You limited your search to:

  Partner: UNT College of Information
 Resource Type: Paper
Assessing Descriptive Substance in Free-Text Collection-Level Metadata

Assessing Descriptive Substance in Free-Text Collection-Level Metadata

Date: September 2008
Creator: Zavalina, Oksana; Palmer, Carole L.; Jackson, Amy S. & Han, Myung-Ja
Description: This paper discusses assessing descriptive substance in free-text collection-level metadata. Abstract: Collection-level metadata has the potential to provide important information about the features and purpose of individual collections. This paper reports on a content analysis of collection records in an aggregation of cultural heritage collections. The findings show that the free-text Description field often provides more accurate and complete representation of subjects and object types than the specified fields. Properties such as importance, uniqueness, comprehensiveness, provenance, and creator are articulated, as well as other vital contextual information about the intentions of a collector and the value of a collection, as a whole, for scholarly users. The results demonstrate that the semantically rich free-text Description field is essential to understanding the context of collections in large aggregations and can serve as a source of data for enhancing and customizing controlled vocabularies.
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
Chinese QA and CLQA: NTCIR-5 QA Experiments at UNT

Chinese QA and CLQA: NTCIR-5 QA Experiments at UNT

Date: December 2005
Creator: Chen, Jiangping; Li, Rowena; Yu, Ping; Ge, He; Chin, Pok; Li, Fei et al.
Description: Abstract: This paper describes our participation in the NTCIR-5 CLQA task. Three runs were officially submitted for three subtasks: Chinese Question Answering, English-Chinese Question Answering, and Chinese-English Question Answering. We expanded their TREC experimental QA system EagleQA this year to include Chinese QA and Cross-Language QA capabilities. Various information retrieval and natural language processing tools were incorporated with their home-built programs such as Answer Type Identification, Sentence Extraction, and Answer Finding to find answers to the test questions. Future development will focus on investigating effective question translation and answer finding solutions.
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
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
An Extensible Approach to Interoperability Testing: The Use of Special Diagnostic Records in the Context of Z39.50 and Online Library Catalogs

An Extensible Approach to Interoperability Testing: The Use of Special Diagnostic Records in the Context of Z39.50 and Online Library Catalogs

Date: 2005
Creator: Moen, William E.; Hammer, Sebastian; Taylor, Mike; Thomale, Jason & Yoon, JungWon
Description: Paper discussing the use of special diagnostic records in the context of Z39.50 and online library catalogs.
Contributing Partner: UNT College of Information
Developing an Alternative Approach for Interoperability Testing of Library Z39.50 Servers

Developing an Alternative Approach for Interoperability Testing of Library Z39.50 Servers

Date: March 30, 2004
Creator: Moen, William E.
Description: Paper describing a plan of work to develop and test an alternative approach for interoperability testing. This approach builds on the conceptual and technical infrastructure developed during the Z-Interop Project.
Contributing Partner: UNT College of Information