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Can I read Knowledge Seeker - Ontology Modelling for Information Search and Management on EtoBox?

Knowledge Seeker - Ontology Modelling for Information Search and Management by Edward H. Y. Lim, James N. K. Liu, Raymond S. T. Lee is a nonfiction available to read on EtoBox.

What is Knowledge Seeker - Ontology Modelling for Information Search and Management about?

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 Knowledge Seeker 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

Who reads Knowledge Seeker - Ontology Modelling for Information Search and Management?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Edward H. Y. Lim, James N. K. Liu, Raymond S. T. Lee
Published
2011
Language
EN
Category
nonfiction
Subjects
Science, Library & Information Science, Stem

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