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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.

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Imprint

Santa Barbara, California : Libraries Unlimited

Series

Libraries Unlimited library management collection

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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.

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Content

Foreword - Marshall Breeding Introduction - Sally Chambers 1. Next generation catalogues: what do users think? - Anne Christensen 2. Making search work for the library user - Till Kinstler 3. Next-generation discovery: an overview of the European Scene - Marshall Breeding 4. The mobile library catalogue - Lukas Koster and Driek Heesakkers 5. FRBRizing your catalogue - Rosemie Callewaert 6. Enabling your catalogue for the semantic web - Emmanuelle Bermes 7. Supporting digital scholarship: bibliographic control, library co-operatives and open access repositories - Karen Calhoun 8. Thirteen ways of look at the libraries, discovery and the catalogue: scale, workflow, attention - Lorcan Dempsey.

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Abstract

Organizing is such a common activity that we often do it without thinking much about it. In our daily lives we organize physical things--books on shelves, cutlery in kitchen drawers--and digital things--Web pages, MP3 files, scientific datasets. Millions of people create and browse Web sites, blog, tag, tweet, and upload and download content of all media types without thinking "I'm organizing now" or "I'm retrieving now." This book offers a framework for the theory and practice of organizing that integrates information organization (IO) and information retrieval (IR), bridging the disciplinary chasms between Library and Information Science and Computer Science, each of which views and teaches IO and IR as separate topics and in substantially different ways. It introduces the unifying concept of an Organizing System--an intentionally arranged collection of resources and the interactions they support--and then explains the key concepts and challenges in the design and deployment of Organizing Systems in many domains, including libraries, museums, business information systems, personal information management, and social computing. Intended for classroom use or as a professional reference, the book covers the activities common to all organizing systems: identifying resources to be organized; organizing resources by describing and classifying them; designing resource-based interactions; and maintaining resources and organization over time. The book is extensively annotated with disciplinary-specific notes to ground it with relevant concepts and references of library science, computing, cognitive science, law, and business.

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Content

Inhalt: Retrieval, Crawling and Fusion of Entity-centric Data on the Web / Dietze, Stefan - Data Multiverse: The Uncertainty Challenge of Future Big Data Analytics / Tudoran, Radu (et al.) - Experiments with Document Retrieval from Small Text Collections Using Latent Semantic Analysis or Term Similarity with Query Coordination and Automatic Relevance Feedback / Layfield, Colin (et al.) - Unsupervised Extraction of Conceptual Keyphrases from Abstracts / Ludwig, Philipp (et al.) - Back to the Sketch-Board: Integrating Keyword Search, Semantics, and Information Retrieval / Azzopardi, Joel (et al.) - Topic Detection in Multichannel Italian Newspapers / Po, Laura (et al.) - Random Walks Analysis on Graph Modelled Multimodal Collections / Sabetghadam, Serwah (et al.) - A Software Processing Chain for Evaluating Thesaurus Quality / Lacasta, Javier (et al.) - Comparison of Collaborative and Content-Based Automatic Recommendation Approaches in a Digital Library of Serbian PhD Dissertations / Azzopardi, Joel (et al.) - Keyword-Based Search on Bilingual Digital Libraries / Stankovic, Ranka (et al.) - Network-Enabled Keyword Extraction for Under-Resourced Languages / Beliga, Slobodan (et al.) - Making Sense of Citations / Koulouri, Xenia (et al.) - An Ontology-Based Approach to Information Retrieval / Mestrovic, Ana (et al.) - Game with a Purpose for Verification of Mappings Between Wikipedia and WordNet / Boinski, Tomasz - TB-Structure: Collective Intelligence for Exploratory Keyword Search / Terziyan, Vagan (et al.) - Using Natural Language to Search Linked Data / Rozinajová, Viera (et al.) - The Use of Semantics in the CrossCult H2020 Project / Bampatzia, Stavroula (et al.) Vgl. auch: http://www.keystone-cost.eu/ikc2016/program.php.

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Abstract

This volume has the virtue of airing a number of refreshing voices that are not often heard on this side of the Atlantic, and that bring perspectives that should energize our conversations about information in living systems." --Evelyn Fox Keller, MIT "Terzis and Arp have brought together an international array of experimental and theoretical scientists, philosophers, and cognitive scientists to explore the most consequential notion in modern biology--information. The notion is indispensable to molecular biology, and yet we have no idea how seriously we need to take it in that domain. The role of information is equally central to the origin and maintenance of life in a Second Law-driven world that destroys order. And the naturalization of information is the only bridge that can be crossed from cognitive psychology to neuroscience. All of these issues are faced squarely and accessibly in this important volume." --Alex Rosenberg, Duke University "Since the 1960s at least, it has become clear that we cannot content ourselves with describing living systems, and their life cycles, only in terms of matter and energy. An additional dimension--information--is the necessary complement. However, following an initial enthusiasm for an information-based approach to biology, conceptual developments and practical applications have been slow, to such an extent that doubts have eventually arisen, among biologists and philosophers alike, as to the real relevance, if not the legitimacy, of this approach. How profoundly ill-advised were those concerns is dramatically demonstrated by this excellent collection. Information and Living Systems provides a convincing and healthily fresh overview of this subject area in many of its ramifications, throughout the whole of biology." --Alessandro Minelli, University of Padova "Since the time of the discovery of the double-helical structure of DNA and its expression, scientists and philosophers have become increasingly aware that information is integral to the understanding of the organization of life--indeed, to the understanding of life. Information and Living Systems covers the gamut of issues--from the properties of the organism itself to epigenetic and evolutionary considerations to cognition, language, and personality. It transcends in scope and depth any available publications on bioinformation known to me. It is an important scholarly contribution that will interest professional biologists, philosophers, and information theorists, and will be very useful in courses for advanced undergraduate and graduate students.

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Date

22. 2.2013 12:09:34

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Date

19.12.2015 11:57:22

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Date

22. 2.2013 11:34:18

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Date

27. 1.2015 11:48:22

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Date

22. 2.2018 12:13:57