intelligent database systems lab presenter: yu-ting lu authors: liang-chu chen, ting-jung yu,...
TRANSCRIPT
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
Intelligent Database Systems Lab
Methodology – The phase of chance discovery1. Document preprocessing 2. Extracting high-frequency terms3. Extracting links4. Extracting key terms5. Extracting key links6. Extracting keywords
Intelligent Database Systems Lab
Experiments
Intelligent Database Systems Lab
Experiments - Comprehensive analysis
Intelligent Database Systems Lab
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