Title :
Build Concept Space for Domain of Government Policy Research
Author :
Hui, Zhao ; Jie, Peng ; Ying, Su
Author_Institution :
Inst. of Sci. & Tech. Inf. of China (ISTIC), Beijing, China
Abstract :
Efficient search and demonstration is a hot topic in recent years. But by now, most techniques let information creeping rather than shrinking. In this paper, the government decision-making researchers´ information needs were investigated. This survey showed that the information needs of policy researchers were not the more the better, but concise. Based on the investigation, professional information sources were identified, domain specific vocabularies were established, documents were filtered and indexed. In order to improve the found probability of new concept, the co-occurrence analysis algorithms were adjusted, and the results of the analysis were carried out in a visualizing way.
Keywords :
decision making; government data processing; information filtering; build concept space; cooccurrence analysis algorithms; decision-making researcher information; document filtering; domain specific vocabularies; government policy research; information creeping; professional information sources; Algorithm design and analysis; Data mining; Information analysis; Information retrieval; Information technology; Local government; Space technology; Technology management; Visualization; Vocabulary; concept space; government; information retrieval; policy research; semantic retrieval;
Conference_Titel :
Information Technology and Applications, 2009. IFITA '09. International Forum on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3600-2
DOI :
10.1109/IFITA.2009.460