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Content

4. Classification and ontology in specific subjects Andrew Buxton: Ontologies and classification of chemicals: can they help each other? - Wolfram Sperber; Patrick D. F. Ion: Content analysis and classification in mathematics 5. Categories and relations: key elements of ontologies Roberto Poli: Ontology as categorial analysis - Dagobert Soergel: Towards a relation ontology for the Semantic Web - Rebecca Green; Michael Panzer: Relations in the notational hierarchy of the Dewey Decimal Classification 6. Modelling concepts and structures in analytico-synthetic classifications Ingetraut Dahlberg: A faceted classification of general concepts - Claudio Gnoli; Philippe Cousson; Tom Pullman; Gabriele Merli; Rick Szostak: Representing the structural elements of a freely faceted classification - Vanda Broughton: Facet analysis as a tool for modelling subject domains and terminologies - Devika P. Madalli; A. R. D. Prasad: Analytico synthetic approach for handling knowledge diversity in media content analysis
7. Transforming and extending classification systems Joan S. Mitchell; Marcia Lei Zeng; Maja Zumer: Extending models for controlled vocabularies to classification systems: modelling DDC with FRSAD - Fran Alexander; Andy Heather: Transformation of a legacy UDC-based classification system: exploiting and remodelling semantic relationships - Posters - Short papers Andrea Scharnhorst; Almila Akdag Salah; Krzysztof Suchecki; Cheng Gao; Richard P. Smiraglia: The evolution of knowledge, and its representation in classification systems - Charles van den Heuvel; Almila Akdag Salah; Knowledge Space Lab: Visualizing universes of knowledge: designs and visual analysis of the UDC - Ricardo Eito-Brun; Alfredo Calosci: UDC as a knowledge framework for building a civil engineering ontology: a practical approach to knowledge representation and visualization

Editor

Slavic, A. u. E. Civallero

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Abstract

Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software technology have lead to a number of unique scenarios where text mining algorithms are learned. Mining Text Data introduces an important niche in the text analytics field, and is an edited volume contributed by leading international researchers and practitioners focused on social networks & data mining. This book contains a wide swath in topics across social networks & data mining. Each chapter contains a comprehensive survey including the key research content on the topic, and the future directions of research in the field. There is a special focus on Text Embedded with Heterogeneous and Multimedia Data which makes the mining process much more challenging. A number of methods have been designed such as transfer learning and cross-lingual mining for such cases. Mining Text Data simplifies the content, so that advanced-level students, practitioners and researchers in computer science can benefit from this book. Academic and corporate libraries, as well as ACM, IEEE, and Management Science focused on information security, electronic commerce, databases, data mining, machine learning, and statistics are the primary buyers for this reference book.

Content

Inhalt: An Introduction to Text Mining.- Information Extraction from Text.- A Survey of Text Summarization Techniques.- A Survey of Text Clustering Algorithms.- Dimensionality Reduction and Topic Modeling.- A Survey of Text Classification Algorithms.- Transfer Learning for Text Mining.- Probabilistic Models for Text Mining.- Mining Text Streams.- Translingual Mining from Text Data.- Text Mining in Multimedia.- Text Analytics in Social Media.- A Survey of Opinion Mining and Sentiment Analysis.- Biomedical Text Mining: A Survey of Recent Progress.- Index.

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Abstract

Ask a person on the street whether new technologies bring about important social change and you are likely to hear a resounding "yes." But the answer is less definitive amongst academics who study technology and social practice. Scholarly writing has been heavily influenced by the ideology of technological determinism - the belief that some types or technologically driven social changes are inevitable and cannot be stopped. Rather than argue for or against notions of determinism, the authors in this book ask how the materiality (the arrangement of physical, digital, or rhetorical materials into particular forms that endure across differences in place and time) of technologies, ranging from computer-simulation tools and social media, to ranking devices and rumors, is actually implicated in the process of formal and informal organizing. The book builds a new theoretical framework to consider the important socio-technical changes confronting people's everyday experiences in and outside of work. Leading scholars in the field contribute original chapters examining the complex interactions between technology and the social, between artifact and humans. The discussion spans multiple disciplines, including management, information systems, informatics, communication, sociology, and the history of technology, and opens up a new area of research regarding the relationship between materiality and organizing.

Content

Materiality and Organizing marks a long overdue turning point in the scholarly study of the human-technology relationship that now engulfs our lives. For too long, researchers have tended to treat technology as a dream conjured by agents and imbued with their projects. This brilliant sequence of essays restores and deepens the entire field of perception. It finally returns us to the facticity of technology as it persistently redefines the horizon of the possible. These tightly argued masterpieces reestablish technology as embodied and significant. Most importantly, they return us to materiality just in time. With each passing day, technology becomes both more abstracted from its physical manifestations and more ubiquitous, producing a dematerialized materiality. Only a relentless focus on this paradox will yield the intellectual tools that are required to participate in our own destinies. Shoshana Zuboff, Charles Edward Wilson Professor, Harvard Business School This volume is a much-needed exploration of the material aspects of the technologies that have reshaped our world. For two decades, a narrative framing technologies as social constructions has led to important advances in our understanding of their nature and impacts. Materiality and Organizing provides an important counterbalance to this approach in its exploration of the dimensions of materiality that constrain but also enable technologies to connect with and affect people, organizations, and society. This volume is required reading for scholars interested in technology, its development, and its impacts. Its insights into information technology are particularly significant. Professor Marshall Scott Poole, University of Illinois Urbana-Champaign For too long the materiality of social life has been ignored by sociologists and organization studies scholars. The role of materiality in social life is turning out to be one of the most interesting and difficult issues in the field. This multidisciplinary collection does not offer a single solution but offers the latest thoughts of scholars who try and take materiality seriously in their own research. The resulting volume is a deep and fascinating collection of essays. (Professor Trevor Pinch, Cornell University)

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Abstract

The 4th edition of this popular and well-cited text is now co-authored, and includes significant changes from earlier texts. Presenting a comprehensive review of over a century of research on information behavior (IB), this book is intended for students in information studies and disciplines interested in research on information activities. The initial two chapters introduce IB as a multi-disciplinary topic, the 3rd provides a brief history of research on information seeking. Chapter four discusses what is meant by the terms "information" and "knowledge. "Chapter five discusses "information needs," and how they are addressed. The 6th chapter identifies many related concepts. Twelve models of information behavior (expanded from earlier editions) are illustrated in chapter seven. Chapter eight reviews various paradigms and theories informing IB research. Chapter nine examines research methods invoked in IB studies and a discussion of qualitative and mixed approaches. The 10th chapter gives examples of IB studies by context. The final chapter looks at strengths and weaknesses, recent trends, and future development.

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Abstract

The identification and contextual definition of concepts is the core of knowledge organization. The full expression of comprehension is accomplished through the use of an extension device called the facet. A facet is a category of dimensional characteristics that cross the hierarchical array of concepts to provide extension, or breadth, to the contexts in which they are discovered or expressed in knowledge organization systems. The use of the facet in knowledge organization has a rich history arising in the mid-nineteenth century. As it has matured through more than a century of application, the notion of the facet in knowledge organization has taken on a variety of meanings, from that of simple categories used in web search engines to the more sophisticated idea of intersecting dimensions of knowledge. This book describes the state of the art of the understanding of facets in knowledge organization today.

Content

Inhalt: Richard P. Smiraglia: A Brief Introduction to Facets in Knowledge Organization / Kathryn La Barre: Interrogating Facet Theory: Decolonizing Knowledge Organization / Joseph T. Tennis: Never Facets Alone: The Evolving Thought and Persistent Problems in Ranganathan's Theories of Classification / M. P. Satija and Dong-Guen Oh: The DDC and the Knowledge Categories: Dewey did Faceting without Knowing It / Claudio Gnoli: Classifying Phenomena Part 3: Facets / Rick Szostak: Facet Analysis Without Facet Indicators / Elizabeth Milonas: An Examination of Facets within Search Engine Result Pages / Richard P. Smiraglia: Facets for Clustering and Disambiguation: The Domain Discourse of Facets in Knowledge Organization

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Abstract

Social tagging, hashtags, and geotags are used across a variety of platforms (Twitter, Facebook, Tumblr, WordPress, Instagram) in different countries and cultures. This book, representing researchers and practitioners across different information professions, explores how social tags can link content across a variety of environments. Most studies of social tagging have tended to focus on applications like library catalogs, blogs, and social bookmarking sites. This book, in setting out a theoretical background and the use of a series of case studies, explores the role of hashtags as a form of linked data?without the complex implementation of RDF and other Semantic Web technologies.

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Abstract

This book addresses some of the key questions that scientists have been asking themselves for centuries: what is knowledge? What is information? How do we know that we know something? How do we construct meaning from the perceptions of things? Although no consensus exists on a common definition of the concepts of information and communication, few can reject the hypothesis that information - whether perceived as « object » or as « process » - is a pre-condition for knowledge. Epistemology is the study of how we know things (anglophone meaning) or the study of how scientific knowledge is arrived at and validated (francophone conception). To adopt an epistemological stance is to commit oneself to render an account of what constitutes knowledge or in procedural terms, to render an account of when one can claim to know something. An epistemological theory imposes constraints on the interpretation of human cognitive interaction with the world. It goes without saying that different epistemological theories will have more or less restrictive criteria to distinguish what constitutes knowledge from what is not. If information is a pre-condition for knowledge acquisition, giving an account of how knowledge is acquired should impact our comprehension of information and communication as concepts. While a lot has been written on the definition of these concepts, less research has attempted to establish explicit links between differing theoretical conceptions of these concepts and the underlying epistemological stances. This is what this volume attempts to do. It offers a multidisciplinary exploration of information and communication as perceived in different disciplines and how those perceptions affect theories of knowledge.

Content

Introduction; 1. Fidelia Ibekwe-SanJuan and Thomas Dousa.- 2. Cybersemiotics: A new foundation for transdisciplinary theory of information, cognition, meaning, communication and consciousness; Soren Brier.- 3. Epistemology and the Study of Social Information within the Perspective of a Unified Theory of Information;Wolfgang Hofkirchner.- 4. Perception and Testimony as Data Providers; Luciano Floridi.- 5. Human communication from the semiotic perspective; Winfried Noth.- 6. Mind the gap: transitions between concepts of information in varied domains; Lyn Robinson and David Bawden.- 7. Information and the disciplines: A conceptual meta-analysis; Jonathan Furner.- 8. Epistemological Challenges for Information Science; Ian Cornelius.- 9. The nature of information science and its core concepts; Birger Hjorland.- 10. Visual information construing: bistability as a revealer of mediating patterns; Sylvie Leleu-Merviel. - 11. Understanding users' informational constructs via a triadic method approach: a case study; Michel Labour. - 12. Documentary languages and the demarcation of information units in textual information: the case of Julius O. Kaisers's Systematic Indexing

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Abstract

We are in 2013, and multiword expressions have been around for a while in the computational linguistics research community. Since the first ACL workshop on MWEs 12 years ago in Sapporo, Japan, much has been discussed, proposed, experimented, evaluated and argued about MWEs. And yet, they deserve the publication of a whole special issue of the ACM Transactions on Speech and Language Processing. But what is it about multiword expressions that keeps them in fashion? Who are the people and the institutions who perform and publish groundbreaking fundamental and applied research in this field? What is the place and the relevance of our lively research community in the bigger picture of computational linguistics? Where do we come from as a community, and most importantly, where are we heading? In this introductory article, we share our point of view about the answers to these questions and introduce the articles that compose the current special issue.

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Editor

Slavic, A. u. M.I. Cordeiro

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Abstract

Metadata research has emerged as a discipline cross-cutting many domains, focused on the provision of distributed descriptions (often called annotations) to Web resources or applications. Such associated descriptions are supposed to serve as a foundation for advanced services in many application areas, including search and location, personalization, federation of repositories and automated delivery of information. Indeed, the Semantic Web is in itself a concrete technological framework for ontology-based metadata. For example, Web-based social networking requires metadata describing people and their interrelations, and large databases with biological information use complex and detailed metadata schemas for more precise and informed search strategies. There is a wide diversity in the languages and idioms used for providing meta-descriptions, from simple structured text in metadata schemas to formal annotations using ontologies, and the technologies for storing, sharing and exploiting meta-descriptions are also diverse and evolve rapidly. In addition, there is a proliferation of schemas and standards related to metadata, resulting in a complex and moving technological landscape - hence, the need for specialized knowledge and skills in this area. The Handbook of Metadata, Semantics and Ontologies is intended as an authoritative reference for students, practitioners and researchers, serving as a roadmap for the variety of metadata schemas and ontologies available in a number of key domain areas, including culture, biology, education, healthcare, engineering and library science.

Editor

Sicilia, M.-A.

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Abstract

The Internet has been integral to the globalization of a range of goods and production, from intellectual property and scientific research to political discourse and cultural symbols. Yet the ease with which it allows information to flow at a global level presents enormous regulatory challenges. Understanding if, when, and how the law should regulate online, international flows of information requires a firm grasp of past, present, and future patterns of information flow, and their political, economic, social, and cultural consequences.In The Global Flow of Information, specialists from law, economics, public policy, international studies, and other disciplines probe the issues that lie at the intersection of globalization, law, and technology, and pay particular attention to the wider contextual question of Internet regulation in a globalized world. While individual essays examine everything from the pharmaceutical industry to television to "information warfare" against suspected enemies of the state, all contributors address the fundamental question of whether or not the flow of information across national borders can be controlled, and what role the law should play in regulating global information flows.

Content

Inhalt: Perspectives on the global flow of information / Ramesh Subramanian and Eddan Katz -- Mcdonalds, Wienerwald, and the corner deli / Victoria Reyes and Miguel Angel Centeno -- Internet TV and the global flow of filmed entertainment / Eli Noam -- Piracy, creativity and infrastructure : rethinking access to culture / Lawrence Liang -- Prospects for a global networked cultural heritage : law versus technology? / Stanley N. Katz -- The cultural exception to trade laws / C. Edwin Baker -- Weighing the scales : the Internet's effect on state-society relations / Daniel W. Drezner -- Local nets on a global network : filtering and the internet governance problem / John G. Palfrey, Jr. -- Law as a network standard / Dan L. Burk -- Emerging market pharmaceutical supply : a prescription for sharing the benefits of global information flow / Frederick M. Abbott -- The flow of information in modern warfare / Jeremy M. Kaplan -- Information flow in war and peace / James Der Derian -- Power over the information flow / Dorothy E. Denning -- Information power : the information society from an antihumanist perspective / Jack M. Balkin

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Abstract

The advent of new information retrieval (IR) technologies and approaches to storage and retrieval provide communities with previously unheard of opportunities for mass documentation, digitization, and the recording of information in all its forms. This book introduces and contextualizes these developments and looks at supporting research in IR, the debates, theories and issues. Contributed by an international team of experts, each authored chapter provides a snapshot of changes in the field, as well as the importance of developing innovation, creativity and thinking in IR practice and research. Key discussion areas include: browsing in new information environments classification revisited: a web of knowledge approaches to fiction retrieval research music information retrieval research folksonomies, social tagging and information retrieval digital information interaction as semantic navigation assessing web search machines: a webometric approach. The questions raised are of significance to the whole international library and information science community, and this is essential reading for LIS professionals , researchers and students, and for all those interested in the future of IR.

Content

Inhalt: Bawden, D.: Encountering on the road to serendip? Browsing in new information environments. - Slavic, A.: Classification revisited: a web of knowledge. - Vernitski, A. u. P. Rafferty: Approaches to fiction retrieval research, from theory to practice? - Inskip, C.: Music information retrieval research. - Peters, I.: Folksonomies, social tagging and information retrieval. - Kopak, R., L. Freund u. H. O'Brien: Digital information interaction as semantic navigation. - Thelwall, M.: Assessing web search engines: a webometric approach

Editor

Foster, A.

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Location

A

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Abstract

The CIDOC CRM provides an ontology for describing entities, properties and relationships appearing in cultural heritage (CH) documentation, history and archeology. CRM promotes shared understanding by providing an extensible semantic framework that any CH information can be mapped to. CRM data is usually represented in semantic web format (RDF) and comprises complex graphs of nodes and properties. An important question is how a user can search through such complex graphs, since the number of possible combinations is staggering. One approach "compresses" the semantic network by mapping many CRM entity classes to a few "Fundamental Concepts" (FC), and mapping whole networks of CRM properties to fewer "Fundamental Relations" (FR). These FC and FRs serve as a "search index" over the CRM semantic web and allow the user to use a simpler query vocabulary. We describe an implementation of CRM FR Search based on OWLIM Rules, done as part of the ResearchSpace (RS) project. We describe the technical details, problems and difficulties encountered, benefits and disadvantages of using OWLIM rules, and preliminary performance results. We provide implementation experience that can be valuable for further implementation, definition and maintenance of CRM FRs.

Source

Proceedings of the 2nd International Workshop on Semantic Digital Archives held in conjunction with the 16th Int. Conference on Theory and Practice of Digital Libraries (TPDL) on September 27, 2012 in Paphos, Cyprus [http://ceur-ws.org/Vol-912/proceedings.pdf]. Eds.: A. Mitschik et al

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Abstract

Information extraction (IE) and text summarization (TS) are powerful technologies for finding relevant pieces of information in text and presenting them to the user in condensed form. The ongoing information explosion makes IE and TS critical for successful functioning within the information society. These technologies face particular challenges due to the inherent multi-source nature of the information explosion. The technologies must now handle not isolated texts or individual narratives, but rather large-scale repositories and streams---in general, in multiple languages---containing a multiplicity of perspectives, opinions, or commentaries on particular topics, entities or events. There is thus a need to adapt existing techniques and develop new ones to deal with these challenges. This volume contains a selection of papers that present a variety of methodologies for content identification and extraction, as well as for content fusion and regeneration. The chapters cover various aspects of the challenges, depending on the nature of the information sought---names vs. events,--- and the nature of the sources---news streams vs. image captions vs. scientific research papers, etc. This volume aims to offer a broad and representative sample of studies from this very active research field.

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Abstract

The International Symposium on Information Science (ISI) is a biannual gathering of scholars, researchers and students of information science in Europe and beyond who share a common interest in critical information issues in contemporary society. The conference series originated in the German-language information science community and has become more and more international in recent years. This time, the 14th International Symposium on Information Science (ISI 2015) takes place in Zadar, Croatia, from May 19 to May 21, 2015 and is jointly organized by the Department of Information Sciences at the University of Zadar and the German Academic Association for Information Science (Hochschulverband Informationswissenschaft e.V.), in association with the Association for Information Science and Technology (ASIS&T). ISI 2015 happens at a time of ongoing changes in our networked society. Recent internet developments have made it possible to access ever rising amounts of data and efficient analysis tools empower users to identify patterns which extend human minds (big data). Easy-to-use web services also allow users to be producers of information, a development which is subsumed under the term of "social web". Furthermore, science makes extensive use of collaboration, information sharing and information distribution all of which are available through network technologies. These changes have a considerable effect on both information science and practice and will be discussed at ISI 2015.

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Abstract

The main goal of this book is to transfer new research results from the fields of advanced computer sciences and information science to the design of new search engines. The readers will have a better idea of the new trends in applied research. The achievement of relevant, organized, sorted, and workable answers- to name but a few - from a search is becoming a daily need for enterprises and organizations, and, to a greater extent, for anyone. It does not consist of getting access to structural information as in standard databases; nor does it consist of searching information strictly by way of a combination of key words. It goes far beyond that. Whatever its modality, the information sought should be identified by the topics it contains, that is to say by its textual, audio, video or graphical contents. This is not a new issue. However, recent technological advances have completely changed the techniques being used. New Web technologies, the emergence of Intranet systems and the abundance of information on the Internet have created the need for efficient search and information access tools.
Recent technological progress in computer science, Web technologies, and constantly evolving information available on the Internet has drastically changed the landscape of search and access to information. Web search has significantly evolved in recent years. In the beginning, web search engines such as Google and Yahoo! were only providing search service over text documents. Aggregated search was one of the first steps to go beyond text search, and was the beginning of a new era for information seeking and retrieval. These days, new web search engines support aggregated search over a number of vertices, and blend different types of documents (e.g., images, videos) in their search results. New search engines employ advanced techniques involving machine learning, computational linguistics and psychology, user interaction and modeling, information visualization, Web engineering, artificial intelligence, distributed systems, social networks, statistical analysis, semantic analysis, and technologies over query sessions. Documents no longer exist on their own; they are connected to other documents, they are associated with users and their position in a social network, and they can be mapped onto a variety of ontologies. Similarly, retrieval tasks have become more interactive and are solidly embedded in a user's geospatial, social, and historical context. It is conjectured that new breakthroughs in information retrieval will not come from smarter algorithms that better exploit existing information sources, but from new retrieval algorithms that can intelligently use and combine new sources of contextual metadata.
With the rapid growth of web-based applications, such as search engines, Facebook, and Twitter, the development of effective and personalized information retrieval techniques and of user interfaces is essential. The amount of shared information and of social networks has also considerably grown, requiring metadata for new sources of information, like Wikipedia and ODP. These metadata have to provide classification information for a wide range of topics, as well as for social networking sites like Twitter, and Facebook, each of which provides additional preferences, tagging information and social contexts. Due to the explosion of social networks and other metadata sources, it is an opportune time to identify ways to exploit such metadata in IR tasks such as user modeling, query understanding, and personalization, to name a few. Although the use of traditional metadata such as html text, web page titles, and anchor text is fairly well-understood, the use of category information, user behavior data, and geographical information is just beginning to be studied. This book is intended for scientists and decision-makers who wish to gain working knowledge about search engines in order to evaluate available solutions and to dialogue with software and data providers.

Content

Enthält die Beiträge: Das, A., A. Jain: Indexing the World Wide Web: the journey so far. Ke, W.: Decentralized search and the clustering paradox in large scale information networks. Roux, M.: Metadata for search engines: what can be learned from e-Sciences? Fluhr, C.: Crosslingual access to photo databases. Djioua, B., J.-P. Desclés u. M. Alrahabi: Searching and mining with semantic categories. Ghorbel, H., A. Bahri u. R. Bouaziz: Fuzzy ontologies building platform for Semantic Web: FOB platform. Lassalle, E., E. Lassalle: Semantic models in information retrieval. Berry, M.W., R. Esau u. B. Kiefer: The use of text mining techniques in electronic discovery for legal matters. Sleem-Amer, M., I. Bigorgne u. S. Brizard u.a.: Intelligent semantic search engines for opinion and sentiment mining. Hoeber, O.: Human-centred Web search.
Vert, S.: Extensions of Web browsers useful to knowledge workers. Chen, L.-C.: Next generation search engine for the result clustering technology. Biskri, I., L. Rompré: Using association rules for query reformulation. Habernal, I., M. Konopík u. O. Rohlík: Question answering. Grau, B.: Finding answers to questions, in text collections or Web, in open domain or specialty domains. Berri, J., R. Benlamri: Context-aware mobile search engine. Bouidghaghen, O., L. Tamine: Spatio-temporal based personalization for mobile search. Chaudiron, S., M. Ihadjadene: Studying Web search engines from a user perspective: key concepts and main approaches. Karaman, F.: Artificial intelligence enabled search engines (AIESE) and the implications. Lewandowski, D.: A framework for evaluating the retrieval effectiveness of search engines.

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Abstract

Bibliometrics has moved well beyond the mere tracking of bibliographic citations. The web enables new ways to measure scholarly productivity and impact, making available tools and data that can reveal patterns of intellectual activity and impact that were previously invisible: mentions, acknowledgments, endorsements, downloads, recommendations, blog posts, tweets. This book describes recent theoretical and practical advances in metrics-based research, examining a variety of alternative metrics -- or "altmetrics" -- while also considering the ethical and cultural consequences of relying on metrics to assess the quality of scholarship. Once the domain of information scientists and mathematicians, bibliometrics is now a fast-growing, multidisciplinary field that ranges from webometrics to scientometrics to influmetrics. The contributors to Beyond Bibliometrics discuss the changing environment of scholarly publishing, the effects of open access and Web 2.0 on genres of discourse, novel analytic methods, and the emergence of next-generation metrics in a performance-conscious age.

Content

Inhalt: Scholars and scripts, spoors and scores / Blaise CroninHistory and evolution of (biblio)metrics / Nicola De Bellis -- The citation : from culture to infrastructure / Paul Wouters -- The data it is me! / Ronald E. Day -- The ethics of evaluative bibliometrics / Jonathan Furner -- Criteria for evaluating indicators / Yves Gingras -- Obliteration by incorporation / Katherine W. McCain -- A network approach to scholarly evaluation / Jevin D. West and Daril A. Vilhena -- Science visualization and discursive knowledge / Loet Leydesdorff -- Measuring interdisciplinarity / Vincent Larivière and Yves Gingras -- Bibliometric standards for evaluating research institutes in the natural sciences / Lutz Bornmann, Benjamin E. Bowman, Jonathan Bauer, Werner Marx, Hermann Schier and Margit Palzenberger -- Identifying and quantifying research strengths using market segmentation / Kevin W. Boyack and Richard Klavans -- Finding and recommending scholarly articles / Michael J. Kurtz and Edwin A. Henneken -- Altmetrics / Jason Priem -- Web impact measures for research assessment / Kayvan Kousha and Mike Thelwall -- Bibliographic references in Web 2.0 / Judit Bar-Illan, Hadas Shema and Mike Thelwall -- Readership metrics / Stefanie Haustein -- Evaluating the work of judges / Peter Hook -- Academic genealogy / Cassidy R. Sugimoto -- A publishing perspective on bibliometrics / Judith Kamalski, Andrew Plume and Mayur Amin -- Science metrics and science policy / Julia Lane, Mark Largent and Rebecca Rosen.

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Abstract

Scientometrics have become an essential element in the practice and evaluation of science and research, including both the evaluation of individuals and national assessment exercises. This book brings together the theories that guide informetrics and scholarly communication research. It is a much needed compilation by leading scholars in the field that gathers together the theories that guide our understanding of authorship, citing, and impact

Content

Frontmatter -- -- Foreword -- -- Prologue -- -- Contents -- -- Introduction -- -- Part I: Critical informetrics -- -- The Incessant Chattering of Texts -- -- Informetrics Needs a Foundation in the Theory of Science -- -- Part II: Citation theories -- -- Referencing as Cooperation or Competition -- -- Semiotics and Citations -- -- Data Citation as a Bibliometric Oxymoron -- -- Part III: Statistical theories -- -- TypeToken Theory and Bibliometrics -- -- From a Success Index to a Success Multiplier -- -- From Matthew to Hirsch: A Success-Breeds-Success Story -- -- Informations Magic Numbers: The Numerology of Information Science -- -- Part IV: Authorship theories -- -- Authors as Persons and Authors as Bundles of Words -- -- The Angle Sum Theory: Exploring the Literature on Acknowledgments in Scholarly Communication -- -- The Flesh of Science: Somatics and Semiotics -- -- Part V: Knowledge organization theories -- -- Informetric Analyses of Knowledge Organization Systems (KOSs) -- -- Information, Meaning, and Intellectual Organization in Networks of Inter-Human Communication -- -- Modeling the Structure and Dynamics of Science Using Books -- -- Part VI: Altmetric theories -- -- Webometrics and Altmetrics: Home Birth vs. Hospital Birth -- -- Scientific Revolution in Scientometrics: The Broadening of Impact from Citation to Societal -- -- Altmetrics as Traces of the Computerization of the Research Process -- -- Interpreting Altmetrics: Viewing Acts on Social Media through the Lens of Citation and Social Theories -- -- Biographical information for the editor and contributors -- -- Index