Description
Springer Knowledge Seeker - Ontology Modelling For Information Search And Management A Compendium 2011 Edition by Edward H. Y. Lim James N. K. Liu Raymond S.T. Lee
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. Table of contents : Part I Introduction.- Part II KnowledgeSeeker - An Ontology Modeling and Learning Framework.- Part III KnowledgeSeeker Applications.