The FORA Framework (Record no. 50486)

000 -LEADER
fixed length control field 03365nam a22005775i 4500
001 - CONTROL NUMBER
control field 978-3-642-33233-3
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200420211738.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 121230s2013 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783642332333
-- 978-3-642-33233-3
082 04 - CLASSIFICATION NUMBER
Call Number 658
100 1# - AUTHOR NAME
Author Portmann, Edy.
245 14 - TITLE STATEMENT
Title The FORA Framework
Sub Title A Fuzzy Grassroots Ontology for Online Reputation Management /
300 ## - PHYSICAL DESCRIPTION
Number of Pages XXVI, 202 p.
490 1# - SERIES STATEMENT
Series statement Fuzzy Management Methods
505 0# - FORMATTED CONTENTS NOTE
Remark 2 The Social Semantic Web -- Fundamentals of Fuzzy Clustering Methods -- Online Reputation Analysis -- Requirements for Online Reputation Analysis -- Fuzzy Online Reputation Analysis Framework -- The YouReputation Prototype -- Conclusion.  .
520 ## - SUMMARY, ETC.
Summary, etc Online reputation management deals with monitoring and influencing the online record of a person, an organization or a product. The Social Web offers increasingly simple ways to publish and disseminate personal or opinionated information, which can rapidly have a disastrous influence on the online reputation of some of the entities. The author focuses on the Social Web and possibilities of its integration with the Semantic Web as resource for a semi-automated tracking of online reputations using imprecise natural language terms. The inherent structure of natural language supports humans not only in communication but also in the perception of the world. Thereby fuzziness is a promising tool for transforming those human perceptions into computer artifacts. Through fuzzy grassroots ontologies, the Social Semantic Web becomes more naturally and thus can streamline online reputation management. For readers interested in the cross-over field of computer science, information systems, and social sciences, this book is an ideal source for becoming acquainted with the evolving field of fuzzy online reputation management in the Social Semantic Web area.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-642-33233-3
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg :
-- Imprint: Springer,
-- 2013.
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-- txt
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-- computer
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-- rdamedia
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-- online resource
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-- rdacarrier
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-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Business.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Marketing.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Industrial management.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Information storage and retrieval.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- User interfaces (Computer systems).
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational intelligence.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Business and Management.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Media Management.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Marketing.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Information Storage and Retrieval.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- User Interfaces and Human Computer Interaction.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence (incl. Robotics).
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-- ZDB-2-SBE

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