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This paper aims to investigate the internet web page metadata usage behavior in terms of their metadata element co‐occurrences. Metadata are designed to facilitate both web publishers/authors to organize their web pages and search engines to index the web pages accurately.

This study examines the types of metadata elements employed by different professional groups of web authors, the number of elements they prefer to use, and the types of element combinations they typically embed in their pages' HTML code.

The findings reveal that the “keyword” and “description” elements were the most popular single elements. The most popular combination of two elements was that of “keyword and description”. Very few authors included combinations of five elements. This study also shows that preferences for element combinations varied by domains.

This approach will enhance the current understanding of metadata usage behavior and may help search engine designers as they continue their quest for improved indexing and retrieval of web pages.

The purpose of this paper is to propose a Resource Description Framework (RDF)-based approach to transform metadata crosswalking from equivalent lexical element mapping into semantic mapping with various contextual relationships. RDF is used as a crosswalk model to represent the contextual relationships implicitly embedded between described objects and their elements, including semantic, hierarchical, granular, syntactic and multiple object relationships to achieve semantic metadata interoperability at the data element level.

This paper uses RDF to translate metadata elements and their relationships into semantic expressions, and also as a data model to define the syntax for element mapping. The feasibility of the proposed approach for semantic metadata crosswalking is examined based on two use cases – the Archives of Navy Ships Project and the Digital Artifacts Project of National Palace Museum in Taipei – both from the Taiwan e-Learning and Digital Archives Program.

As the model developed is based on RDF-based expressions, unsolved issues related to crosswalking, such as sets of shared terms, and contextual relationships embedded between described objects and their metadata elements could be manifested into a semantic representation. Corresponding element mapping and mapping rules can be specified without ambiguity to achieve semantic metadata interoperability.

Five steps were developed to clarify the details of the RDF-based crosswalk. The RDF-based expressions can also serve as a basis from which to develop linked data and Semantic Web applications. More use cases including biodiversity artifacts of natural history museums and literary works of libraries, and conditions, constraints and cardinality of metadata data elements will be required to make revisions to fine tune the proposed RDF-based metadata crosswalk.

In addition to reviving contextual relationships embedded between described objects and their metadata elements, nine types of mapping rules were developed to achieve a semantic metadata crosswalk which will facilitate the design of related mapping software. Furthermore, the proposed approach complements existing crosswalking documents provided by authoritative organizations, and enriches mapping language developed by the CIDOC community.

To propose correct metadata elements, it was deemed necessary to close the gap between the perception of metadata creators and data creators through a user behavior analysis. This study aims to improve metadata elements of web‐based reference resources.

The study employed three types of surveys: behavior analysis of metadata creators, perception analysis of users, and system satisfaction. For analysis of metadata creators, the study examined data fields where metadata were recorded among metadata elements of reference resources. For user awareness analysis, respondents were asked to answer the necessity of 17 elements after they actually had entered data and to recommend other necessary elements. Finally, system satisfaction survey was followed.

As a result, first, it was found that the respondents recognized five elements: contributor, source, data, format, and relation as necessary input elements, which in practice had not been well recorded in real operating systems. The usability test also found that users entered the five elements more than other elements. Second, the first survey experience did not impact the second survey response. It was found that previous experience of system use had significantly impacted respondents' recognition of necessary metadata elements. It was also found that data input rate in the data input test had a significant influence on the change in the perception regarding necessary metadata. Third, the most chosen elements when searching for reference resources were found to be title, subject, description, and creator, in order of frequency. Fourth, respondents were surveyed on their satisfaction regarding nine questions after they had used a system (factor analysis). In this analysis, it was found that the users' satisfaction was relatively high in system usefulness, ease of system use, ease of understanding information, and sufficiency of metadata elements.

Since the 1990s, studies on the development of metadata elements for web‐based reference resources have been made and applied to the real world. Ever since, many reference resources web sites have been developed. However, it was found that no standard metadata format was built for web‐based reference resources and each website provided its own item to the minimal degree. The result of this study can provide a standardized and more consistent service for web‐based resource.

The purpose of this research was to assess and compare the indexing and ranking of XML‐based content objects containing MARCXML and XML‐based Dublin Core (DCXML) metadata elements by general search engines (Google and Yahoo!), in a comparative analytical study.

One hundred XML content objects in two groups were analyzed: those with MARCXML elements (50 records) and those with DCXML (50 records) published on two web sites (www.dcmixml.islamicdoc.org and www.marcxml.islamicdoc.org).The web sites were then introduced to the Google and Yahoo! search engines.

The indexing of metadata records and the difference between their indexing and ranking were examined using descriptive statistics and a non‐parametric Mann‐Whitney U test. The findings show that the visibility of content objects was possible by all their metadata elements. There was no significant difference between two groups' indexing, but a difference was observed in terms of ranking.

The findings of this research can help search engine designers in the optimum use of metadata elements to improve their indexing and ranking process with the aim of increasing availability. The findings can also help web content object providers in the proper and efficient use of metadata systems.

This is the first research to examine the interoperability between XML‐based metadata and web search engines, and compares the MARC format and DCMI in a research approach.

To explain the background, functionality, and content of the CARL metadata harvester and search service, http://carl‐abrc‐oai.lib.sfu.ca/, and to outline plans for improving the service. Design/methodology/approach – This case study employs simple statistical analyses to a set of harvested metadata.

This paper documents the use of unqualified Dublin Core (uDC) elements in the metadata harvested from the repositories participating in the CARL harvester, and identifies patterns in the use of that metadata. It also compares these findings with a similar study, and identifies areas for further research.

This paper is limited to discussion of the characteristics of a relatively small set of metadata collected using the Open Archives Initiative Protocol for Metadata Harvesting. However, analyses reveal some patterns in the use of this metadata that are valuable in the development of best practices for repository implementers.

This paper documents the use of uDC elements by a specific community. Its findings will form a basis for developing mechanisms for improving the effectiveness of the metadata generated by that community and therefore the services built around that metadata.

While there are several other studies that take an approach similar to that taken in this paper, no one has yet studied this specific data set. More generally, this paper contributes a valuable case study to research on the implementation of the Open Archives Initiative Protocol for Metadata Harvesting.

The purpose of this paper is to construct a digital collection and database of traditional clothing that is convenient for the digital dissemination and application of traditional clothing and provide resources for research on clothing fashion, traditional clothing techniques, clothing culture, history and clothing teaching.

A real object analysis method was used in this paper, based on 15 core elements of the internationally common DC metadata standard, and with consideration to the characteristics of clothing products and clothing industry application specifications, the core elements of DC are expanded to facilitate the detailed record of the characteristic information of clothing, especially the implicit clothing culture. A code symbol compilation method was developed to give each piece of clothing a unique number, facilitating identification, classification and recording. At last, a metadata construction scheme for traditional clothing was developed. A traditional embroidered children's hat and Mamianqunt serve as examples to demonstrate the metadata elements.

The clothing meta-database provides a main body of traditional clothing while also paying attention to the collection of cultural elements. It is composed of five layers of classified data, source data, characteristic data, connotation data and management data, as well as 28 data elements, providing ease of sharing and interoperation.

This paper expands the subset of fashion metadata by describing traditional clothing metadata, especially the excavation of clothing cultural elements, and developing code compilation methods so that each clothing product can obtain a unique identification number, thereby building a traditional clothing metadata construction scheme consisting of five data layers and containing 28 data elements. This scheme records the information about each layer of traditional clothing in detail and provides shared data for discipline research and industry applications.

The purpose of this paper is to investigate the metadata standards available worldwide and to study those in detail. The paper presents the detailed analysis of these standards.

The methodology adopted was investigative. Data were collected through e‐mails and visiting the relevant web sites.

No one existing metadata standard covers all the required facets. In such cases, an implementer is require to create a new scheme with the desired metadata elements but such schemes create a number of issues in interoperating. Another solution to this problem is to create extra elements to fill gaps in the coverage. Interoperability problems can be overcome by publications of new elements declaring their definitions, formats and so on.

Few studies have compared some of the well‐known standards. This study gives a detailed analysis of the metadata standards available worldwide and it will help in comparing and adopting the required standard for the repositories.

In July of 2001, with funding from the Andrew W. Mellon Foundation, the University of Illinois at Urbana‐Champaign undertook a project to test the efficacy of using the Open Archives Initiative Protocol for Metadata Harvesting to construct a search and discovery service focused on information resources in the domain of cultural heritage. To date, the Illinois project has indexed over two million Dublin Core metadata records contributed by 39 metadata repositories in the museum, academic library, and digital library project communities. These records describe a mix of digital and analog primary content. Our analysis of these metadata records demonstrates wide divergence in descriptive metadata practices and the use and interpretation of Dublin Core metadata elements. Differences are particularly notable by community. This article provides an overview of the Illinois project, presents quantitative data about divergent metadata practices and element usage patterns, and details implications for metadata providers and harvesting services.

This article is a survey of representative metadata efforts comparing them to MARC 21 metadata in order to determine if new electronic formats require the development of a new set of standards. This study surveys the ongoing metadata projects in order to identify what types of metadata exist and how they are used and also compares and analyzes selected metadata elements in an attempt to illustrate how they are related to MARC 21 metadata format elements.

The purpose of this paper is to propose a solution for designing a metadata scheme for multi-type manuscripts based on a comparison of various existing metadata schemes.

The diversity of manuscript types is analysed. Descriptive scheme based on machine-readable MARC and metadata specifications-based descriptive scheme are compared. User tasks and resource features are analysed. Several challenges are posed and resolved through the design and establishment of a metadata scheme for the T.D. Lee Archives Online.

Clarify an approach for developing a metadata scheme for multi-type manuscripts.

From a multi-type perspective, this study designs a metadata scheme, establishes the element set and expands elements by studying a typical practice case. Useful suggestions for libraries, archives and museums are provided.