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Abstract

This book proposes a novel approach to classification, discusses its myriad advantages, and outlines how such an approach to classification can best be pursued. It encourages a collaborative effort toward the detailed development of such a classification. This book is motivated by the increased importance of interdisciplinary scholarship in the academy, and the widely perceived shortcomings of existing knowledge organization schemes in serving interdisciplinary scholarship. It is designed for scholars of classification research, knowledge organization, the digital environment, and interdisciplinarity itself. The approach recommended blends a general classification with domain-specific classification practices. The book reaches a set of very strong conclusions:
-Existing classification systems serve interdisciplinary research and teaching poorly. -A novel approach to classification, grounded in the phenomena studied rather than disciplines, would serve interdisciplinary scholarship much better. It would also have advantages for disciplinary scholarship. The productivity of scholarship would thus be increased. -This novel approach is entirely feasible. Various concerns that might be raised can each be addressed. The broad outlines of what a new classification would look like are developed. -This new approach might serve as a complement to or a substitute for existing classification systems. -Domain analysis can and should be employed in the pursuit of a general classification. This will be particularly important with respect to interdisciplinary domains. -Though the impetus for this novel approach comes from interdisciplinarity, it is also better suited to the needs of the Semantic Web, and a digital environment more generally. Though the primary focus of the book is on classification systems, most chapters also address how the analysis could be extended to thesauri and ontologies. The possibility of a universal thesaurus is explored. The classification proposed has many of the advantages sought in ontologies for the Semantic Web. The book is therefore of interest to scholars working in these areas as well.

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Abstract

This is a practical guide to using web metrics to measure impact and demonstrate value. The web provides an opportunity to collect a host of different metrics, from those associated with social media accounts and websites to more traditional research outputs. This book is a clear guide for library and information professionals as to what web metrics are available and how to assess and use them to make informed decisions and demonstrate value. As individuals and organizations increasingly use the web in addition to traditional publishing avenues and formats, this book provides the tools to unlock web metrics and evaluate the impact of this content. The key topics covered include: bibliometrics, webometrics and web metrics; data collection tools; evaluating impact on the web; evaluating social media impact; investigating relationships between actors; exploring traditional publications in a new environment; web metrics and the web of data; the future of web metrics and the library and information professional. The book will provide a practical introduction to web metrics for a wide range of library and information professionals, from the bibliometrician wanting to demonstrate the wider impact of a researcher's work than can be demonstrated through traditional citations databases, to the reference librarian wanting to measure how successfully they are engaging with their users on Twitter. It will be a valuable tool for anyone who wants to not only understand the impact of content, but demonstrate this impact to others within the organization and beyond.

Content

1. Introduction. MetricsIndicators -- Web metrics and Ranganathan's laws of library science -- Web metrics for the library and information professional -- The aim of this book -- The structure of the rest of this book -- 2. Bibliometrics, webometrics and web metrics. Web metrics -- Information science metrics -- Web analytics -- Relational and evaluative metrics -- Evaluative web metrics -- Relational web metrics -- Validating the results -- 3. Data collection tools. The anatomy of a URL, web links and the structure of the web -- Search engines 1.0 -- Web crawlers -- Search engines 2.0 -- Post search engine 2.0: fragmentation -- 4. Evaluating impact on the web. Websites -- Blogs -- Wikis -- Internal metrics -- External metrics -- A systematic approach to content analysis -- 5. Evaluating social media impact. Aspects of social network sites -- Typology of social network sites -- Research and tools for specific sites and services -- Other social network sites -- URL shorteners: web analytic links on any site -- General social media impact -- Sentiment analysis -- 6. Investigating relationships between actors. Social network analysis methods -- Sources for relational network analysis -- 7. Exploring traditional publications in a new environment. More bibliographic items -- Full text analysis -- Greater context -- 8. Web metrics and the web of data. The web of data -- Building the semantic web -- Implications of the web of data for web metrics -- Investigating the web of data today -- SPARQL -- Sindice -- LDSpider: an RDF web crawler -- 9. The future of web metrics and the library and information professional. How far we have come -- The future of web metrics -- The future of the library and information professional and web metrics.

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Abstract

This book offers a comprehensive guide to the world of metadata, from its origins in the ancient cities of the Middle East, to the Semantic Web of today. The author takes us on a journey through the centuries-old history of metadata up to the modern world of crowdsourcing and Google, showing how metadata works and what it is made of. The author explores how it has been used ideologically and how it can never be objective. He argues how central it is to human cultures and the way they develop. Metadata: Shaping Knowledge from Antiquity to the Semantic Web is for all readers with an interest in how we humans organize our knowledge and why this is important. It is suitable for those new to the subject as well as those know its basics. It also makes an excellent introduction for students of information science and librarianship.

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Footnote

Rez. in: JASIST. 58(2007) no.4, S.606-607 (L.E. Harris): "Spanning is not a methodological "how-to"; rather it is a "how-tothink" book, intended for academicians and practitioners, on developing useful theory. Each chapter opens with a brief scenario, generally derived from Crowley's extensive personal experience as a librarian, university professor, and consultant, exemplifying the theme for that chapter. In chapter one, "Theorizing for Diverging Contexts: Why Research Results and Theory Development are So Little Used Outside the Campus," Crowley describes a doctoral candidate's experience in presenting her research at a national conference of working professionals. When the presentation is negatively received, the student's mentor rationalized the response by stating, "You have to remember, most of the people in the audience only have a master's degree" (p. 2). From this example, a cogent argument is distilled on how pervasive the theorypractice divide is in various academic domains, such as business, law, sociology, and LIS. What is useful research and theory for academicians seeking career and professional advancement does not translate into for practitioners engaged in specific institutional/organizational environments. Cultural pragmatism is introduced as an aid to researchers in both camps for its inclusion of context specificity and the need for testing a theory's usefulness through continually analyzed experience. Herein, the structural foundation for the bridge is constructed in the section on communication. The development of an interlanguage between academicians and practitioners will minimize incommensurability, "the perceived inability of humans to communicate effectively with one another due to a lack of common standards for meaning and other shared foundations" (p. 15). In this vein, Crowley presents five maxims, based on the works of John Stuart Mill, for developing useful, real world theory. The chapter ends, as do several others, addressing the divide specifically in the LIS domain. One of the most thought-provoking chapters is "Developing a Research Philosophy," which includes sections on inductive reasoning, how people really think, and a discussion of the battle between intellectual formations and internalized models. As a teacher of experienced and/or mature students in an LIS program, I instantly recognized the description of a reoccurring classroom event: what happens when introducing theory or research results that contradict students' experiences, and therefore, their internalized models of "how things really work in the field." Crowley suggests that in seeking a research philosophy, persuasion should not be a primary concern. This simple suggestion encouraged me to reconsider my posture when faced with this classroom issue. However, this chapter may be considered one of the weakest in the book, because of its rather slim treatment of considerations for selecting a useful research philosophy, despite the emphasis on the importance of the concept. Nevertheless, this chapter is foundational to the work presented in the remaining chapters.