Wikipedia in Edurep

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Dutch talk answering the following: What is Edurep? Why is metadata search important for the educational domain? Why we want automatic metadata generation? How did I extract descriptive and educational metadata from Wikipedia? What's possible for the future?

Tecnologia

Wikipedia in Edurep

Wim Muskee

kennisnet :: edurep :: geekness http://flic.kr/p/7AXNfY

Edurep?
maakt leermiddelen vindbaar

http://flic.kr/p/5mTkg

http://flic.kr/p/8kxWiu

aanbieders leermiddelen
webpagina's, online documenten, boeken,
leskisten

titel

beschrijving

auteur

uitgever

identifier

formaat

http://flic.kr/p/PsJZq

metadata verzamelen

http://flic.kr/p/8tWBqS

http://flic.kr/p/8V8H7U

indexeren, zoekbaar maken

API, voorbereiden voor vinden

http://flic.kr/p/aAyaQM

data
base
metadata

metadata Edurep

tekst

tekst
WikiExtractor
info

http://medialab.di.unipi.it/wiki/Wikipedia_Extractor

titel

beschrijving

trefwoord

identifier

Tekst Leesbaarheid
Flesch-Kincaid
Coleman-Liau
Dale-Chall
SMOG
KPC (oude AVI)

Frequentie
● 1.299.478 unieke woorden
● 636.045 woorden komen 1x voor
● 1. “de” 10.333.955
● 2. “van” 5.333.294
● 100. “alle” 96.791
● 1000. “juist” 9.743
● 10000. “diefstal” 643

wpm

leeftijd

x aantal woorden = studielast

http://flic.kr/p/7xWJEf

Mapping
Wikipedia categoriën naar onderwijs begrippen

Naive Bayes Classificatie

gezond

bedrijf

voedsel
mac Steve Jobs
fruit

laatste slide

software:
NLTK, WikiExtractor, python-hyphenator, Myspell
dictionary van opentaal.org, readability-score

Wim Muskee
wimmuskee@gmail.com
www.flowledge.nl

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Wikipedia in Edurep

1. Wikipedia in Edurep Wim Muskee kennisnet :: edurep :: geekness http://flic.kr/p/7AXNfY

2. Edurep? maakt leermiddelen vindbaar http://flic.kr/p/5mTkg

3. http://flic.kr/p/8kxWiu aanbieders leermiddelen webpagina's, online documenten, boeken, leskisten

4. metadata http://flic.kr/p/5wtWtD

5. titel beschrijving auteur uitgever identifier formaat http://flic.kr/p/PsJZq

6. http://flic.kr/p/9whYj vakgebied

7. http://flic.kr/p/864wsR leerniveau

8. http://flic.kr/p/8WAMFX leerdoel

9. http://flic.kr/p/9ZaTgJ studielast

10. metadata verzamelen http://flic.kr/p/8tWBqS

11. http://flic.kr/p/8V8H7U indexeren, zoekbaar maken

12. API, voorbereiden voor vinden http://flic.kr/p/aAyaQM

13. http://flic.kr/p/8KmHa4

14. http://flic.kr/p/bptwC

15. http://flic.kr/p/5p5zS2

16. http://flic.kr/p/74trS

17.

18. http://www.edurep.nl

19. met de hand http://flic.kr/p/5UnAv6

20. automatiseren http://flic.kr/p/C8Jub

21. data base metadata metadata Edurep tekst tekst WikiExtractor info

22. http://medialab.di.unipi.it/wiki/Wikipedia_Extractor

23. titel beschrijving trefwoord identifier

24.

25.

26.

27. leerniveau

28. Tekst Leesbaarheid Flesch-Kincaid Coleman-Liau Dale-Chall SMOG KPC (oude AVI)

29. Frequentie ● 1.299.478 unieke woorden ● 636.045 woorden komen 1x voor ● 1. “de” 10.333.955 ● 2. “van” 5.333.294 ● 100. “alle” 96.791 ● 1000. “juist” 9.743 ● 10000. “diefstal” 643

30.

31. http://flic.kr/p/9ZaTgJ studielast

32. wpm leeftijd x aantal woorden = studielast

33.

34. http://flic.kr/p/9whYj vakgebied

35. http://flic.kr/p/7xWJEf Mapping Wikipedia categoriën naar onderwijs begrippen

36. Naive Bayes Classificatie gezond bedrijf voedsel mac Steve Jobs fruit

37. leer + Edurep classificaties

38. laatste slide software: NLTK, WikiExtractor, python-hyphenator, Myspell dictionary van opentaal.org, readability-score Wim Muskee wimmuskee@gmail.com www.flowledge.nl

Wikipedia in Edurep

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