Stock image for illustration purposes only - book cover, edition or condition may vary.
Knowledge Seeker - Ontology Modelling for Information Search and Management
Lim, Edward H. Y.; Liu, James N. K.; Lee, Raymond S. T. (Hong Kong Polytechnic University, Hong Kong China)
€ 118.85
FREE Delivery in Ireland
Description for Knowledge Seeker - Ontology Modelling for Information Search and Management
Paperback. This detailed survey of the ontology modelling application Knowledge Seeker demonstrates how it can improve the efficiency of traditional information systems, increase the accuracy of text classification, and enhance the capabilities of search engines. Series: Intelligent Systems Reference Library. Num Pages: 263 pages, biography. BIC Classification: KJT; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 14. Weight in Grams: 409.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2013
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
263
Condition
New
Series
Intelligent Systems Reference Library
Number of Pages
237
Place of Publication
Berlin, Germany
ISBN
9783642266911
SKU
V9783642266911
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Knowledge Seeker - Ontology Modelling for Information Search and Management