[Asis-l] FW: : Stock &Stock book on Knowledge Representation

[eugene.garfield at thomsonreuters.com]

[Posted for Eugene Garfield.  Dick Hill'


________________________________________
From: Garfield, Eugene 
Sent: Wednesday, June 04, 2008 3:18 PM
To: asis-l at asis.org
Subject: FW: : Stock &Stock book on Knowledge Representation

At my request Wolfgang and Mechtid Stock have prepared an English contents
page of their new book published in German.

Wolfgang G. Stock & Mechtild Stock: Knowledge Representation
[Wissensrepräsentation; in German]. Munich: Oldenbourg, 2008. XVIII + 441
pp. ISBN 978-3-486-58439-4


Abstract. 
Knowledge Representation is the science, the technique and the application
of methods and tools, which empower to map knowledge on digital databases.
Aim of Knowledge Representation is optimal information retrieval. Knowledge
Representation allows for information architectures and works with concepts
and their relations. Without elaborated methods of Knowledge Representation
it is not possible to create the semantic web. 
The book unifies approaches from documentation and library science
(nomenclatures, classification systems, thesauri, citation indexing and
abstracting), from computer science and artificial intelligence research
(ontologies and information extraction) and from user-driven indexing in Web
2.0 environments (folksonomies). 

Table of Contents
Propaedeutics of Knowledge Representation
History of Knowledge Representation (p. 1) – Basic Ideas of Knowledge
Representation (p. 20) – Concepts and Definitions (p. 51) – Concepts and
Relations (p. 68) – Information Hermeneutics (p. 90)
Metadata
Bibliographic Metadata (p. 105) – Factual Metadata (p. 128) – Non-Thematic
Information Filters (Style and Genre) (p. 141)
Folksonomies
Collaborative Indexing (p. 153) – Processing of Tags (p. 166)
Knowledge Organization Systems
Nomenclature (p. 176) – Classification (p. 192) – Thesaurus (p. 228) –
Ontology (p. 255) – Facetted Knowledge Organization Systems (p. 273) –
Crosswalks between Knowledge Organization Systems (p. 290)
Text-Oriented Methods of Knowledge Organization
Text-Word Method (p. 311) – Citation Indexing (p. 323)
Indexing
Intellectual Indexing (p. 342) – Automatic Indexing (p. 365)
Information Summarization
Abstracts (p. 380) – Automatic Information Extraction (p. 398)
Glossary (p. 410) – Index of Names (p. 419) – Subject Index (p. 428)