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  Partner: UNT College of Information
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CIMI's Z39.50 Interoperability Testbed: Search and Retrieval of Distributed Cultural Heritage Information

CIMI's Z39.50 Interoperability Testbed: Search and Retrieval of Distributed Cultural Heritage Information

Date: January 2, 1998
Creator: Moen, William E.
Description: This paper discusses the Consortium for the Computer Interchange of Museum Information (CIMI)'s international effort to provide distributed search and retrieval of cultural heritage information. A primary aspect of CIMI's work utilizes ANSI/NISO Z39.50-1995, and American National Standard protocol for information retrieval. The International Organization for Standardization (ISO) recently approved Z39.50 as ISO 23950. CIMI chose Z39.50 to enable uniform access to existing and emerging digital collections and the vast repositories of cultural heritage information resources. These resources include a variety of physical and digital objects--physical artifacts and digital derivatives of those artifacts, descriptive records designed for collection management, bibliographic records, full-text documents, online tools such as thesauri and authoritative lists of artists' names, and more. CIMI's application Z39.50 in the networked cultural heritage information environment is breaking new ground in distributed and integrated access to textual and non-textual digital collections.
Contributing Partner: UNT College of Information
UNT at ImageCLEF 2010: CLIR for Wikipedia Images

UNT at ImageCLEF 2010: CLIR for Wikipedia Images

Date: September 2010
Creator: Ruiz, Miguel E.; Chen, Jiangping; Pasupathy, Karthikeyan; Chin, Pok & Knudson, Ryan
Description: This paper presents the results of the team of the University of North Texas in the Wikipedia image retrieval track of Image-CLEF-2010. The authors' approach is based on performing translation of the French and German image captions to English and using of Language Models for generating their runs. The authors also explore the use of complex queries by asking two users to manually build queries based on the original topics distributed. The authors' results indicate that the approach of translating the image captions is feasible and yields results that are quite competitive with other teams that participated in the same track.
Contributing Partner: UNT College of Information
High-Throughput Workflow for Computer-Assisted Human Parsing of Biological Specimen Label Data

High-Throughput Workflow for Computer-Assisted Human Parsing of Biological Specimen Label Data

Date: 2008
Creator: Moen, William E.; Best, Jason H. & Neill, Amanda K.
Description: This grant proposal is for the United States Institute of Museum and Library Services National Leadership Grant. Abstract: The University of North Texas's Texas Center for Digital Knowledge (TxCDK) and the Botanical Research Institute of Texas (BRIT) will conduct fundamental research with the goal of identifying how human intelligence can be combined with machine processes for effective and efficient transformation of textual museum specimen label information into high-quality machine-processible parsed data. This two-year project will advance understanding of the workflow and processes best able to increase access to and use of digitized biological collection metadata within the stakeholder communities comprised of biologists, natural history museum collections managers, biodiversity standards groups, and the library and information science community. A key challenge faced by all natural history collections is determining a transformation process that yields high-quality results in a cost- and time-efficient manner. The results of this research will yield a new workflow model for effective and efficient label data transformation, correction, and enhancement that can be replicated, adapted, and transferred to herbaria and other natural history collections.
Contributing Partner: UNT College of Information
Instructional Design Strategies for Teaching Technological Courses Online

Instructional Design Strategies for Teaching Technological Courses Online

Date: September 28, 2011
Creator: Chen, Jiangping & Knudson, Ryan
Description: Abstract: This paper describes different instructional design strategies for teaching computer technological courses online. Two of the three courses discussed in the paper have been taught on the Internet for over five years. The course content, assignments, and interaction have been designed and implemented based on the distinct challenges of the courses, their learning objectives, and the computing backgrounds of students. Students' evaluations of these courses are presented. The authors discuss important factors that may affect teaching and learning effectiveness for distance education.
Contributing Partner: UNT College of Information
UNT 2005 TREC QA Participation: Using Lemur as IR Search Engine

UNT 2005 TREC QA Participation: Using Lemur as IR Search Engine

Date: 2005
Creator: Chen, Jiangping; Yu, Ping & Ge, He
Description: This paper reports the authors' TREC 2005 QA participation. The authors' QA system Eagle QA developed last year was expanded and modified for this year's QA experiments. Particularly, the authors used Lemur 4.1 as the Information Retrieval (IR) Engine this year to find documents that may contain answers for the test questions from the document collection. The authors' result shows Lemur did a reasonable job on finding relevant documents. But certainly there is room for further improvement.
Contributing Partner: UNT College of Information
Chinese Information Retrieval Using Lemur: NTCIR-5 CIR Experiments at UNT

Chinese Information Retrieval Using Lemur: NTCIR-5 CIR Experiments at UNT

Date: December 2005
Creator: Chen, Jiangping; Li, Rowena & Li, Fei
Description: This paper discusses Chinese information retrieval using Lemur. Abstract: This paper describes our participation in NTCIR-5 Chinese Information Retrieval (IR) evaluation. The main purpose is to evaluate Lemur, a freely available information retrieval toolkit. Our results showed that Lemur could provide above average performance on most of the runs. We also compared manual queries vs. automatic queries for Chinese IR. The results show that manually generated queries did not have much effect on IR performance. More analysis will be carried out to discover causes behind hard topics and ways to improve the overall retrieval performance.
Contributing Partner: UNT College of Information
UNT at TREC 2004: Question Answering Combining Multiple Evidences

UNT at TREC 2004: Question Answering Combining Multiple Evidences

Date: 2004
Creator: Chen, Jiangping; Ge, He; Wu, Yan & Jiang, Shikun
Description: This paper discusses Question Answering (QA) combining multiple evidences. QA aims at identifying answers to users' natural language questions. A QA system can release the users from digesting large amounts of text in order to locate particular facts or numbers. The research has drawn great attention from several disciplines such as information retrieval, information extraction, natural language processing, and artificial intelligence. TREC QA track has provided comparable QA system evaluation on a set of test questions since 1999. The degree of difficulty of the test questions has increased substantially in recent two years, which push the research toward applying more sophisticated strategies and better understanding of English texts. This article discusses this research.
Contributing Partner: UNT College of Information
iCAMP: Building Digital Information Curation Curriculum

iCAMP: Building Digital Information Curation Curriculum

Date: February 2012
Creator: Moen, William E.; Kim, Jeonghyun; Warga, Edward; Wakefield, Jenny S. & Halbert, Martin
Description: This paper discusses building digital information curation curriculum, as part of the iCAMP project. Abstract: The iCAMP (Information: Curate, Archive, Manage, and Preserve) project is developing a curriculum in digital curation and data management. The project will design and implement four courses using a competency-based curriculum approach. It also integrates principles of sound pedagogy, instructional design, and a learning environment that emphasizes practical training. This paper summarizes the goals and guiding principles behind the curriculum development and instructional design framework.
Contributing Partner: UNT College of Information
The "Triple-P" Domains of Ethical Behavior for Higher Education

The "Triple-P" Domains of Ethical Behavior for Higher Education

Date: February 2013
Creator: Mayes, Robin
Description: This paper was awarded a Nicholas and Anna Ricco Ethics Award for 2013. In this paper, the author discusses the "Triple-P" domains of ethical behavior: (1) the understanding of privacy ethics, (2) regards to piracy and plagiarism, and (3) pilfering and profiteering.
Contributing Partner: UNT College of Information
The Role of Collection-Level Subject Metadata in Subject Access to Digital Collections in Aggregations

The Role of Collection-Level Subject Metadata in Subject Access to Digital Collections in Aggregations

Date: 2011
Creator: Zavalina, Oksana
Description: This paper presents a new area of research in library and information sciences - investigation into collection-level subject metadata that describes entire digital collections as integral wholes - and reports results of the multi-method exploratory study combining comparative content analysis of collection-level subject metadata in three large-scale aggregations of digital collections in the USA and Europe, transaction log analysis of user interactions with one of these portals, as well as interviews and observations of aggregation users.
Contributing Partner: UNT College of Information