Web-based Evidence Excavation to Explore the Authenticity of Local Events Ryong Lee Daisuke Kitayama...

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Web-based Evidence Excavation to Explore the Authenticity of Local Events Ryong Lee Daisuke Kitayama Kazutoshi Sumiya School of Human Science and Environment University of Hyogo, Japan

Transcript of Web-based Evidence Excavation to Explore the Authenticity of Local Events Ryong Lee Daisuke Kitayama...

Page 1: Web-based Evidence Excavation to Explore the Authenticity of Local Events Ryong Lee Daisuke Kitayama Kazutoshi Sumiya School of Human Science and Environment.

Web-based Evidence Excavation to Explore the Authenticity of Local Events

Ryong Lee Daisuke Kitayama Kazutoshi Sumiya

School of Human Science and Environment

University of Hyogo, Japan

Page 2: Web-based Evidence Excavation to Explore the Authenticity of Local Events Ryong Lee Daisuke Kitayama Kazutoshi Sumiya School of Human Science and Environment.

Outline• Motivating Problem

– Authentic Local Information Search on the Web– Evidence Search for Local Events

• Credibility Layer in LBS Platform– Toward Credible Next Generation LBS

• Our Approaches:– Web-based Evidence Excavation, similar to the work of Archaeologists– Computational Model to validate Credibility

• Conclusion

Page 3: Web-based Evidence Excavation to Explore the Authenticity of Local Events Ryong Lee Daisuke Kitayama Kazutoshi Sumiya School of Human Science and Environment.

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Motivating Problem: Authentic Local Information Search

• Is it true?

: Tom’s visit in our small town? Surprise!!

• How can we believe it?

: Can we find the evidence also on the web?

• We need ‘Evidence Search’ functions for local events on the web.

Page 4: Web-based Evidence Excavation to Explore the Authenticity of Local Events Ryong Lee Daisuke Kitayama Kazutoshi Sumiya School of Human Science and Environment.

Evidence Search for Local Events

User Usage Procedure:1. A user browses a page about real-

world events

2. The user selects a part of interests on the browsing page.

3. The system detects the selected texts and generate a query to do evidence search.

4. Perform evidence similarity search

5. List up the found evidence list by degree of their credibility

A User Interface for Evidence Search

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Page 5: Web-based Evidence Excavation to Explore the Authenticity of Local Events Ryong Lee Daisuke Kitayama Kazutoshi Sumiya School of Human Science and Environment.

Credible LBS Platform

Map the Webthe Web

LBS App.LBS App.

Map the Webthe Web

Credible LBS App.Credible LBS App.

CredibilityValidationCredibilityValidation

Map control Evidence control

Two Info. Sources

static dynamic

Page 6: Web-based Evidence Excavation to Explore the Authenticity of Local Events Ryong Lee Daisuke Kitayama Kazutoshi Sumiya School of Human Science and Environment.

Credible LBS Platform

Map the Webthe Web

LBS App.LBS App.

Map the Webthe Web

Credible LBS App.Credible LBS App.

Map control Evidence control

CredibilityValidationCredibilityValidation

Page 7: Web-based Evidence Excavation to Explore the Authenticity of Local Events Ryong Lee Daisuke Kitayama Kazutoshi Sumiya School of Human Science and Environment.

Problem: Web-based Evidence Excavation

1. Web pages can always change and disappear- It is important to keep track of the changes. --> Web Archive

2. Huge size makes it impractical to process queries in real-time. - pre-indexing/clustering in spatio-temporal dimensions- query : (time,space)-> event lists (as evidence)

3. Quality/Objectiveness Control:- credibility computation method: trustworthiness and authority

Page 8: Web-based Evidence Excavation to Explore the Authenticity of Local Events Ryong Lee Daisuke Kitayama Kazutoshi Sumiya School of Human Science and Environment.

Evidence Excavation Process

EventEvent

WebWeb• Event: (time, space, vestige)

• Spatial Dimension Analysis: - Geocoding: geowords--> positions on the map

• Temporal Dimension Analysis: - datetime recognition in regular expression

• Event Clustering: - by a condition of ‘similar time periods AND near places AND similar keyword vectors’

Page 9: Web-based Evidence Excavation to Explore the Authenticity of Local Events Ryong Lee Daisuke Kitayama Kazutoshi Sumiya School of Human Science and Environment.

What’s the difference between Archaeologists and us ?

Archaeologists Web-based Evidence Search

Target

Source

How-to

Periods

humanity’s material remains: buildings, art and even bodies

web documents or media

treasures or materials to know history evidence about real-world events

events in past age events in past, current and future

from the earth-born time to now? from the 1990 to now (very short period, relatively)

A painstaking digging or whipping?

web archiving and analysis

Physical Size

At most, volume of the earth?

sum of the storage size?

Imaginary Size

#(old historic stories) At least, #(the Web pages)exponentially increasing

Page 10: Web-based Evidence Excavation to Explore the Authenticity of Local Events Ryong Lee Daisuke Kitayama Kazutoshi Sumiya School of Human Science and Environment.

Credibility Computation:Trustworthiness and Authority

Trustworthiness: degree of worthiness of confidence

Authority: degree of power cited or appealed to as an expert

Trustworthinessof events

Trustworthinessof events

Authorityof info. sources

Authorityof info. sources

based on Definition from the Merriam-Webster Online Dictionary

Both degrees should be changed dynamically.

Page 11: Web-based Evidence Excavation to Explore the Authenticity of Local Events Ryong Lee Daisuke Kitayama Kazutoshi Sumiya School of Human Science and Environment.

Don’t believe the words of your boss !• Milgram Experiment*1: measured the willingness of study participants to obey an

authority figure who instructed them to perform acts that conflicted with their personal conscience. (Stanly Milgram, Yale Univ. 1963)

*1: Milgram, Stanley. (1974), Obedience to Authority; An Experimental View. Harpercollins.

Experimental Setting:- Experimenter(E) orders the the teacher(T) to ask questions and give penalties to a Learner (L), if L cannot solve them. - T believes that painful electric shocks go to L from 45V to 450V(!) as a penalty.- L in reality has no shocks and just scream.- L and T are separated in different two rooms.- T should continue giving problems to L and giving penalties by the order of E, even though the screaming continues.

How many percent of participants pushed the 450V killing Voltage to the students giving up their conscience?

command

question/penalty answer/

scream65% of participants pushed to the 450V!!

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Dynamic CredibilityTo be more objective and independent on specific authorities,trustworthiness and authority should be changed dynamically.

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Trust depends on Authorities.Good trustful data is being referred to by many good authorities.

Authority depends on Trust.Good authority has many trustful evidence.

based on HITS

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Exampleevents

e1

e2

e3

e4

e5

sitess1s2s3s4s5s6s7s8s9s10

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starting from self-evaluation

starting from same authority

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Conclusion• A framework of Evidence Search for Local Events on the

web was introduced.

• For objective and dynamic credibility estimation of the web contents, an interdependent evaluation method based on trustworthiness and authority was presented.

• Based on these computational credibility validation, we believe that Next Gen. LBS will be much more CREDIBLE !!

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Credible LBS Platform

Map the Webthe Web

LBS App.LBS App.

Map the Webthe Web

Credible LBS App.Credible LBS App.

Map control Evidence control

CredibilityValidationCredibilityValidation

Future work

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Problem: Map Consistency Control• Map is a key platform to integrate with various information.• Maps out-of-dated can cause inconsistency problems later.• Cartographers are hard to follow up map-update requests so fast.• But someone on the Web knows map changes and writes them over a

personal blog page.• If we can find them and are possible to translate the web contexts into

an map update contexts(delete/add/change,etc.)….

Challenging Task: Map Update using Web Contents Analysis

Future work

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Map Update using Web Contents Analysisdisappear move appear

AB

BA

A

B

C

BX

XB

B

A

C

co(A,B) co(A,B) co(A,C) co(X,B)

identify (X)

t t t

t1

t2weaker

strong weakstrong

weaker stronger

stronger

C

C

strong

strong

co(B,C)

Future work