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In July 1999 the Australian Recordkeeping Metadata Schema (RKMS) was approved by its academic and industry steering group. The RKMS has inherited elements from and built on many other metadata standards associated with information management. It has also contributed to the development of subsequent sector specific recordkeeping metadata sets. The importance of the RKMS as a framework for mapping or reading other sets, and also as a standardised set of metadata available for adoption in diverse implementation environments, is now emerging. This paper explores the context of the Australian SPIRT1 Recordkeeping Metadata Project, and the conceptual models developed by the SPIRT Research Team as a framework for standardising and defining recordkeeping metadata. It then introduces the elements of the SPIRT Recordkeeping Metadata Schema and explores its functionality, before discussing implementation issues and future directions

The purpose of this paper is to evaluate ontologies with respect to the linked data principles. This paper presents a concrete interpretation of the four linked data principles applied to ontologies, along with an implementation that automatically detects violations of these principles and fixes them (semi-automatically). The implementation is applied to a number of state-of-the-art ontologies.

Based on a precise and detailed interpretation of the linked data principles in the context of ontologies (to become as reusable as possible), the authors propose a set of algorithms to assess ontologies according to the four linked data principles along with means to implement them using a Java/Jena framework. All ontology elements are extracted and examined taking into account particular cases, such as blank nodes and literals. The authors also provide propositions to fix some of the detected anomalies.

The experimental results are consistent with the proven quality of popular ontologies of the linked data cloud because these ontologies obtained good scores from the linked data validator tool.

The proposed approach and its implementation takes into account the assessment of the four linked data principles and propose means to correct the detected anomalies in the assessed data sets, whereas most LD validator tools focus on the evaluation of principle 2 (URI dereferenceability) and principle 3 (RDF validation); additionally, they do not tackle the issue of fixing detected errors.

To explore the impact of using metadata in finding and ranking web pages through search engines.

The study has been divided into two phases. In phase one, the use of metadata schemes and the impact of overlapped documents have been examined by employing the usability technique. Phase two examined the impact of adding metadata elements to web pages in their original rank order, using the experimental method. This study focuses on indexing web pages using metadata and its impact on search engine's rankings.

Meta tags are more widely used than Dublin Core. The overlapped pages tend to include metadata. The second phase shows that by adding metadata elements to web pages, it raises its rank order. However, this depends on the quality of the description and the metadata schemes. The study shows no great difference in page ranking between adding meta tags and Dublin Core.

To maximize the impact of metadata, more attention should be given to keyword and descriptive fields.

The hypothetical relationship between overlapped pages and the inclusion of metadata and indexing by search engines had not been previously examined.

This study aims to explore the development of cataloguing standards used to organize information sources in libraries and information centers. Its key objective is to assess the challenges faced by information professionals to apply new bibliographic standards in linked data (LD) environment.

This study is based on extensive review of scholarly literature. Several databases were searched to identify relevant literature. Keywords such as RDA, FRBR, MARC and BIBFRAME were used along with LD to conduct search. Related literature was consulted and reviewed accordingly.

Findings reveal that cataloguing standards are subsequently evolving with the advancement of information technology. Libraries have been publishing their legacy metadata into LD. Many tools are developed for mapping the library metadata into LD applications. The Library of Congress has developed BIBFRAME model to fulfill the requirements of new bibliographic standards by using LD technology. It is found that extensive use of MARC standards, complexity of LD technologies, non-availability of vocabulary and inconsistency of terminologies are the major challenges for libraries to adopt LD applications.

This review will be a valuable addition for LIS scholars to understand the challenges of LD application. This study would be significant for the library community and policymakers who are interested in implementing LD technologies.

This paper is a one of its kind, where the development in cataloguing models and standards is explained along with the challenges to adopt LD applications for legacy data.

The purpose of this paper is to use ideas drawn from two founders of American pragmatism, William James and Charles Sanders Peirce, in order to propose a philosophical foundation that supports the value of collaborative tagging and reinforces the structure and goals of the Semantic Web.

The study employs a close analysis of key literature by James and Peirce to answer recent calls for a philosophy of the Web and to respond to research in the LIS literature that has assessed the value and limitations of folksonomy. Moreover, pragmatic views are applied to illustrate the relationships among collaborative tagging, linked data, and the Semantic Web.

With a philosophical foundation in place, the study highlights the value of the minority tags that fall within the so-called “long tail” of the power law graph, and the importance of granting sufficient time for the full value of folksonomy to be revealed. The discussion goes further to explore how “collaborative tagging” could evolve into “collaborative knowledge” in the form of linked data. Specifically, Peirce’s triadic architectonic is shown to foster an understanding of the construction of linked data through the functional requirements for bibliographic records entity-relation model and resource description framework triples, and James’s image of the multiverse anticipates the goals Tim Berners-Lee has articulated for the Semantic Web.

This study is unique in using Jamesian and Peircean thinking to argue for the value of folksonomy and to suggest implications for the Semantic Web.

This paper presents the development of guidelines for assuring quality and consistency in the creation of high quality information gateways and portals on the Internet. This method is presented as a transferable model for quality assurance in the use and development of learning technologies, and as an example of good practice in the management of information on the Internet. The paper demonstrates the importance of quality assurance as part of the process, illustrating how structured guidelines can be used to support the transfer of good practice.

The purpose of this paper is to explore useful Semantic Web technologies and ontology-based applications for digital libraries. It also investigates the perceptions of university librarians and academicians in Pakistan about Semantic Web technologies and their use in digital libraries.

An exploratory research design based on Delphi research strategy was conducted to answer the research questions. Interviews were conducted with a purposive sample of 50 key informants including university librarians and academicians to explore their perceptions about Semantic Web technologies and their use in digital libraries. Thematic analysis of interview data was conducted to obtain results.

The results of this paper showed that DuraCloud, Semantic information mashup, OntoEdit and resource description framework (RDF) are the various Semantic Web applications which are useful for digital libraries to develop semantic relationships among digital contents and increase their accessibility in the web environment. Findings revealed that Semantic Web provides precise results and meets user information needs in an effective way. Results also showed that next-generation digital libraries use context-awareness technology, intelligent agent software and detecting sensors to analyze user information needs and provide dynamic information services. This paper recommended that librarians should embrace the use of emerging web technologies in libraries and offer library services through the medium of the web.

This paper envisaged the future of digital library services and Semantic Web applications that can be used to re-structure metadata of digital library. This paper has practical implications for librarians to consider the useful applications of Semantic Web for digital library and enhance the interoperability of metadata among heterogeneous information systems. Practically, results obtained from this paper are highly useful for library schools and LIS teachers to up-date their curriculum by incorporating new contents related to web languages and Semantic Web applications for digital libraries.

This paper identifies various Semantic Web applications which are useful for developing Semantic Digital Libraries.

With the rising concern of safety, health and environmental performance, eco-labeled product and service are becoming more and more popular. However, the long and complex process of eco-labeling sometimes demotivates manufacturers and service providers to be certificated. The purpose of this paper is to propose a decision support platform aiming at further improvement and acceleration of the eco-labeling process in order to democratize a broader application and certification of eco-labels, also to consolidate the credibility and validity of eco-labels.

This decision support platform is based on a comprehensive knowledge base composed of various domain ontologies that are constructed according to an official eco-label criteria documentation.

Through standard Resource Description Framework and Web Ontology Language ontology query interface, the assets of the decision support platform will stimulate domain knowledge sharing and can be applied into other applications. A case study of laundry detergent eco-labeling process is also presented in this paper.

The authors present a reasoning methodology based on inference with Semantic Web Rule Language (SWRL) rules which allows decision making with explanation.

Research data management (RDM) is gaining a lot of momentum in the present day and rightly so. Research data are the core of any research study. The findings and conclusions of a study are entirely dependent on the research data. Traditional publishing did not focus on the presentation of data, along with the publications such as research monographs and especially journal articles, probably because of the difficulties involved in managing the research data sets. The current day technology, however, has helped in making this task easier. The purpose of this paper is to present a conceptual framework for managing research data at the institutional level.

This paper discusses the significance and advantages of sharing research data. In the spirit of open access to publications, freeing research data and making it available openly, with minimal restrictions, will help in not only furthering research and development but also avoiding duplication of efforts. The issues and challenges involved in RDM at the institutional level are discussed.

A conceptual framework for RDM at the institutional level is presented. A model for a National Repository of Open Research Data (NRORD) is also proposed, and the workflow of the functioning of NRORD is also presented.

The framework clearly presents the workflow of the data life-cycle in its various phases right from its creation, storage, organization and sharing. It also attempts to address crucial issues in RDM such as data privacy, data security, copyright and licensing. The framework may help the institutions in managing the research data life-cycle in a more efficient and effective manner.

The purpose of this study is to introduce several metrics that enable universal and fine-grained characterization of arbitrary Linked Data repositories. Publicly accessible SPARQL endpoints contain vast amounts of knowledge from a large variety of domains. However, oftentimes these endpoints are not configured to process specific workloads as efficiently as possible. Assisting users in leveraging SPARQL endpoints requires insight into functional and non-functional properties of these knowledge bases.

This study presents comprehensive approaches for deriving these metrics. More specifically, the study utilizes concrete SPARQL queries to determine corresponding values. Furthermore, it validates and discusses the introduced metrics through extensive evaluation on real-world SPARQL endpoints.

The evaluation determined that endpoints exhibit different characteristics. While it comes as no surprise that latency and throughput are influenced by the network infrastructure, the costs for join operations depend on a number of factors that are not obvious to a data consumer. Moreover, as the author discusses mean, median and upper quartile values, it was found both endpoints behaving consistently as well as repositories offering varying levels of performance.

On the one hand, the contribution of the authors work lies in assisting data consumers in evaluation of the quality of service of publicly available SPARQL endpoints. On the other hand, the performance metrics introduced in this study can also be considered as additional input features for distributed query processing frameworks. Moreover, the author provides a universal means for discerning characteristics of different SPARQL endpoints without the need of (synthetic or real-world) query workloads.