Digital Library Metadata Research Articles

Student-Created Dublin Core Metadata Representing Arabic Language eBooks: Comparison of Individual and Group Work Outcomes

In the Arabian Gulf countries, including but not limited to Kuwait, digital library metadata education is currently in its early stages. Empirical data assessing student learning outcomes of metadata instruction would allow for data-driven curriculum development as the courses and academic programs that are intended to provide such education evolve in the region. The study presented in this article provides these much-needed data from an undergraduate library and information science program in Kuwait. In this project, we examined the metadata records created to represent Arabic-language eBooks as part of individual and group assignments. A total of 187 student-created Dublin Core metadata records were collected from multiple sections of the metadata course (including female-only and male-only sections) over four semesters in 2021 and 2022. The dataset included 177 individually created records, and 10 records created by student teams. Accuracy and completeness of these metadata records were evaluated and compared across sections and between individual and team projects. The study's findings are presented and discussed in the context of metadata teaching practices in this Kuwaiti undergraduate program, and specifically with regard to activities and assessments intended to develop the Dublin Core record-creation skills. The study results demonstrate that students overall experience the most problems with representing copyright and intellectual rights and source information, describing what times and locations the information resource is about, and representing those who made non-major contributions to the information resource. Substantial differences were also observed in the patterns of metadata accuracy and completeness between individual work and teamwork, and between the metadata created by students in female-only and male-only course sections. Ideas for future research projects that would collectively allow forming a robust understanding of current metadata education and its outcomes in the Arabian Gulf region, as well as suggested curriculum enhancements, are discussed.

Accurate Approach Towards Efficiency of Searching Agents in Digital Libraries Using Keywords.

The age of information has done it simple for storing huge amount of data. In actual fact, a considerable segment of existing information is accumulated in the text databases that have huge set of documents from different sources like research articles, news articles, books, e-mail messages, web pages and digital libraries. In many text databases, stored data are in the semi-structured format in that they are neither entirely structured nor entirely unstructured. IR (Information Retrieval) field has been growing in parallel using database systems for several years. Contrasting to the databases system fields that have concentrated mainly on transaction and query processing of the structured data, IR is concerned with firm and retrieval of data from a huge quantity of text-oriented documents. Thus, IR tackles with unstructured and/or semi-structured databases. Information security requirements within a firm have experience major variations in the past some decades. By the establishment of computer, the necessary for automated equipment for securing files as well as other information that stored on the computer turned into evident. This is particularly in case of shared information resources via public network. This is the origin for having a secure computer system / the need for computer security. Computer Security can be achieved by Intrusion Detection Systems. In this paper, we address these issues by applying Similarity Search in two diversified fields: Digital Libraries and Computer Security. The paper discusses a fast and efficient similarity search technique for approximate retrieval of books metadata in Digital Libraries. In DLI the books retrieval takes place just by using metadata such as title, year, edition, author, publishing of a book. Though, if metadata is missing, incorrect or unfinished, then it creates the library retrieval system inefficient, incorrect leads too much confusion to the user. In this context even if the query from the user matches partially or fully with a stored pattern, the information related to that be retrieved. The paper talks about a method that functions rapid and effective, language independent, and flexible library retrieval system signature based similarity search. This system is able to retrieve not only the metadata that exactly matches the query but also fairly accurate identical because of missing words, jumbled words and spell mistakes. Fundamentally, signature file approach is used here. A signature file approach looks like the most capable for huge database as it has superior text retrieval features and requires little storage overhead.

Capisco: low-cost concept-based access to digital libraries

In this article, we present the conceptual design and report on the implementation of Capisco—a low-cost approach to concept-based access to digital libraries. Capisco avoids the need for complete semantic document markup using ontologies by leveraging an automatically generated Concept-in-Context (CiC) network. The network is seeded by a priori analysis of Wikipedia texts and identification of semantic metadata. Our Capisco system disambiguates the semantics of terms in the documents by their semantics and context and identifies the relevant CiC concepts. Supplementary to this, the disambiguation of search queries is done interactively, to fully utilize the domain knowledge of the scholar. For established digital library systems, completely replacing, or even making significant changes to the document retrieval mechanism (document analysis, indexing strategy, query processing, and query interface) would require major technological effort and would most likely be disruptive. In addition to presenting Capisco, we describe ways to harness the results of our developed semantic analysis and disambiguation, while retaining the existing keyword-based search and lexicographic index. We engineer this so the output of semantic analysis (performed off-line) is suitable for import directly into existing digital library metadata and index structures, and thus incorporated without the need for architecture modifications.

Developing an Empirically-based Framework of Metadata Change and Exploring Relation between Metadata Change and Metadata Quality in MARC Library Metadata

Managing metadata quality and metadata change contributes to more effective knowledge management in various organizations. This study sought to test and refine the metadata change framework initially developed for characterizing the change in digit al library metadata, in the study of traditional library metadata. As well, the study investigates how the recent shift to the new resource description standard Resource Description and Access (RDA) has impacted the change in library metadata records. Using a content analysis approach, we assessed various quantitative and qualitative aspects of metadata change over time in library metadata records. The study reveals that in the time since the transition to the new standard, library metadata records have received a high level of attention from metadata editors as expressed in overall metadata change frequency and a variety of 3 change categories and 23 subcategories observed. Results suggests the most frequently occurring categories and subcategories of change within the library metadata records, the metadata fields most widely applied in the records and the ones most often undergoing changes, as well as the institutions that most often make changes to the records. Based on the changes observed in our study, we identify relations between specific metadata change categories and subcategories and metadata quality criteria of accuracy, completeness, and consistency. The directions for further research into library metadata change and connections between metadata change categories and metadata quality criteria are suggested.

Metadata Clean Sweep: A Digital Library Audit Project

As digital library collections grow in size, metadata issues such as inconsistencies, incompleteness and quality become increasingly difficult to manage over time. Unfortunately, successful user search and discoverability of digital collections relies almost entirely on the accuracy and robustness of metadata. This paper discusses the pilot of an ongoing digital library metadata audit project that was collaboratively launched by library school interns and full-time staff to alleviate poor recall, poor precision and metadata inconsistencies across digital collections currently published in the University of Houston Digital Library. Interns and staff designed a multi-step project that included metadata review of sample items from each collection, systematic revision of previously published metadata and recommendations for future metadata procedures and ongoing metadata audit initiatives. No such metadata audit efforts had been conducted on the UH Digital Library and the project yielded data that provided staff with the opportunity to significantly improve the overall quality and consistency of metadata for collections published over the nearly three year life of the repository. This article also contains lessons learned and suggestions on how a similar metadata audit project could be implemented in other libraries hosting digital collections.

Naming Names: The Ethics of Identification in Digital Library Metadata

Naming Names: The Ethics of Identification in Digital Library Metadata

The Digital Object in Context: Using CERIF With METS

The article examines the potential for using the Common European Research Information Format in conjunction with the Metadata Encoding and Transmission Standard to provide contextual information for a digital research output. Both are key standards within their respective communities (the former in research information management, the latter in digital library metadata), but each employs a different approach to information architecture, which renders their combination problematic, The article examines three possible ways to use CERIF and METS in conjunction and suggests possible changes of approach to the METS standard to resolve some of the problems that arise.

Integrating Metadata Creation into Catalog Workflow

The University of Oklahoma Libraries recently undertook a project designed to integrate digital library metadata creation into the workflow of the Cataloging Department. This article examines the conditions and factors that led to the project's genesis, the proposed and revised workflows that were developed, the staff training efforts that accompanied implementation of the project, and the results and benefits obtained through the project's implementation. The project presented several challenges but resulted in an improved workflow, greater use of Cataloging Department resources, and more accurate and useful metadata while increasing the Library's capacity to support digitization efforts in a timely fashion.

A Knowledge Network Constructed by Integrating Classification, Thesaurus and Metadata in Digital Library

For the digital libraries of China, the development of networked information resources, especially of metadata, is still a principal task. In the same time, a huge amount of information resources has been accumulated and the exploitation of them is far from sufficient. The current chief utility-keyword search undermines seriously the potential values of them, especially the metadata, for the metadata contain valuable content description and indexing information. To solve this problem, we devise a new paradigmintegrated knowledge network. It is formed by merging the classification and thesaurus into a concept network and then distributing the metadata records into the concept nodes according to their subjects, just like the shelving of the metadata. We have built an experiment system Vision by incorporating a portion of the Chinese Classification and Thesaurus with the bibliographic data of computing domain from Peking University Library. Such a knowledge network is not only a framework for metadata organizing, but also a structure for knowledge navigation, retrieval and learning, and we believe it will be a catalyst for the digital libraries to come to knowledge management.

A Knowledge Network Constructed by Integrating Classification, Thesaurus, and Metadata in Digital Library

For the digital libraries of China, the development of networked information resources, especially of metadata, is still a principal task. At the same time, many information resources have been accumulated and the exploitation of them is far from sufficient. The current chief utility — keyword search undermines seriously the potential value of information resources, especially the metadata, which contains valuable content description and indexing information. To solve this problem, we have devised a new paradigm — an integrated knowledge network. It is formed by merging the classification and thesaurus into a concept network and then distributing the metadata records into the concept nodes according to their subjects, just like the “shelving” of the metadata. We have built an experimental system, VISION, by incorporating a portion of the Chinese Classification and Thesaurus with the bibliographic data of the computing domain from Peking University Library. Such a knowledge network is not only a framework for metadata organizing, but also a structure for knowledge navigation, retrieval, and learning, and we believe it will be a catalyst for better knowledge management in digital libraries.

A Knowledge Network Constructed by Integrating Classification, Thesaurus, and Metadata in Digital Library

For the digital libraries of China, the development of networked information resources, especially of metadata, is still a principal task. At the same time, many information resources have been accumulated and the exploitation of them is far from sufficient. The current chief utility — keyword search undermines seriously the potential value of information resources, especially the metadata, which contains valuable content description and indexing information. To solve this problem, we have devised a new paradigm — an integrated knowledge network. It is formed by merging the classification and thesaurus into a concept network and then distributing the metadata records into the concept nodes according to their subjects, just like the “shelving” of the metadata. We have built an experimental system, VISION, by incorporating a portion of the Chinese Classification and Thesaurus with the bibliographic data of the computing domain from Peking University Library. Such a knowledge network is not only a framework for metadata organizing, but also a structure for knowledge navigation, retrieval, and learning, and we believe it will be a catalyst for better knowledge management in digital libraries.