DocumentCode :
2398317
Title :
Information retrieval for probabilistic pattern matching based on neural network
Author :
Sun, Yanyan ; Lin, Xudong ; Jia, Qin ; Liu, Xuefei ; Chen, Fei
Author_Institution :
Environ. Manage. Coll. of China, Qinhuangdao, China
fYear :
2012
fDate :
19-20 May 2012
Firstpage :
2623
Lastpage :
2625
Abstract :
Distributed information systems tend to be highly heterogeneous, integrating different computer platforms, data storage structure, different database management systems and schemas which converted data structure under one model to data structure under a different model. For these reasons, a probabilistic pattern matching framework based on neural network is introduced. Our approach gives a probabilistic interpretation of the prediction weights of the candidates, selects the rule set with highest matching probability. Pattern matching is the problem of finding correspondences (mapping rules, e.g. logical formulae) between heterogeneous schemas e.g. in the data exchange domain. Through the union formulae, distributed information system may achieve uniform retrieval and provide a strong reference for the research of information retrieval.
Keywords :
database management systems; distributed processing; information retrieval; neural nets; pattern matching; probability; storage management; computer platforms; data storage structure; database management systems; distributed information systems; information retrieval; neural network; probabilistic pattern matching framework; Computational modeling; Data models; Educational institutions; Information retrieval; Neural networks; Pattern matching; Probabilistic logic; heterogeneous; information retrieval; neural network; pattern matching; probabilistic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems and Informatics (ICSAI), 2012 International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4673-0198-5
Type :
conf
DOI :
10.1109/ICSAI.2012.6223592
Filename :
6223592
Link To Document :
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