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  Partner: UNT College of Information
 Resource Type: Paper
 Decade: 2000-2009
 Collection: UNT Scholarly Works
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
Assessing Metadata Utilization: An Analysis of MARC Content Designation Use

Assessing Metadata Utilization: An Analysis of MARC Content Designation Use

Date: 2003
Creator: Moen, William E. & Benardino, Penelope
Description: This paper discusses metadata utilization. Abstract: Metadata schemes emerge to meet community and user requirements, and they evolve over time to meet changing requirements. This paper reports results of an analysis of a large sample of MARC 21 bibliographic records. MARC 21 is an encoding scheme related closely to metadata elements occurring in library bibliographic records. The records were analyzed for the utilization of content designation available in MARC 21. Results indicate that less than 5% of available content designation accounts for over 80% of occurrences. The implications of these findings affect indexing policies, system design, and can inform setting requirements for extending a metadata scheme based on a threshold of community requirements.
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
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
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
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
Findings Pertaining to the Framework of Guidance for Building Good Digital Collections

Findings Pertaining to the Framework of Guidance for Building Good Digital Collections

Date: October 2006
Creator: Cole, Timothy W.; Jackson, Amy S.; Palmer, Carole L.; Shreeves, Sarah L.; Twidale, Michael B. & Zavalina, Oksana
Description: This paper discusses the findings pertaining to the framework for building good digital collections. This paper is part of the three-year interim project report for the IMLS Digital Collections & Content Project, summarizing major findings October 2002 through September 2005.
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
Improving Z39.50 Interoperability: Z39.50 Profiles and Testbeds for Library Applications

Improving Z39.50 Interoperability: Z39.50 Profiles and Testbeds for Library Applications

Date: August 2001
Creator: Moen, William E.
Description: This paper discusses Z39.50 interoperability. Abstract: An operating assumption for the networked environment is that many different information systems need to interoperate for users to successfully discover and retrieve distributed resources. Meaningful interoperability is often elusive. In the library community, the Z39.50 standard protocol (ISO 23950/ANSI/NISO Z39.50) for information retrieval promised seamless and transparent networked access to library resources. Too often, the reality has not lived up to the promise. This paper discusses two efforts that offer solution paths to Z39.50 interoperability.
Contributing Partner: UNT College of Information
An Innovative Partnership to Recruit and Educate Biomedical Information Professionals

An Innovative Partnership to Recruit and Educate Biomedical Information Professionals

Date: 2005
Creator: Cleveland, Ana D., 1943-; Hannigan, Gale; Philbrick, Jodi; Pan, Xuequn (Della) & O'Neill, Marty
Description: Article on an innovative partnership to recruit and educate biomedical information professionals.
Contributing Partner: UNT College of Information
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