1 / 13

Mining knowledge from natural language texts using fuzzy associated concept mapping

Mining knowledge from natural language texts using fuzzy associated concept mapping. Presenter : Kung, Chien-Hao Authors : W.M. Wang, C.F. Cheung, W.B. Lee, S.K. Kwok 2008,IPM. Outlines. Motivation Objectives Methodology Experiments Conclusions Comments. Motivation.

mali
Télécharger la présentation

Mining knowledge from natural language texts using fuzzy associated concept mapping

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Mining knowledge from natural language texts using fuzzy associated concept mapping Presenter : Kung, Chien-HaoAuthors : W.M. Wang, C.F. Cheung, W.B. Lee, S.K. Kwok2008,IPM

  2. Outlines • Motivation • Objectives • Methodology • Experiments • Conclusions • Comments

  3. Motivation • Knowledge, for easy retrieval and processing by computers, should be represented in a formal, structured. • Unfortunately, knowledge presented in many documents has an informal, unstructured shape.

  4. Objectives • In order to provide advanced knowledge services, efficient ways are needed to access and extract knowledge from unstructured documents.

  5. Methodology-Framework • Automatic process • Interactive process

  6. Methodology • Automatic process

  7. Methodology • Automatic process • Rule-based reasoning (RBR) • Case-based reasoning (CBR).

  8. Methodology • Automatic process

  9. Methodology • Interactive process

  10. Experiment

  11. Experiment

  12. Conclusions • The method provides users to convert scientific and short texts into a structured format which can be easily processed by computer. • Moreover, the method provides knowledge workers to view their knowledge from another angle.

  13. Comments • Advantages • This paper supplies the rich information. • Applications • Concept mapping.

More Related