Paper Info
Title
An intelligent state machine towards task-oriented search support
Abstract
Researchers tend to agree that an increasing quantity of data has caused the complexity and difficulty for information discovery, management and reuse. An essential factor relates to the increasing channels for information sharing. Finding information, especially those meaningful or useful one, that meets ultimate task of user becomes harder then it is used to be. In this research, issues concerning the use of user-generated contents for individual search support are investigated. In order to make efficient use of user-generated contents, an intelligent state machine, as a hybridization of graph model and petri-net model (i.e. Document Sensitive Petri-Net), is proposed. It is utilized to clarify the vague usage scenario between user-generated contents, such as discussions, posts, etc., and to identify correlations and experiences within them. As a practical contribution, an interactive search algorithm that generates potential solutions for individual is implemented. The feasibility of this research is demonstrated by a series of experiments and empirical studies with around 320,000 user-generated contents collected from the Internet and 180 users.
Year
DOI
Venue
2013
10.1109/CYBConf.2013.6617439
Cybernetics
Keywords
Field
DocType
internet,petri nets,decision making,finite state machines,information retrieval,search problems,petri-net model,decision-making support,graph hybridization model,information discovery,information sharing,intelligent state machine,interactive search algorithm,task-oriented search support,user-generated contents,decision support,document sensitive petri-net,human-centered,correlation,user generated content
World Wide Web,Petri net,Information retrieval,Reuse,Computer science,Communication channel,Finite-state machine,Empirical research,Information sharing,Information discovery,The Internet
Conference
Citations 
PageRank 
References 
0
0.34
2
Authors
4
Name
Order
Citations
PageRank
Neil Y. Yen100.34
Qiangfu Zhao221462.36
Y Liu31658.64
Joseph C. Tsai400.34