lay web users. Detection of sentiment, emotion, deception, gender, sarcasm, age, perspective, topic, community, and personality are all valuable social meaning components that promise to be important elements of next generation search engines and web intelligence. The emerging area of extracting social meaning from social media data using computational methods is known as Social Media Mining (SMM). This workshop is intended to first introduce the core ideas of natural language processing (NLP) and then to provide the ideas and some hands-on instruction in mining social data using NLP and machine learning technologies. As such, we will address practical issues related to building tools to mine social media data and some of the primary computational methods employed for modeling social meaning as occurring in these data.

59. The once and future repository, HKU's Scholars Hub (27:06)

Date:
2015-06-10
Main contributors:
Palmer, David T.
Summary:
Presentation at Open Repositories 2015 (OR2015), the 10th International Conference on Open Repositories, Indianapolis, Indiana, in session P5A: Building the Perfect Repository.