عنوان
پدید آورنده
موضوع
رده
TK5105.88815 .L56 2011
TK5105
.
88815
.
L56
2011
کتابخانه
محل استقرار
INTERNATIONAL STANDARD BOOK NUMBER
(Number (ISBN
3642179150
(Number (ISBN
3642179169
(Number (ISBN
9783642179150
(Number (ISBN
9783642179167
Erroneous ISBN
9783642179150
NATIONAL BIBLIOGRAPHY NUMBER
Number
b764529
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Knowledge seeker :
General Material Designation
[Book]
Other Title Information
ontology modelling for information search and management : a compendium /
First Statement of Responsibility
Edward H.Y. Lim, James N.K. Liu, and Raymond S.T. Lee.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Berlin :
Name of Publisher, Distributor, etc.
Springer,
Date of Publication, Distribution, etc.
©2011.
Date of Publication, Distribution, etc.
©2011
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource (xxvi, 237 pages) :
Other Physical Details
illustrations (some color)
SERIES
Series Title
Intelligent systems reference library ;
Volume Designation
v. 8
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references (pages 195-209).
CONTENTS NOTE
Text of Note
pt. 1. Introduction -- pt. 2. KnowledgeSeeker : an ontology modeling and learning framework -- pt. 3. KnowledgeSeeker applications.
0
SUMMARY OR ABSTRACT
Text of Note
The KnowledgeSeeker is a useful system to develop various intelligent applications such as ontology-based search engine, ontology-based text classification system, ontological agent system, and semantic web system etc. The KnowledgeSeeker contains four different ontological components. First, it defines the knowledge representation model ¡V Ontology Graph. Second, an ontology learning process that based on chi-square statistics is proposed for automatic learning an Ontology Graph from texts for different domains. Third, it defines an ontology generation method that transforms the learning outcome to the Ontology Graph format for machine processing and also can be visualized for human validation. Fourth, it defines different ontological operations (such as similarity measurement and text classification) that can be carried out with the use of generated Ontology Graphs. The final goal of the KnowledgeSeeker system framework is that it can improve the traditional information system with higher efficiency. In particular, it can increase the accuracy of a text classification system, and also enhance the search intelligence in a search engine. This can be done by enhancing the system with machine processable ontology.
ACQUISITION INFORMATION NOTE
Source for Acquisition/Subscription Address
Springer
Stock Number
978-3-642-17915-0
OTHER EDITION IN ANOTHER MEDIUM
Title
Knowledge Seeker.
International Standard Book Number
9783642179150
TOPICAL NAME USED AS SUBJECT
Information storage and retrieval systems.
Knowledge management.
Machine learning.
Ontologies (Information retrieval)
Ontology.
Information storage and retrieval systems.
Ingénierie.
Knowledge management.
LANGUAGE ARTS & DISCIPLINES-- Library & Information Science-- General.
Machine learning.
Ontologies (Information retrieval)
Ontology.
(SUBJECT CATEGORY (Provisional
LAN-- 025000
UYQ
DEWEY DECIMAL CLASSIFICATION
Number
025
.
5/24
Edition
22
LIBRARY OF CONGRESS CLASSIFICATION
Class number
TK5105
.
88815
Book number
.
L56
2011
PERSONAL NAME - PRIMARY RESPONSIBILITY
Lim, Edward H. Y.
PERSONAL NAME - ALTERNATIVE RESPONSIBILITY
Lee, R. S. T., (Raymond S. T.)
Liu, J. N. K., (James N. K.)
ORIGINATING SOURCE
Date of Transaction
20201204235619.0
Cataloguing Rules (Descriptive Conventions))
pn
ELECTRONIC LOCATION AND ACCESS
Electronic name
مطالعه متن کتاب [Book]
Y
