| Vorliegende Sprache |
eng |
| Hinweise auf parallele Ausgaben |
337552118 Buchausg. u.d.T.: ‡Lim, Edward H. Y.: Knowledge seeker |
| ISBN |
978-3-642-17915-0 |
| Name |
Lim, Edward H. Y. |
| Liu, James N. K. |
| Name ANZEIGE DER KETTE |
Liu, James N. K. |
| Name |
Lee, Raymond S. T. |
| T I T E L |
Knowledge Seeker - Ontology Modelling for Information Search and Management |
| Zusatz zum Titel |
A Compendium |
| Verlagsort |
Berlin, Heidelberg |
| Verlag |
Springer-Verlag Berlin Heidelberg |
| Erscheinungsjahr |
2011 |
| 2011 |
| Umfang |
Online-Ressource (XXVI, 238p. 176 illus., 55 illus. in color, digital) |
| Reihe |
Intelligent Systems Reference Library ; 8 |
| Notiz / Fußnoten |
Includes bibliographical references |
| Weiterer Inhalt |
Title; Preface; Contents; Part I Introduction; Chapter 1 Computational Knowledge and Ontology; Chapter 2 Ontology Engineering; Chapter 3 Text Information Retrieval; Chapter 4 Web Data Semantics; Part II KnowledgeSeeker: An Ontology Modeling and Learning Framework; Chapter 5 Ontology Modeling Framework; Chapter 6 Ontology Learning in Chinese Text; Chapter 7 Ontology Graph Generation Process; Chapter 8 Ontology Graph Operations; Part III KnowledgeSeeker: Applications; Chapter 9 Ontology Graph Based Approach for Automatic Chinese Text Classification. Chapter 10 IATOPIA iCMS KnowledgeSeeker - An Integrated Content Management System and Digital Asset Management System (DAMS)Chapter 11 IATOPIA News Channel (IAToNews) - An Intelligent Ontological Agent-Based Web News Retrieval and Search System; Chapter 12 Collaborative Content and User-Based Web Ontology Learning System; References |
| Titelhinweis |
Buchausg. u.d.T.: ‡Lim, Edward H. Y.: Knowledge seeker |
| ISBN |
ISBN 978-3-642-17916-7 |
| Klassifikation |
UYQ |
| COM004000 |
| *68-01 |
| 68T30 |
| 68T35 |
| 68T05 |
| 68P20 |
| 006.3 |
| 650 |
| Q342 |
| Kurzbeschreibung |
The Knowledge Seeker 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 Knowledge Seeker 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. |
| 1. Schlagwortkette |
Information Retrieval |
| Suchmaschine |
| Information Extraction |
| Semantic Web |
| Ontologie <Wissensverarbeitung> |
| 1. Schlagwortkette ANZEIGE DER KETTE |
Information Retrieval -- Suchmaschine -- Information Extraction -- Semantic Web -- Ontologie |
| 2. Schlagwortkette |
Information Retrieval |
| Suchmaschine |
| Information Extraction |
| Semantic Web |
| Ontologie <Wissensverarbeitung> |
| ANZEIGE DER KETTE |
Information Retrieval -- Suchmaschine -- Information Extraction -- Semantic Web -- Ontologie |
| SWB-Titel-Idn |
337805784 |
| Signatur |
Springer E-Book |
| Bemerkungen |
Elektronischer Volltext - Campuslizenz |
| Elektronische Adresse |
$uhttp://dx.doi.org/10.1007/978-3-642-17916-7 |
| Internetseite / Link |
Volltext |
| Siehe auch |
Volltext |
| Siehe auch |
Inhaltstext |
