Resource and Resource Sharing in Intelligent Information Access
Date: October 2008
Creator: Chen, Jiangping & Li, Fei
Description: This paper reports an exploratory study on resources and resource sharing among researchers in Intelligent Information Access (IIA). The investigation consists of two stages. In Stage One, the authors conducted a content analysis to identify resources used in 145 research papers and reports in two subfields of IIA; and in Stage Two, the authors carried out an online survey of IIA researchers to understand resource-sharing channels and the researchers' perspectives on resource sharing. The results demonstrate that IIA researchers make use of various types of resources developed by others. Most of these resources are knowledgeable sources or software systems that are freely available online. However, IIA researchers encounter various difficulties during the course of resource acquisition and use. The study suggests that a resource management system built on a well-established knowledge-management model could greatly facilitate the creation, sharing, and use of resources in the IIA community.
Contributing Partner: UNT College of Information
Permallink:digital.library.unt.edu/ark:/67531/metadc132970/
Open Access: A New Paradigm for Knowledge Creation, Dissemination, and Access
Date: April 28, 2009
Creator: Moen, William E. & Hartman, Cathy Nelson
Description: This paper discusses open access. The notion of open access to scholarly information is not new. In recent years, however, it has taken on prominence within the broader context of scholarly work, communication, and publishing. This brief paper intends to highlight and clarify key aspects of open access to assist UNT's initial discussions of the utility of open access for UNT researchers and scholars.
Contributing Partner: UNT College of Information
Permallink:digital.library.unt.edu/ark:/67531/metadc32975/
Unremarkable on the Face of It
Date: December 3, 2009
Creator: O'Connor, Brian
Description: This paper was part of a series by the Smithsonian Photography Initiative 'Click! Photography Changes Everything'. This paper discusses family photographs and how sometimes seemingly unremarkable snapshots can be truly remarkable.
Contributing Partner: UNT College of Information
Permallink:digital.library.unt.edu/ark:/67531/metadc71796/
What Does Transaction Log Data Tell About Collection-Level Subject Access?
Date: 2010
Creator: Zavalina, Oksana L.
Description: This paper accompanies a poster presentation on what transaction log data tells us about collection-level subject access. This paper reports results of the quantitative and qualitative study of a systematic sample of transaction log data that recorded user interactions with a large-scale aggregation of cultural heritage digital collections over a period of one year.
Contributing Partner: UNT College of Information
Permallink:digital.library.unt.edu/ark:/67531/metadc130200/
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. Abstract: Herbaria around the world house millions of plant specimens; botanists and other researchers value these resources as ingredients in biodiversity research. Even when the specimen sheets are digitized and made available online, the critical information about the specimen stored on the sheet are not in a usable (i.e., machine-processible) form. This paper describes a current research and development project that is designing and testing high-throughput workflows that combine machine- and human-processes to extract and parse the specimen label data. The primary focus of the paper is the metadata needs for the workflow and the creation of the structured metadata records describing the plant specimen. In the project, the authors are exploring the use of the new Dublin Core Metadata Initiative framework for application profiles. First articulated as the Singapore Framework for Dublin Core Application Profiles in 2007, the use of this framework is in its infancy. The promises of this framework for maximum interoperability and for documenting the use of metadata for maximum reusability, and for supporting metadata applications that are in conformance with Web architectural principles provide the incentive to explore and add implementation experience regarding this new ...
Contributing Partner: UNT College of Information
Permallink:digital.library.unt.edu/ark:/67531/metadc81386/
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
Permallink:digital.library.unt.edu/ark:/67531/metadc96836/
Beyond Size and Search: Building Contextual Mass in Digital Aggregations for Scholarly Use
Date: October 2010
Creator: Palmer, Carole L.; Zavalina, Oksana L. & Fenlon, Katrina
Description: This paper discusses building contextual mass in digital aggregations for scholarly use. Abstract: At present there are no established collection development methods for building large-scale digital aggregations. However, to realize the potential of the collective base of digital content and advance scholarship, aggregations must do more than provide search of sizable bodies of content. Informed by empirical understanding of scholarly information practices, the IMLS Digital Collections and Content project developed an aggregation strategy for building Opening History, one of the largest digital cultural heritage aggregations in the country. The strategy applied policy-driven collecting based on the principle of contextual mass, and conspectus-style evaluation of collection-level metadata to identify strong subject areas within the aggregation. Analysis of density, interconnectedness, diversity, and small/large collection complementary determined subject concentrations and thematic strengths to be prioritized for future collection development and used as organizational structures for browsing and visualization. The approach models how scholars build their own personal research collections, as they follow leads from collection to collection across institutions near and far, and adds value that cannot be achieved through conventional retrieval and browsing at the item-level.
Contributing Partner: UNT College of Information
Permallink:digital.library.unt.edu/ark:/67531/metadc71795/
Free-Text Collection-Level Subject Metadata in Large-Scale Digital Libraries: A Comparative Content Analysis
Date: 2011
Creator: Zavalina, Oksana
Description: This paper discusses free-text collection-level subject metadata in large-scale digital libraries. Abstract: Metadata is central for information organization in digital libraries. A growing number of digital libraries worldwide are now generating metadata to describe not only individual objects but entire digital collections as integral wholes. However, collection-level metadata has not yet been empirically evaluated. This paper reports results of the study that used an in-depth comparative content analysis to assess free-text collection-level subject metadata in three large-scale digital cultural heritage aggregations in the United States and Europe. As observed by this study, the emerging best practices include encoding a variety of information about a digital collection in free-text collection-level Description metadata element. This includes both subject-specific (topical, geographic and temporal coverage, and types/genres of objects in a digital collection) and non-subject-specific information: title, size, provenance, collection development, copyright, audience, navigation and functionality, language of items in a digital collection, frequency of additions, institutions that host a digital collection or contribute to it, funding sources, item creators, importance, uniqueness, and comprehensiveness of a digital collection.
Contributing Partner: UNT College of Information
Permallink:digital.library.unt.edu/ark:/67531/metadc67617/
The Role of Collection-Level Subject Metadata in Subject Access to Digital Collections in Aggregations
Date: 2011
Creator: Zavalina, Oksana L.
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
Permallink:digital.library.unt.edu/ark:/67531/metadc71787/
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
Permallink:digital.library.unt.edu/ark:/67531/metadc96663/