Research on Framework Load Correlations Based on Automatic Data Extraction Algorithm

2019 ◽  
pp. 604-613
Author(s):  
Meiwen Hu ◽  
Binjie Wang ◽  
Shouguang Sun
Keyword(s):  
Data Extraction ◽  
Automatic Data ◽  
Extraction Algorithm

Automatic data extraction from 24 hour blood pressure measurement reports of a large multicenter clinical trial

2021 ◽  
pp. 106588
Author(s):  
Janis M Nolde ◽  
Ajmal Mian ◽  
Luca Schlaich ◽  
Justine Chan ◽  
Leslie Marisol Lugo-Gavidia ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Clinical Trial ◽  
Pressure Measurement ◽  
Data Extraction ◽  
Blood Pressure Measurement ◽  
Multicenter Clinical Trial ◽  
Automatic Data

An Approach for Ontology Based Information Extraction

2014 ◽  
Vol 12 (1) ◽  
pp. 15-20 ◽  
Author(s):  
N. Borisova
Keyword(s):  
Information Extraction ◽  
Data Extraction ◽  
Free Software ◽  
Language Resources ◽  
Text Documents ◽  
Automatic Data ◽  
Content Creation ◽  
Pos Tagger ◽  
The Given ◽  
Processing Language

Abstract An approach for Ontology based Information Extraction (OBIE) from unstructured text in the Bulgarian language is presented in this paper. The presented method and algorithm provide a solution for automatic data extraction from text documents exploiting ontologies. To this end, in addition to the standard tools for processing language resources in an open source free software, a dictionary-based lemmatizer for Bulgarian has been developed and integrated. It is distributed as free software, publicly available to download and use under the GPL v3 license. Due to the specifics of inflection in Bulgarian the developed tools for lemmatization will contribute to improving the results of the POS tagger. This approach will offer opportunities for developing a dynamically created gazetteer that is, in combination with a few other generic GATE resources, capable of producing ontologybased annotations over the given content with regards to the given ontology. This algorithm can also be used in the processes of content creation and management of information and knowledge.

RECOGNITION OF NUMERAL STRINGS ON MAPS

1999 ◽  
Vol 13 (03) ◽  
pp. 319-337 ◽  
Author(s):  
LIANG-HUA CHEN ◽  
JIING-YUH WANG
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Recognition Algorithm ◽  
Data Capture ◽  
Automatic Data ◽  
Cadastral Maps ◽  
Extraction Algorithm ◽  
Complete Procedure ◽  
Feature Based ◽  
Position And Orientation

This paper presents a complete procedure for the extraction and recognition of hand-printed numeral strings on maps. The extraction algorithm can extract individual characters from a map even if the characters touch each other or touch with graphical line. The feature-based recognition algorithm can recognize numeral characters of any size, position and orientation. Our features for discrimination are simple and easily detectable. Experimental results on utility and cadastral maps have shown that the proposed technique is effective in the automatic data capture of geographic information systems.

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