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The University of North Texas Libraries' Portal to Texas History: Archival Challenges and Solutions

Description: This paper discusses the University of North Texas (UNT) Libraries' Portal to Texas History's archival challenges and solutions. The UNT Texas History Portal Project strives to balance the goals of accessibility of information and long-term preservation of digital objects. This poster details the system that automates the collection of metadata records to coordinate access to web-viewable files and preservation of archived master files.
Date: 2004
Creator: Nordstrom, Kurt; Hartman, Cathy Nelson & Phillips, Mark Edward
Partner: UNT Libraries

Expanding the Search for Digital Preservation Solutions: Adopting PREMIS in Cultural Heritage Institutions

Description: Paper accompanying a poster presentation for the 2009 ACM/IEEE-CS Joint Conference on Digital Libraries. This paper provides some preliminary results on factors that affect the adoption of PREMIS (Preservation Metadata Implementation Strategies) in cultural heritage institutions.
Date: 2009
Creator: Alemneh, Daniel Gelaw
Partner: UNT Libraries

Wikify! Linking Documents to Encyclopedic Knowledge

Description: This paper introduces the use of Wikipedia as a resource for automatic keyword extraction and word sense disambiguation, and shows how this online encyclopedia can be used to achieve state-of-the-art results on both these tasks.
Date: November 2007
Creator: Mihalcea, Rada, 1974- & Csomai, Andras
Partner: UNT College of Engineering

Learning from Artifacts: Metadata Utilization Analysis

Description: This paper describes the MARC Content Designation Utilization Project, which is examining a very large set of metadata records as artifacts of the library cataloging enterprise. This is the first large-scale examination of descriptive metadata utilization. Presents an overview of study activities and suggests the study's significance to the broader use of metadata in digital libraries.
Date: 2006
Creator: Moen, William E.; Miksa, Shawne D., 1969-; Eklund, Amy; Polyakov, Serhiy & Snyder, Gregory
Partner: UNT College of Information

Mapping the Interoperability Landscape for Networked Information Retrieval

Description: This paper discusses interoperability of networked information. Interoperability is a fundamental challenge for networked information discovery and retrieval. Often treated monolithically in the literature, interoperability is multifaceted and can be analyzed into different types and levels. This paper discusses an approach to map the interoperability landscape for networked information retrieval as part of an interoperability assessment research project.
Date: June 2001
Creator: Moen, William E.
Partner: UNT College of Information

Performance characteristics of the Cray X1 and their implicationsfor application performance tuning

Description: During the last decade the scientific computing community has optimized many applications for execution on superscalar computing platforms. The recent arrival of the Japanese Earth Simulator has revived interest in vector architectures especially in the US. It is important to examine how to port our current scientific applications to the new vector platforms and how to achieve high performance. The success of porting these applications will also influence the acceptance of new vector architectures. In this paper, we first investigate the memory performance characteristics of the Cray X1, a recently released vector platform, and determine the most influential performance factors. Then, we examine how to optimize applications tuned on superscalar platforms for the Cray X1 using its performance characteristics as guidelines. Finally, we evaluate the different types of optimizations used, the effort for their implementations, and whether they provide any performance benefits when ported back to superscalar platforms.
Date: May 11, 2004
Creator: Shan, Hogzhang & Strohmaier, Erich
Partner: UNT Libraries Government Documents Department

Network Traffic Analysis With Query Driven VisualizationSC 2005HPC Analytics Results

Description: Our analytics challenge is to identify, characterize, and visualize anomalous subsets of large collections of network connection data. We use a combination of HPC resources, advanced algorithms, and visualization techniques. To effectively and efficiently identify the salient portions of the data, we rely on a multi-stage workflow that includes data acquisition, summarization (feature extraction), novelty detection, and classification. Once these subsets of interest have been identified and automatically characterized, we use a state-of-the-art-high-dimensional query system to extract data subsets for interactive visualization. Our approach is equally useful for other large-data analysis problems where it is more practical to identify interesting subsets of the data for visualization than to render all data elements. By reducing the size of the rendering workload, we enable highly interactive and useful visualizations. As a result of this work we were able to analyze six months worth of data interactively with response times two orders of magnitude shorter than with conventional methods.
Date: September 1, 2005
Creator: Stockinger, Kurt; Wu, Kesheng; Campbell, Scott; Lau, Stephen; Fisk, Mike; Gavrilov, Eugene et al.
Partner: UNT Libraries Government Documents Department