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A semantic approach for extracting domain taxonomies from text

A semantic approach for extracting domain taxonomies from text. Presenter : CHANG, SHIH-JIE Authors: Kevin Meijer, Flavius Frasincar , Frederik Hogenboom 2014.DSS. Outlines. Motivation Objectives Methodology Experiments Conclusions Comments. Motivation.

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A semantic approach for extracting domain taxonomies from text

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  1. A semantic approach for extracting domain taxonomies from text Presenter: CHANG, SHIH-JIE Authors: Kevin Meijer, Flavius Frasincar, FrederikHogenboom2014.DSS.

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

  3. Motivation • Manually creating a taxonomyis difficult and time consuming process and may not be high quality.

  4. Objectives • This paper presents a framework using a semantic approach for the automatic building of a domain taxonomy, called Automatic Taxonomy Construction from Text (ATCT).

  5. Methodology    

  6.   

  7. Methodology – term filtering domain pertinence lexical cohesion domain consensus domain score of term t in domain corpus Di

  8. WSD on text corpora WSD on existing taxonomies

  9. Methodology – Concept hierarchy creation score(pricing | ‘pricing behavior’) = 0.6 + ½*0.4 +1/3*0.3= 0.9 score(trading| ‘pricing behavior’) = 0.7 + ½*0.3 = 0.85

  10. Implementation WSDresult

  11. Implementation hierarchy creationresult

  12. Experiments semantic precision semantic recall

  13. Experiments – core taxonomy V.S. reference taxonomy

  14. Experiments – two measures taxonomic precision taxonomic recall global taxonomic precision global taxonomic recall taxonomic F-measure

  15. Experiments

  16. Experiments

  17. Conclusions • ATCT framework can be successfully applied to • other domains than economics and management. • Our approach works well in capturing the • broader–narrower relation between concepts .

  18. Comments • Advantages • Define concepts well. • Applications • Built taxonomies 、Term extraction and filtering.

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