时间:5月30日上午9点――11点半
地点:院办五楼会议室
讲座内容及主讲人简介:
1. Personal Archiving: An Emerging LIS Subfield
Associate Professor Lori S. Kendall
Personal archiving consists of the documentation practices of ordinary people. It includes the creation, preservation, and distribution of things such as photography, diaries, personal documents, etc. Scholarly interest in these practices is increasing in several areas, including corporations such as Microsoft, cultural heritage institutions like the United States Library of Congress and the British Library, and amongst academic scholars from disciplines including history, sociology, library and information science, and computer science. This talk will outline the current status of personal archiving scholarship and demonstrate why this area is ripe for greater attention from library and information science scholars.
Associate Professor Lori S. Kendall
Lori Kendall is an Associate Professor and 2010-2011 Centennial Scholar in the Graduate School of Library and Information Science at the
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2 Preserving Virtual Worlds: Computer Games & Digital Preservation
Assistant Professor Jerome P. McDonough
Computer games have grown from a leisure practice of a relatively small group of technology enthusiasts to a major new medium of expression. Games are now used for educational and training purposes in universities, corporations and the military, they have been used as modeling environments for fields as diverse as architectural design and epidemiological studies, and provide a new and significant venue for social activities. They also constitute a significant economic phenomenon within the
Jerome McDonough, Asst. Professor
Jerome McDonough is an Assistant Professor in the
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3. Multimodal Music Mood Classification
Clinical Assistant Professor Xiao Hu:
Library and Information Science Program
In recent years, the aspect of affect (or emotion) has become a research focus in information behavior and other information science subfields. This talk will focus on the affective aspect of music (popularly known as music mood) which is a newly emerging access point to music information. I will introduce my research on developing a mood model that can reflect the reality of music listening and complement traditional models in psychology. I will also present a multi-modal approach combining lyric and audio in automatic music classification and recommendation. Experiments on a large dataset of 5,296 songs in 18 mood categories show improvement on effectiveness and efficiency of music mood classification.
Xiao Hu is a Clinical Assistant Professor in the Library and Information Science Program at the
Xiao received her Ph.D. in Library and Information Science from