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Research on Information Extraction Method for Retrieval Result Pages of OA Journals

Author: ZhangJing
Tutor: ZhangFuZhi
School: Yanshan University
Course: Applied Computer Technology
Keywords: OA journals Data area Page segmentation Data recording Semantic recognition
CLC: TP393.092
Type: Master's thesis
Year: 2010
Downloads: 19
Quote: 0
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Abstract


At present, many of the Internet 's open access ( Open Access , OA ) journals rapidly increasing \Way to solve the problem is the different open access journal retrieval services to be integrated, to create a virtual digital resources in order to achieve rapid sharing of resources , and of OA journals search results page information extraction is one of the key steps . This paper studies the OA journal of the search results page information extraction method , the specific content of the study are as follows . First , the existing data area positioning method is not accurate enough and can not be applied on the search results page positioning on the journal website , by analyzing the difference of the the Journal website search results page in the data area and the non-data area , based on statistical data area positioning algorithm, and gives the algorithm description and implementation of the algorithm is based on page segmentation , positioning data area and then apply statistical methods . Secondly, in order to extract the data area papers , data records into a partitioning algorithm based on clustering data recording , the algorithm by calculating the sub - tree in the display style , data type , marked path structure , adjacent features four aspects of similarity clustering subtree . Data records into data units for data record semantic identification of problems , the the semantic recognition algorithm based on feature similarity data unit , the algorithm through the calculated data unit with the definition of the characteristics of the semantic string similarity semantic recognition . Finally, experimental verification and analysis of experiments on the proposed algorithm precision and recall rate , and this algorithm is applied to the actual project .

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