Microblogging services like Twitter are becoming an important part of how many people manage information in their day to day activities. As microblog traffic increases (Twitter currently sees about 50 million tweets per day) information management and organization will become keen problems in this area. The project will define the core problems in microblog search and propose solutions to…
The “Music Information Retrieval Evaluation eXchange” (MIREX) is the annual cycle of events wherein music information retrieval (MIR) researchers come together to investigate how well their innovative MIR algorithms perform. MIREX has played a pivotal role in the growth and success of the MIR research community, evaluating over 1,068 algorithms across 23 unique MIR task categories.…
Mix IT Up! Youth Advocacy Librarianship focuses on creating intentionally structured, youth-centered, engaged learning opportunities related to information technologies. Mix IT Up! enhances youth services by developing a library and information science (LIS) specialization that dovetails with community informatics and youth service in order to focus on systematically training librarians as…
Multi-Agent Systems research at the ISRL covers basic studies of multi-agent systems, including coordination models, computational organization theory, and multi-agent infrastructure. The Multi-Agent Systems Group…
Copyright law and resource licensing complicate the application of text data mining for research. This project convened a National Forum on Text Data Mining with Use-Limited Data in April 2018 that brought together 25 leading stakeholders selected among researchers, librarians, content providers, legal experts, and representatives of scholarly societies to articulate an agenda that provides…
How can we use user-generated content to construct, infer or refine network data? We have been tackling this problem by leveraging communication content produced and disseminated in social networks to enhance graph data. For example, we have used domain-adjusted sentiment analysis to label graphs with valence values in order to enable triadic balance assessment. The resulting method enables…
Diesner’s team is developing a natural-language processing solution for probabilistic entity detection and classification in the domain of healthcare. The core of the solution are prediction models built by using supervised and/or semi-supervised machine learning techniques. The resulting models can be used to annotate natural language text data documents for entity classes. The team will…
Assistant Professor Jana Diesner a received an Faculty Fellowship and seed funding for her project, “Predictive Modeling for Impact Assessment,” from the National Center for Supercomputing Applications (NCSA). Diesner collaborates closely with NCSA scientists on the project, which builds on her work developing computational solutions…
The Networked Environment for Music Analysis (NEMA) project is a multinational, multidisciplinary cyberinfrastructure project for music information processing that builds upon and extends the music information retrieval research being conducted by the International Music Information Retrieval Systems Evaluation Laboratory (IMIRSEL) at the University of Illinois at Urbana-Champaign (UIUC). NEMA…
This project assesses an American Library Association (ALA) “News Know-how” program, which engages librarians, journalists, news ethicists and students across the country in news literacy education.
The evaluation will provide information that will help the ALA and its partners adjust the strategy for delivering this program as well as provide a final evaluation of the overall impact…
