Intelligent Database Systems Lab

Presenter: YU-TING LU

Authors: Liang-Chu Chen, Ting-Jung Yu, Chia-Jung Hsieh

2013. ACM

KeyGraph-based chance discovery for exploringthe development of e-commerce topics

Intelligent Database Systems Lab

Outlines

MotivationObjectivesMethodologyExperimentsConclusionsComments

Intelligent Database Systems Lab

Motivation• E-commerce topics are diverse and complex,

leading many scholars to sort e-commerce into

subjective categories.

• This process lacks a dynamic analysis of the

relations among topics, which use the contents

of documents to explore terminology.

Intelligent Database Systems Lab

Objectives• To explore the intellectual structure of e-commerce from

1996 to 2010, and to provide a better understanding of

the structure from the perspective of chance discovery.

• To examine the relationships among research topics in

different phases, and to discuss similarities among

various foci in different studies between international and

Taiwanese research.

Intelligent Database Systems Lab

Methodology

Intelligent Database Systems Lab

Methodology – Data collection

Intelligent Database Systems Lab

Methodology – Vocabulary building and processing

1. Font and typeface

2. Repeated terminology

3. Single words and compounds

4. Synonyms and alternative words

5. Building the thesaurus

Information informationＳｙｓｔｅｍ system

information systeminformation technology

(behavior, behaviour) behavior (strategy, strategies) behavior

information

Intelligent Database Systems Lab

Methodology – Terms retrieval

•The developmental period of the Internet

1996|

2000

•The growth of information technology

2001|

2005

•Expanding applications for commerce

2006|

2010

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Methodology – The phase of chance discovery1. Document preprocessing 2. Extracting high-frequency terms3. Extracting links4. Extracting key terms5. Extracting key links6. Extracting keywords

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Experiments

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Experiments - Comprehensive analysis

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Experiments - Analysis of acceptability

Intelligent Database Systems Lab

Conclusions

• The topics of international electronic commerce have

different thematic features in different stages.

• Taiwanese scholars should pay attention to the research

tendencies and topics of international journals.

• The algorithm and visualization method of KeyGraph is

valuable for helping predict future research areas.

Intelligent Database Systems Lab

Comments• Advantages

- Easier to understand- Serve as references for scholars

• Applications- Text mining- Electronic commerce field