Search (10 results, page 1 of 1)

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Abstract

Information seeking is a fundamental human activity. In the modern world, it is frequently conducted through interactions with search systems. The retrieval and comprehension of information returned by these systems is a key part of decision making and action in a broad range of settings. Advances in data availability coupled with new interaction paradigms, and mobile and cloud computing capabilities, have created a broad range of new opportunities for information access and use. In this comprehensive book for professionals, researchers, and students involved in search system design and evaluation, search expert Ryen White discusses how search systems can capitalize on new capabilities and how next-generation systems must support higher order search activities such as task completion, learning, and decision making. He outlines the implications of these changes for the evolution of search evaluation, as well as challenges that extend beyond search systems in areas such as privacy and societal benefit.

Footnote

Vgl. auch den Beitrag: Lewandowski, D.: Wie "Next Generation Search Systems" die Suche auf eine neue Ebene heben und die Informationswelt verändern. In: http://www.password-online.de/?wysija-page=1&controller=email&action=view&email_id=254&wysijap=subscriptions&user_id=1045..

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Date

24. 8.2016 14:03:22

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LCSH

Information storage and retrieval systems

Subject

Information storage and retrieval systems

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LCSH

Information storage and retrieval systems

Subject

Information storage and retrieval systems

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Abstract

Dealing with information is one of the vital skills in the 21st century. It takes a fair degree of information savvy to create, represent and supply information as well as to search for and retrieve relevant knowledge. How does information (documents, pieces of knowledge) have to be organized in order to be retrievable? What role does metadata play? What are search engines on the Web, or in corporate intranets, and how do they work? How must one deal with natural language processing and tools of knowledge organization, such as thesauri, classification systems, and ontologies? How useful is social tagging? How valuable are intellectually created abstracts and automatically prepared extracts? Which empirical methods allow for user research and which for the evaluation of information systems? This Handbook is a basic work of information science, providing a comprehensive overview of the current state of information retrieval and knowledge representation. It addresses readers from all professions and scientific disciplines, but particularly scholars, practitioners and students of Information Science, Library Science, Computer Science, Information Management, and Knowledge Management. This Handbook is a suitable reference work for Public and Academic Libraries.

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Date

28. 8.2019 19:21:22

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Content

Introduction to digital libraries - Digital library initiatives and international projects - Collection development - Techniques and technologies for multimedia storage and retrieval - Digitization - Knowledge representation and organization - Digital Library Content Management Systems - Interface design and evaluation - Sustainability and preservation - User needs and information retrieval - Evaluation of digital libraries - Impact, challenges, and trends for the future

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Abstract

Throughout most of human history, people got the information they needed for their lives more or less automatically and unthinkingly--through people they talked with, and from their own life experiences. Today, we are inundated with information but often know little about how to find our way through the vast sea of recorded knowledge to get to what we really want and need. In the information sciences researchers have thought a great deal about information seeking, and have studied people in the grip of trying to satisfy an information need. Much has been learned about how to enable comfortable and fun information searching in human, paper, and digital environments. Professor Marcia Bates of UCLA's Department of Information Studies has collected fifteen of her major papers on information searching in theory and practice in this volume. The articles address many aspects of searching for information, including searching tactics and techniques, the "vocabulary problem" in online searching, the kinds of indexing terms to use in various contexts, the Bradford Distribution and its effects on searching in large databases, the true nature of browsing, and how to design computer interfaces for successful searching. For all the variety in types of information systems, the human being interacting with an information source is remarkably stable in psychology and behavior. These human traits and system features are explored in depth in this book. Bates' popular articles, "What is Browsing--Really?" and "The Design of Browsing and Berrypicking Techniques for the Online Search Interface," are included. This is Volume II of three containing selected works by Bates. The others are titled: Information and the Information Professions (Vol. I) and Information Users and Information System Design (Vol. III)

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Content

C H A P T E R 1 What is an ontology?; Introduction; The data deluge and information overload; Defining terms; Knowledge organization systems and ontologies; Ontologies, metadata and linked data; What can an ontology do?; Ontologies and information professionals; Alternatives to ontologies; The aims of this book; The structure of this book; C H A P T E R 2 Ontologies and the semantic web; Introduction; The semantic web and linked data; Resource Description Framework (RDF); Classes, subclasses and properties; The semantic web stack; Embedded RDF; Alternative semantic visionsLibraries and the semantic web; Other cultural heritage institutions and the semantic web; Other organizations and the semantic web; Conclusion; C H A P T E R 3 Existing ontologies; Introduction; Ontology documentation; Ontologies for representing ontologies; Ontologies for libraries; Upper ontologies; Cultural heritage data models; Ontologies for the web; Conclusion; C H A P T E R 4 Adopting ontologies; Introduction; Reusing ontologies: application profiles and data models; Identifying ontologies; The ideal ontology discovery tool; Selection criteria; Conclusion C H A P T E R 5 Building ontologiesIntroduction; Approaches to building an ontology; The twelve steps; Ontology development example: Bibliometric Metrics Ontology element set; Conclusion; C H A P T E R 6 Interrogating ontologies; Introduction; Interrogating ontologies for reuse; Interrogating a knowledge base; Understanding ontology use; Conclusion; C H A P T E R 7 The future of ontologies and the information professional; Introduction; The future of ontologies for knowledge discovery; The future role of library and information professionals; The practical development of ontologies