1. http://www.lietsi.com
thanh@SEOs.vn

2. Historical Facts
 1.1 mil killed soldiers (martyrs) during
Vietnam War
 Many of them are LOST:
 Martyrs’ graves be gathered, yet unknown to
their families (about 50,000)
 Unknown martyrs, therefore not be gathered
yet (about 500,000)
 No strong ties / connections between:
 Families of different martyrs
 Martyrs’ families & veterans
 All these lead both historical and social
concerns up to now

3. Reasons
 Gathered but LOST to the family:
 Economic reason/ Poor; geographic
distance didn’t allow the searching
grave efforts from their families
 Martyrs’ important documents got lost
during war
 Misinformation (death info, camp’s unit
code info) during war
 Unfound, Unknown Martyrs
 Fierce war
 Bad logistics

4. Information holding by family
• Too short and unclear
• More detail information is only available in
Ministry of Defense’s archives, which is nearly
impossible to access to due to data security.
• Even, in MoD’s files, there is not enough data
about the location of the martyrs’ tombs
• In most cases, the death notice paper is the
only piece of information that the martyr’s
family can have.

5. Current popular solutions
 Ask for the help from telepaths
 Ask for information from the martyr’s fellows
 Ask for access to MoD’s archives to find out where the
martyr died then scan every martyr’s cemetery in the
region.
 Advertise on media
ALL are costly and not very effective
with low chances of success

6. Martyrs Finding Social Network
 Purpose: Using community
resources in order to help martyr’s
family to find remains of their
loved ones by approaching new
science-based method with high
accuracy.
 Procedure: is divided into these
below steps:
 Step 1: Digitalize all the martyrs
cemeteries in Vietnam
 Step 2: Build the DNA database of
martyrs relatives
 Step 3: Build the DNA database of
anonymous martyrs

7. LietSi.com – Stage 1
 Aim: Digitalize all Martyrs’
cemeteries in Vietnam, make them
searchable on the internet
 Method: Using social powers and
computer science methods
 Simplify martyrs searching work to
normal computer activities, reduce
all the cost of searching progress

8. System Structure

9. Developing model
Octopus-like model
Depending on several different social
networks through social applications
• Social network users will
contribute to digitalize figures
• The head of the octopus is the
website lietsi.com including
searching tool and software tools
Google+ that serve to take and upload
photos
ZingMe
Facebook • Each tool, technology or social
application will be undertaken by
experts in each field who are
willing to dedicate

10. Technologies
 Social Networking
 Massive-scale online
collaboration
 Optical Character
Recognization (OCR)
 Image Fingerprinting
 Mobile Application
Development
 Data Mining

11. Massive Scale Online Collaboration
• Pyramids, Wikipedia, etc.,
all great works of the
humankind are made from
minor contribution of each
individual
• Google ReCaptcha – Stop
spam, read books: prevent
spam, and 129 million books,
4 billion book sheets, 2,000
billion words will have been
digitalized by the end of this
decade
• Duolingo.com: study foreign
languages, and translate all
websites from one language to
another

12. Result
 Extracted information from the
tombstone photo is turned
into searchable data
 With the information, it is
much easier to locate the
current tombstone
 Digitalise all tombstone
information by the help of
contributors

13. Contributors
 People from their family
 Volunteers from the Youth
Organisations
 Volunteers from Non-profit
Organisations
 Members from top social
networks: Facebook, Google+,
Zing Me and Pinterest…
 The objective: contributions
from everybody

14. Feasibility
 Cell-phones with camera are popular
 1.1 mil is not a big number for a
country with population of 100 mil
 Computer science can control the data
quality
 Lot of people, especially the youth,
want to contribute something for their
society
 There will be many other interactive
features on the network

15. LietSi.com – Stage 2
 Aim: establishing a DNA data bank of
unknown, missing revolutionary
martyrs’ close relative
 Reason
 Close relative genes for DNA matching
 The number of revolutionary martyrs’
close relative is few and decreasing
 Feasibility
 Payment from martyr’s families
 Government Funds
 Foreign Funds
 Current average cost: 20$ - 150$ / case

16. LietSi.com – Stage 3
 Aim: To discover the identities
of the nameless martyrs by DNA
analysis method, which
compares their DNA with those
in their relatives' DNA bank
 need to rely on the innovation
of bio-informatics in the future,
with less expensive Dna
experiments and more feasible
big-scale projects
 Can be solved in 10 years

17. Discussion