TMRA 2009
Construction of Authority Information for
 Personal Names Focused on the Former
  Japanese Nobility using a Topi...
Table of Contents
1. Introduction
2. Target of investigation
       g            g
3. Constructing Authority Information
4...
1. Introduction
Background
・ There are many variant p
                 y        personal names for the same Japanese
     ...
2. Target information
・ In the first stage, we are constructing a topic map of the authority
  information relatively smal...
3. Constructing Authority Information

We constructed our first topic map for the Authority
Information according to the f...
3.1 Categorizing authority information
・ We collected and analyzed information items
・ We categorized those items and mapp...
table: Categories of personal name source data (2/3)
Categories of personal name authority information                   C...
table: Categories of personal name source data (3/3)
Categories of personal name authority information                    ...
3.2 Ontology making
 We made ontology according to the categorized items (subjects)
and relationships between them




   ...
3.3 Topic map making
- The topic map was generated using DB2TM which is
  included in Ontopia
                    p
- Onto...
3.4 Application making
 We developed the application using Ontopia Navigator Framework

 The f
 Th feature of the web appl...
4. Demo
The b
Th web application for personal authority topic map
          li i f              l h i          i




     ...
5. Issues and discussion
 5.1 Person’s name problem
- Many names for one person
      y                p
- The same name f...
5. Issues and discussion
5.2 Diversity of Information Items
5 2 Di    it f I f      ti It
(1) Two kind of information item...
5. Issues and discussion
5.3 Problems of Centralized Topic Map
・ Authority information consists of diverse items and many
...
6. Future work:
    Toward Distributed and Linked Topic Maps
Instead of centralized topic map, distributed and linked topi...
Toward Distributed and Linked Topic Maps
We
W are planning to use the mechanism of TMRAP, Subj3ct,
        l i            ...
7. Conclusion
・ As the first stage, we created the topic map for personal name
  authority information focused on the form...
Thank you!
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Construction of Authority Information for Personal Names Focused on the Former Japanese Nobility Using Topic Map

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Variant personal names for the same Japanese historical individuals exist, and when handling historical data it is desirable to control these. Furthermore, by grasping the position the family an individual belongs to within a genealogy or organization, it is possible to estimate the individual’s social position and the power he might command. At present there is no database providing such information in Japan, and there is a need to construct the authority information for personal names structured in a standardized data descriptive language. On this basis, the present study describes a project to construct authority information for the former Japanese noble families, which played a central role in the modernization of Japan, and for persons related to them, using topic map.

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Construction of Authority Information for Personal Names Focused on the Former Japanese Nobility Using Topic Map

  1. 1. TMRA 2009 Construction of Authority Information for Personal Names Focused on the Former Japanese Nobility using a Topic Map p y g p p 2009/11/12, Leipzig, Germany , p g, y Norio Togiya (togiya.norio@iii.u-tokyo.ac.jp) University of Tokyo Motomu Naito (motom@green.ocn.ne.jp) Knowledge Synergy Inc.
  2. 2. Table of Contents 1. Introduction 2. Target of investigation g g 3. Constructing Authority Information 4. Demo (authority topic map) 5. Issues and Discussion 5.1 Person s 5 1 Person’s name problem 5.2 Diversity of Information Items 5.3 5 3 Problems of Centralized Topic Map 6. Future work: Toward Distributed and Linked Topic Maps 7. Conclusion
  3. 3. 1. Introduction Background ・ There are many variant p y personal names for the same Japanese p historical individual ・ When handling historical data it is desirable to control them ・ But there i no database providing such information in Japan at h is d b idi hi f i i the present ・ There is a need to construct the authority information for personal names structured in a standardized data description language Purpose ・ To investigate and analyze persons who played significant social and cultural role ・ To construct the authority information of them to support historical and cultural study
  4. 4. 2. Target information ・ In the first stage, we are constructing a topic map of the authority information relatively small scale and limited area ・ We are focusing on the former Japanese nobility ・ Japanese aristocracy is existing from after Meiji Restoration in 1869 until after the end of WWⅡ i 1947 til ft th d f in ・ They played significant social and cultural roles in the pre WWⅡ pre-WWⅡ period ・ They often changed their name and had many alias names ・ Meanwhile different persons often had the same name
  5. 5. 3. Constructing Authority Information We constructed our first topic map for the Authority Information according to the following process I f i di h f ll i - Categorizing authority information -O l Ontology making ki - Topic map making - A li i making Application ki
  6. 6. 3.1 Categorizing authority information ・ We collected and analyzed information items ・ We categorized those items and mapped them to information items of Topic Maps ・ The following table shows the categories and TM correspondence table: Categories of personal name source data (1/3) Categories of personal name authority information Correspondence in Topic Maps Name Kanji (family name/personal name) Topic name (multiple responses Reading (family name/personal name) Variant and/or Internal occurrence possible) Romanization (family name/personal name) Variant and/or Internal occurrence Type of names (alternatives or childhood Variant and/or Internal occurrence names) (multiple responses possible) Nationality (multiple responses possible) Linked by association to other topics Gender (multiple responses possible) Linked by association to other topics Rank (multiple responses possible) Linked by association to other topics Profession (multiple response possible) Linked by association to other topics Person ID Subject ID
  7. 7. table: Categories of personal name source data (2/3) Categories of personal name authority information Correspondence in Topic Maps Related URL/URI Person URI External occurrence Related URL (multiple response possible) External occurrence Dates of birth and DOB (Western calendar only) External occurrence death (multiple responses possible) DOD (Western calendar only) External occurrence (multiple responses possible) Brief biography Japanese biography Internal occurrence English biography Internal occurrence Place of birth (multiple responses possible) Pl f bi th ( lti l ibl ) Linked by Li k d b association t other t i i ti to th topics Place of residence (multiple responses possible) Linked by association to other topics
  8. 8. table: Categories of personal name source data (3/3) Categories of personal name authority information Correspondence in Topic Maps Administrative data Date of input (multiple responses possible) Internal occurrence Last update Internal occurrence Type Internal occurrence Language code (multiple responses possible) Internal occurrence Character code Internal occurrence Source confirmation Internal occurrence Input by (multiple responses possible) Internal occurrence Relationship (multiple Teacher, student, acquaintance, father, mother, Association responses possible elder brother, elder sister, younger brother, younger sister, husband, wife, child
  9. 9. 3.2 Ontology making We made ontology according to the categorized items (subjects) and relationships between them Ontology diagram of the topic map - Squares represent Topic types - Lines represent Association types
  10. 10. 3.3 Topic map making - The topic map was generated using DB2TM which is included in Ontopia p - Ontology definition file and XML configuration file are needed for DB2TM - Ontology definition file defines the following: - Topic types - Name types - Association types yp - Association role types - Occurrence types - XML configuration file defines the mapping rule from EXCEL (CSV f format) i ) into the ontology d fi i i h l definition
  11. 11. 3.4 Application making We developed the application using Ontopia Navigator Framework The f Th feature of the web application f h b li i - Displaying instance list of each J2EE Web Server topic type e.g. Tomcat - Displaying instance detail http (names, occurrences and assciations) JSP Page - N i i topic map Navigating i topic - Character string search map Taglibs - Tolog query interface - Graphical representation <HTML> pages Query engine server client (Source: Ontopia, “The Ontopia Navigator Framework Developer’s Guide” )
  12. 12. 4. Demo The b Th web application for personal authority topic map li i f l h i i Screen shots of the application
  13. 13. 5. Issues and discussion 5.1 Person’s name problem - Many names for one person y p - The same name for many persons - Three notations for each name Kanji name Reading (Katakana or Hiragana name) g( g ) Roman name - How to describe them as topic name p - Content model is showed as follows: name = element name { typicalName, aliasName* } typicalName = element typicalName { kanjiName, katakanaName, romanName } aliasName = element aliasName { kanjiName, katakanaName, romanName } j
  14. 14. 5. Issues and discussion 5.2 Diversity of Information Items 5 2 Di it f I f ti It (1) Two kind of information items ・ Fundamental information items d li f i i They are good candidate for PSI and PSD ex: typical name alias nationality gender, orders, name, alias, nationality, gender orders date of birth and death, born and lived place, etc. ・ Specific information items p They change according to individual domain and view ex: biographical outline, achievement, personal connection, position, expertise, etc. ii i (2) Items not depend on person ex: place country organization, occupation, etc. place, country, organization occupation etc ・ We cannot make exhaustive list for them if we pick up them by occurrence basis. But if we make those list once, we can y share them among many application
  15. 15. 5. Issues and discussion 5.3 Problems of Centralized Topic Map ・ Authority information consists of diverse items and many independent items ・ It is very difficult and troublesome to integrate those items into one centralized topic map ・ Such topic map become complicated, hard to understand and difficult to maintain ・ Moreover there are different relations depending on domains and ranges and they change according to the point of views ・ It is desirable that we can filter out specific relation and link from others flexibly
  16. 16. 6. Future work: Toward Distributed and Linked Topic Maps Instead of centralized topic map, distributed and linked topic maps are preferable ・ Those topic maps are specialized and relatively simple and small ・CCurrently a large amount of person’s information is inherited by tl l t f ’ i f ti i i h it d b many libraries, museums, research institutes, etc. separately. ・ We think it is natural those organization continue to manage them ・ We are making topic maps about information owned by them - Author information owned by National Diet Library: 800,000 records - Historical person information owned by National Institute of Japanese Literat re: 50,000 records Literature: 50 000 ・ Next we plan to create topic maps for places, countries, organizations, occupations, etc individually ・ Then we will make effort to link them
  17. 17. Toward Distributed and Linked Topic Maps We W are planning to use the mechanism of TMRAP, Subj3ct, l i h h i f TMRAP S bj3 Ontopedia to realize the Distributed and Linked Topic Maps
  18. 18. 7. Conclusion ・ As the first stage, we created the topic map for personal name authority information focused on the former Japanese nobilities y p ・ It made clear the genealogies, the network of the marriage and other interrelationships between them ・ We believe our authority information is very useful for researchers to study persons and their network related social, social cultural and historical affair ・ There are strong needs to personal authority from various domain ・ The data structure, Topic Maps, and the system structure we propose have generality scalability and flexibility generality, ・ Thus, those are adaptable for various fields in the future
  19. 19. Thank you!

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