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Handbook of Information Science / Wolfgang G. Stock, Mechtild Stock.

By: Contributor(s): Material type: TextTextPublisher: Berlin ; Boston : De Gruyter Saur, [2013]Copyright date: ©2013Description: 1 online resource (901 p.)Content type:
Media type:
Carrier type:
ISBN:
  • 9783110234992
  • 9783110235005
Subject(s): DDC classification:
  • 020 23
LOC classification:
  • Z665 .S816 2015
  • Z665 .S816 2015
Other classification:
  • online - DeGruyter
Online resources:
Contents:
Frontmatter -- Preface -- Contents -- Part 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 -- Part 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 -- Part 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 -- Part D: Boolean Retrieval Systems -- D.1 Boolean Retrieval -- D.2 Search Strategies -- D.3 Weighted Boolean Retrieval -- Part E: Classical Retrieval Models -- E.1 Text Statistics -- E.2 Vector Space Model -- E.3 Probabilistic Model -- E.4 Retrieval of Non-Textual Documents -- Part F: Web Information Retrieval -- F.1 Link Topology -- F.2 Ranking Factors -- F.3 Personalized Retrieval -- F.4 Topic Detection and Tracking -- Part 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 -- Part 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 -- Part 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 -- Part J: Metadata -- J.1 Bibliographic Metadata -- J.2 Metadata about Objects -- J.3 Non-Topical Information Filters -- Part K: Folksonomies -- K.1 Social Tagging -- K.2 Tag Gardening -- K.3 Folksonomies and Relevance Ranking -- Part 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 -- Part M: Text-Oriented Knowledge Organization Methods -- M.1 Text-Word Method -- M.2 Citation Indexing -- Part N: Indexing -- N.1 Intellectual Indexing -- N.2 Automatic Indexing -- Part O: Summarization -- O.1 Abstracts -- O.2 Extracts -- Part P: Empirical Investigations on Knowledge Representation -- P.1 Evaluation of Knowledge Organization Systems -- P.2 Evaluation of Indexing and Summarization -- Part 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
Summary: 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.

Frontmatter -- Preface -- Contents -- Part 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 -- Part 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 -- Part 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 -- Part D: Boolean Retrieval Systems -- D.1 Boolean Retrieval -- D.2 Search Strategies -- D.3 Weighted Boolean Retrieval -- Part E: Classical Retrieval Models -- E.1 Text Statistics -- E.2 Vector Space Model -- E.3 Probabilistic Model -- E.4 Retrieval of Non-Textual Documents -- Part F: Web Information Retrieval -- F.1 Link Topology -- F.2 Ranking Factors -- F.3 Personalized Retrieval -- F.4 Topic Detection and Tracking -- Part 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 -- Part 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 -- Part 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 -- Part J: Metadata -- J.1 Bibliographic Metadata -- J.2 Metadata about Objects -- J.3 Non-Topical Information Filters -- Part K: Folksonomies -- K.1 Social Tagging -- K.2 Tag Gardening -- K.3 Folksonomies and Relevance Ranking -- Part 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 -- Part M: Text-Oriented Knowledge Organization Methods -- M.1 Text-Word Method -- M.2 Citation Indexing -- Part N: Indexing -- N.1 Intellectual Indexing -- N.2 Automatic Indexing -- Part O: Summarization -- O.1 Abstracts -- O.2 Extracts -- Part P: Empirical Investigations on Knowledge Representation -- P.1 Evaluation of Knowledge Organization Systems -- P.2 Evaluation of Indexing and Summarization -- Part 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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http://purl.org/coar/access_right/c_16ec

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.

Mode of access: Internet via World Wide Web.

In English.

Description based on online resource; title from PDF title page (publisher's Web site, viewed 29. Nov 2021)