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Making topic maps from Subject Headings for liking and organizing information 2010-4-15 Motomu Naito Center for Integrated Area Studies (CIAS) Kyoto University [email_address] Ψ http://psi.ontopedia.net/Motomu_Naito http://www.cias.kyoto-u.ac.jp/english/CIAS/
Table of Contents ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
1 . Background: Area Study and Area Informatics ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Source: Shoichiro Hara, TMJP2010, http://www.knowledge-synergy.com/events/documents/TMJP2010-hara.pdf
Model of Area Informatics Source: Shoichiro Hara, TMJP2010
2. Purpose ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
3. Subject Headings ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
3.1  NDLSH ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
NDLSH Ontology ,[object Object]
NDLSH topic map application ,[object Object]
3.2  BSH ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
BSH Ontology ,[object Object]
BSH topic map application ,[object Object]
3.3  LCSH ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
LCSH Ontology ,[object Object]
LCSH topic map application ,[object Object]
4.  Practical use of Subject Headings Subject Headings can be used as Organized PSI to organize, control and link information ・  According to SH, organizing internal and external information  ・  In order to enrich our own subjects and vocabularies, merging them with SH ・  Multilanguage mapping using LCSH as a core system ・  SH providing web service using TMRAP or SDShare protocol ・ To link SH with words within our tools such as Hu-Time ・ To use SH for thesaurus query
Example 1: Organizing Wikipedia ・ Organizing Wikipedia according to SH ・ Available links to Wikipedia (NDLSH: 12051, BSH: 6086) Articles of Wikipedia NDLSH, BSH or LCSH
Organizing Wikipedia Beer Hop Malt Wines and Spirits Liquor Amenities of life Wine Whiskey Fruit liquor Brandy Barley Beer Distilled liquor The world around “Beer” in NDLSH
Organizing Wikipedia We can easily generate Wikipedia’s address “ http://ja.wikipedia.org/wiki/”  +  “ ビール”  (SH)
Example 2: Enrich our own subjects Sometimes SH doesn’t have enough subjects or vocabulary though it is very hard to gather enough subjects from scratch by ourselves By merging our own subjects with SH we can get enriched subjects SH Our own subjects merge Beer Ale Beer Lager Bock Pilsner IPA Barley Wine
Example 3: Mapping between multi-language If each language is mapped to LCSH, multi-language mapping will be achieved NDLSH or BSH (Japanese) LCSH (English) merge merge merge merge Norwegian SH (Norwegian) e.g. Japanese Norwegian mapping via LSCH (English) ビール Beer Øl
Mapping between multi-language Link from NDLSH to LCSH  (USE-UF relation between NDLSH and LCSH) LCSH
Example 4: Web service for providing Subject Headings Ontopia -  Navigator Framework  -  Query engine Topic Maps  Web Application  -  JSP Page  Topic Map SH Topic Map Ontopia -  Navigator Framework  -  Query engine Topic Maps Web Application  -  JSP Page  Client SH providing Web service “ Term or Subject” “ Subject” topic Request SH  Return  SH related  TM fragments SH related  information Subject Headings providing web service using TMRAP or SDShare Information from client’s Web application
5.  Demo I will do short demo if I have enough time
6. Conclusion ・  CIAS has already stored huge amount of information to organize  ・  Many well organized knowledge has already existed and we are  trying to use them to organize information ・  We are focusing attention on Subject Headings and thesauri such as NDLSH, BSH, LCSH, etc.  ・  We are making topic maps and their web application from them ・  Topic maps can inherit Subject Headings and their relationships  such as BT-NT, RT and USE-UF naturally ・  According to the relationships, information can be linked and  organized ・  there are many practical way to use them ・  By providing Subject Headings as topic maps and PSI for use in  the context of Linked Topic Maps, they will become powerful  elements and they will be used in many way
7. Future work ・  To prompt NDL and JLA to expose their SH with IRI ・  Continue to try to achieve multi-language mapping  using SH ・  Continue to try to realize the web service for  providing SH ・  Continue to try to merge our domain subjects with SH  ・  Continue to try to find out good ways to link SH with  information resources
ありがとう ございました。 Tusen Takk!

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Making topic maps from Subject Headings for linking and organizing

  • 1. Making topic maps from Subject Headings for liking and organizing information 2010-4-15 Motomu Naito Center for Integrated Area Studies (CIAS) Kyoto University [email_address] Ψ http://psi.ontopedia.net/Motomu_Naito http://www.cias.kyoto-u.ac.jp/english/CIAS/
  • 2.
  • 3.
  • 4. Model of Area Informatics Source: Shoichiro Hara, TMJP2010
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16. 4. Practical use of Subject Headings Subject Headings can be used as Organized PSI to organize, control and link information ・ According to SH, organizing internal and external information ・ In order to enrich our own subjects and vocabularies, merging them with SH ・ Multilanguage mapping using LCSH as a core system ・ SH providing web service using TMRAP or SDShare protocol ・ To link SH with words within our tools such as Hu-Time ・ To use SH for thesaurus query
  • 17. Example 1: Organizing Wikipedia ・ Organizing Wikipedia according to SH ・ Available links to Wikipedia (NDLSH: 12051, BSH: 6086) Articles of Wikipedia NDLSH, BSH or LCSH
  • 18. Organizing Wikipedia Beer Hop Malt Wines and Spirits Liquor Amenities of life Wine Whiskey Fruit liquor Brandy Barley Beer Distilled liquor The world around “Beer” in NDLSH
  • 19. Organizing Wikipedia We can easily generate Wikipedia’s address “ http://ja.wikipedia.org/wiki/” + “ ビール” (SH)
  • 20. Example 2: Enrich our own subjects Sometimes SH doesn’t have enough subjects or vocabulary though it is very hard to gather enough subjects from scratch by ourselves By merging our own subjects with SH we can get enriched subjects SH Our own subjects merge Beer Ale Beer Lager Bock Pilsner IPA Barley Wine
  • 21. Example 3: Mapping between multi-language If each language is mapped to LCSH, multi-language mapping will be achieved NDLSH or BSH (Japanese) LCSH (English) merge merge merge merge Norwegian SH (Norwegian) e.g. Japanese Norwegian mapping via LSCH (English) ビール Beer Øl
  • 22. Mapping between multi-language Link from NDLSH to LCSH (USE-UF relation between NDLSH and LCSH) LCSH
  • 23. Example 4: Web service for providing Subject Headings Ontopia - Navigator Framework - Query engine Topic Maps Web Application - JSP Page Topic Map SH Topic Map Ontopia - Navigator Framework - Query engine Topic Maps Web Application - JSP Page Client SH providing Web service “ Term or Subject” “ Subject” topic Request SH Return SH related TM fragments SH related information Subject Headings providing web service using TMRAP or SDShare Information from client’s Web application
  • 24. 5. Demo I will do short demo if I have enough time
  • 25. 6. Conclusion ・ CIAS has already stored huge amount of information to organize ・ Many well organized knowledge has already existed and we are trying to use them to organize information ・ We are focusing attention on Subject Headings and thesauri such as NDLSH, BSH, LCSH, etc. ・ We are making topic maps and their web application from them ・ Topic maps can inherit Subject Headings and their relationships such as BT-NT, RT and USE-UF naturally ・ According to the relationships, information can be linked and organized ・ there are many practical way to use them ・ By providing Subject Headings as topic maps and PSI for use in the context of Linked Topic Maps, they will become powerful elements and they will be used in many way
  • 26. 7. Future work ・ To prompt NDL and JLA to expose their SH with IRI ・ Continue to try to achieve multi-language mapping using SH ・ Continue to try to realize the web service for providing SH ・ Continue to try to merge our domain subjects with SH ・ Continue to try to find out good ways to link SH with information resources