Handbook of Information Science
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About this book
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.
Author / Editor information
Wolfgang G. Stock, Heinrich-Heine-Universität Düsseldorf, und Mechtild Stock, Kerpen.
Reviews
Wolfgang and Mechtild Stock's Handbook of Information Science [...] weighs 3lbs 4 oz (1.47 kg) and has 901 pages, the end result of sustained elucubration and Stakhanovite resolve on part of the authors.
(Blaise Cronin, Journal of the American Society of Information Science and Technology 64 (11): 2189, 2013).
Inhaltlich bietet das Buch das, was man von einem Handbuch erwarten darf [...] Den Autoren ist es gelungen, eine interessante Mischung von Beiträgen zu den jeweiligen Themenbereichen zu verfassen [...] Die Anschaffung lohnt sich für alle Dozierenden, die das Fach "Einführung in die Informationswissenschaft" unterrichten, denn das Buch regt zur Auseinandersetzung mit der eigenen Vorlesungskonzeption an.
(Stephan Holländer, Password 10/2013, Seite 13)
Supplementary Materials
Topics
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Frontmatter
i -
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Preface
v -
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Contents
vii - Part A: Introduction to Information Science
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A.1 What is Information Science?
3 -
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A.2 Knowledge and Information
20 -
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A.3 Information and Understanding
50 -
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A.4 Documents
62 -
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A.5 Information Literacy
78 - Information Retrieval
- Part B: Propaedeutics of Information Retrieval
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B.1 History of Information Retrieval
93 -
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B.2 Basic Ideas of Information Retrieval
105 -
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B.3 Relevance and Pertinence
118 -
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B.4 Crawlers
129 -
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B.5 Typology of Information Retrieval Systems
141 -
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B.6 Architecture of Retrieval Systems
157 - Part C: Natural Language Processing
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C.1 n-Grams
169 -
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C.2 Words
179 -
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C.3 Phrases—Named Entities—Compounds— Semantic Environments
198 -
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C.4 Anaphora
219 -
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C.5 Fault-Tolerant Retrieval
227 - Part D: Boolean Retrieval Systems
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D.1 Boolean Retrieval
241 -
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D.2 Search Strategies
253 -
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D.3 Weighted Boolean Retrieval
266 - Part E: Classical Retrieval Models
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E.1 Text Statistics
277 -
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E.2 Vector Space Model
289 -
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E.3 Probabilistic Model
301 -
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E.4 Retrieval of Non-Textual Documents
312 - Part F: Web Information Retrieval
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F.1 Link Topology
329 -
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F.2 Ranking Factors
345 -
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F.3 Personalized Retrieval
361 -
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F.4 Topic Detection and Tracking
366 - Part G: Special Problems of Information Retrieval
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G.1 Social Networks and “Small Worlds”
377 -
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G.2 Visual Retrieval Tools
389 -
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G.3 Cross-Language Information Retrieval
399 -
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G.4 (Semi-)Automatic Query Expansion
408 -
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G.5 Recommender Systems
416 -
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G.6 Passage Retrieval and Question Answering
423 -
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G.7 Emotional Retrieval and Sentiment Analysis
430 - Part H: Empirical Investigations on Information Retrieval
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H.1 Informetric Analyses
445 -
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H.2 Analytical Tools and Methods
453 -
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H.3 User and Usage Research
465 -
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H.4 Evaluation of Retrieval Systems
481 - Knowledge Representation
- Part I: Propaedeutics of Knowledge Representation
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I.1 History of Knowledge Representation
503 -
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I.2 Basic Ideas of Knowledge Representation
519 -
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I.3 Concepts
531 -
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I.4 Semantic Relations
547 - Part J: Metadata
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J.1 Bibliographic Metadata
567 -
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J.2 Metadata about Objects
586 -
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J.3 Non-Topical Information Filters
598 - Part K: Folksonomies
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K.1 Social Tagging
611 -
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K.2 Tag Gardening
621 -
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K.3 Folksonomies and Relevance Ranking
629 - Part L: Knowledge Organization Systems
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L.1 Nomenclature
635 -
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L.2 Classification
647 -
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L.3 Thesaurus
675 -
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L.4 Ontology
697 -
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L.5 Faceted Knowledge Organization Systems
707 -
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L.6 Crosswalks between Knowledge Organization Systems
719 - Part M: Text-Oriented Knowledge Organization Methods
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M.1 Text-Word Method
735 -
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M.2 Citation Indexing
744 - Part N: Indexing
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N.1 Intellectual Indexing
759 -
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N.2 Automatic Indexing
772 - Part O: Summarization
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O.1 Abstracts
783 -
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O.2 Extracts
796 - Part P: Empirical Investigations on Knowledge Representation
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P.1 Evaluation of Knowledge Organization Systems
809 -
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P.2 Evaluation of Indexing and Summarization
817 - Part Q: Glossary and Indexes
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Q.1 Glossary
829 -
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Q.2 List of Abbreviations
851 -
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Q.3 List of Tables
854 -
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Q.4 List of Figures
855 -
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Q.5 Index of Names
860 -
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Q.6 Subject Index
879
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