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  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
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
Beyond Size and Search: Building Contextual Mass in Digital Aggregations for Scholarly Use

Beyond Size and Search: Building Contextual Mass in Digital Aggregations for Scholarly Use

Date: October 2010
Creator: Palmer, Carole L.; Zavalina, Oksana & Fenlon, Katrina
Description: This paper discusses building contextual mass in digital aggregations for scholarly use.
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
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
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
Digital Curation in the Academic Library Job Market

Digital Curation in the Academic Library Job Market

Date: October 2012
Creator: Kim, Jeonghyun; Warga, Edward & Moen, William E.
Description: This paper discusses digital curation in the academic library job market. With the increasingly important role librarians play in the fast-paced and data-intensive digital curation movement, there is a need to identify the qualifications and responsibilities expected by employers. An investigation of 110 recent job advertisements was conducted to identify competencies required of individuals working in the digital curation field. The job ads analysis serves as an important indicator of the emerging requirements for a qualified workforce in the field of digital curation in the academic library job market.
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
Extracting and Parsing of Herbarium Specimen Data: Exploring the Use of the Dublin Core Application Profile Framework

Extracting and Parsing of Herbarium Specimen Data: Exploring the Use of the Dublin Core Application Profile Framework

Date: February 2010
Creator: Moen, William E.; Huang, Jane Q.; McCotter, Melody; Neill, Amanda K. & Best, Jason H.
Description: This paper discusses extraction and parsing of herbarium specimen data to make the critical information available in digital form.
Contributing Partner: UNT College of Information
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