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This chapter aims to help librarians understand the underlying rationale for Resource Description and Access (RDA) and recognize the great potential of the Semantic Web for libraries.

It explains the linked data model and Semantic Web technologies in basic, informative terms, and describes how the Semantic Web is constructed. Semantic Web standards and technologies are discussed in detail, including URI, RDF, and ontologies. The study also traces the development of RDA and some of the major library Semantic Web projects. The authors explore how RDA shapes bibliographical data and prepares it for linked data in the Semantic Web. In addition, this study examines what libraries in the United States and the rest of the world have achieved in implementing RDA since its release.

RDA is the correct approach libraries should take.

This is the first and only chapter that covers the development of RDA in other countries as well as in the United States. It is highly informative for anyone who wishes to understand the RDA and Semantic Web and their relevance to libraries in a short period of time.

Purpose – To investigate the potential of the semantic web as a source of information about social networks within academia, as well as more widely for webometric investigations.

Methodology – The functionality of five semantic search engines were analyzed to determine their suitability for webometric investigations, with the most suitable, Sindice.com, then being used to investigate the use of Friend of a Friend (FOAF) within UK academic web space.

Findings – In comparison to the web of documents, the semantic web is still a small part of online content. Even the well-established FOAF social vocabulary was not found on the majority of academic web sites, let alone being found to represent the majority of academics, and provided little indication of social networks between institutions. Nonetheless from a webometric perspective the study does show the potential of a semantic web for a far wider range of webometric investigations, and demonstrates that, unlike the traditional web, there are currently useful tools available.

Implications – Having established that there are appropriate tools available for webometric investigations of the semantic web, and acknowledging the potential of the semantic web for far more detailed webometric investigations, there is a need for additional studies to determine the specific strengths and limitations of the tools that are available, and investigate those areas where webometric investigations can provide the most useful insights.

Originality/value – The research applies established webometric methodologies to the social semantic web, demonstrating the potential of a whole new area for future webometric investigation.

This chapter will explore how assessment might look in next generation learning spaces where we have the potential to merge physical and virtual activities. Students now have ready access to a world of resources within their classroom and this fundamentally changes the nature of learning and assessment. The trend toward gamification of learning and assessment will be examined and the issue of assessment in new educational environments such as MOOCs will be explored. The impact of the semantic web (Web 3.0), where web objects and their context are all linked and objects have memory of how an individual student used them on previous occasions, will be discussed.

Next generation learning spaces encapsulate the affordances of both physical and virtual spaces and yet many assessment tasks are still designed as if students occupied only one of these spaces. Teachers will need to design more authentic, meaningful tasks that will engage students in using the full range of their capabilities and available resources, both physical and virtual. Students come together physically to engage in the social construction of their knowledge and can use the virtual spaces to broaden the social dimension of their learning environment.

Gamification of learning and assessment will require new approaches to defining tasks as teachers will need to decide how to incorporate diagnostic, formative, and summative assessment components within a more holistic educational environment. Game theory will be blended with learning theory in curriculum design and will result in the redesign of learning and assessment activities that are based on engagement (flow), user needs, and an evidence-centered design approach.

Through a theoretical review of the literature, this chapter assesses the potential of different knowledge organisation systems (KOS) to support corporate knowledge management systems (KMS), namely digital libraries (DL) in companies and other institutions. Questions are framed through which the chapter discusses how classical KOS, such as nomenclatures, classification systems, thesauri and ontologies, are able to reflect explicit knowledge in sense of the Semantic Web and also introduces persons as documents along with folksonomies as a means for externalising implicit knowledge in sense of the Web 2.0.

This chapter traces the history of digital libraries (DLs) in the United States through the funding sources that have supported DL research and development over the past decade and a half. A set of related questions are addressed: How have the mission and goals of funding agencies affected the types of projects that have been funded? What have been the deliverables from funded projects and how have the goals of the funding agencies shaped those deliverables? Funding agencies have exerted strong influence over research and development in DLs, and different funding agencies have funded different types of projects, with varying sets of concerns for driving the various fields that feed into DLs. This chapter will address the impact that DL funding has had on the development of research in the field of Library and Information Science, as well as on the practice of librarianship.

This chapter helps us to understand the staffing and workflow ramifications of Linked Data. A survey of the current state of metadata work, compared to the possibilities and intentions of Linked Data modeling and technology, allows us to make a needs assessment for future planning. Findings are that current trends in metadata work – distributed production alongside centralized management, iterative and collaborative resource description – are appropriate in a Linked Data environment, and should be further cultivated. A plan for training staff on the conceptual modeling of Linked Data is also outlined, together providing a launching pad to begin organizational planning for Linked Data.

The purpose of this chapter is to introduce the basic concepts and principles of linked data, discuss benefits that linked data provides in library environments, and present a short history of the development of library linked data.

The chapter is based on the literature review dealing with linked data, especially focusing on the library field.

In the library field, linked data is especially useful for expanding bibliographic data and authority data. Although diverse structured data is being produced by the library field, the lack of compatibility with the data from other fields currently limits the wider expansion and sharing of linked data.

The value of this chapter can be found in the potential use of linked data in the library field for improving bibliographic and authority data. Especially, this chapter will be useful for library professionals who have interests in the linked data regarding its applications in a library setting.