
Handbook of Information Science
Description
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Dealing with information is one of the vital skills in the 21 st 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.
Reviews / Votes
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)More details
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Content
- Intro
- A. Introduction to Information Science
- A.1 What is Information Science?
- A.2 Knowledge and Information
- A.3 Information and Understanding
- A.4 Documents
- A.5 Information Literacy
- Information Retrieval
- B. Propaedeutics of Information Retrieval
- B.1 History of Information Retrieval
- B.2 Basic Ideas of Information Retrieval
- B.3 Relevance and Pertinence
- B.4 Crawlers
- B.5 Typology of Information Retrieval Systems
- B.6 Architecture of Retrieval Systems
- C. Natural Language Processing
- C.1 n-Grams
- C.2 Words
- C.3 Phrases - Named Entities - Compounds - Semantic Environments
- C.4 Anaphora
- C.5 Fault-Tolerant Retrieval
- D. Boolean Retrieval Systems
- D.1 Boolean Retrieval
- D.2 Search Strategies
- D.3 Weighted Boolean Retrieval
- E. Classical Retrieval Models
- E.1 Text Statistics
- E.2 Vector Space Model
- E.3 Probabilistic Model
- E.4 Retrieval of Non-Textual Documents
- F. Web Information Retrieval
- F.1 Link Topology
- F.2 Ranking Factors
- F.3 Personalized Retrieval
- F.4 Topic Detection and Tracking
- G. Special Problems of Information Retrieval
- G.1 Social Networks and "Small Worlds"
- G.2 Visual Retrieval Tools
- G.3 Cross-Language Information Retrieval
- G.4 (Semi-)Automatic Query Expansion
- G.5 Recommender Systems
- G.6 Passage Retrieval and Question Answering
- G.7 Emotional Retrieval and Sentiment Analysis
- H. Empirical Investigations on Information Retrieval
- H.1 Informetric Analyses
- H.2 Analytical Tools and Methods
- H.3 User and Usage Research
- H.4 Evaluation of Retrieval Systems
- Knowledge Representation
- I. Propaedeutics of Knowledge Representation
- I.1 History of Knowledge Representation
- I.2 Basic Ideas of Knowledge Representation
- I.3 Concepts
- I.4 Semantic Relations
- J. Metadata
- J.1 Bibliographic Metadata
- J.2 Metadata about Objects
- J.3 Non-Topical Information Filters
- K. Folksonomies
- K.1 Social Tagging
- K.2 Tag Gardening
- K.3 Folksonomies and Relevance Ranking
- L. Knowledge Organization Systems
- L.1 Nomenclature
- L.2 Classification
- L.3 Thesaurus
- L.4 Ontology
- L.5 Faceted Knowledge Organization Systems
- L.6 Crosswalks between Knowledge Organization Systems
- M. Text-Oriented Knowledge Organization Methods
- M.1 Text-Word Method
- M.2 Citation Indexing
- N. Indexing
- N.1 Intellectual Indexing
- N.2 Automatic Indexing
- O. Summarization
- O.1 Abstracts
- O.2 Extracts
- P. Empirical Investigations on Knowledge Representation
- P.1 Evaluation of Knowledge Organization Systems
- P.2 Evaluation of Indexing and Summarization
- Q. Glossary and Indexes
- Q.1 Glossary
- Q.2 List of Abbreviations
- Q.3 List of Tables
- Q.4 List of Figures
- Q.5 Index of Names
- Q.6 Subject Index
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