An Approach for Ontology Population Based on Information Extraction Techniques

2015 ◽  
pp. 397-404 ◽  
Author(s):  
Riyadh Benammar ◽  
Alain Trémeau ◽  
Pierre Maret
Keyword(s):  
Information Extraction ◽  
Population Based ◽  
Extraction Techniques ◽  
Ontology Population

scholarly journals Extraction of Meaningful Information from the Web: a Brief Survey

2018 ◽  
Vol 7 (4.19) ◽  
pp. 1041
Author(s):  
Santosh V. Chobe ◽  
Dr. Shirish S. Sane
Keyword(s):  
Information Extraction ◽  
Relevant Information ◽  
Unstructured Data ◽  
Web Pages ◽  
Extraction Techniques ◽  
Web Documents ◽  
Meaningful Information ◽  
The Web

There is an explosive growth of information on Internet that makes extraction of relevant data from various sources, a difficult task for its users. Therefore, to transform the Web pages into databases, Information Extraction (IE) systems are needed. Relevant information in Web documents can be extracted using information extraction and presented in a structured format.By applying information extraction techniques, information can be extracted from structured, semi-structured, and unstructured data. This paper presents some of the major information extraction tools. Here, advantages and limitations of the tools are discussed from a user’s perspective.  

scholarly journals Comparing information extraction techniques for low-prevalence concepts: The case of insulin rejection by patients

2019 ◽  
Vol 99 ◽  
pp. 103306
Author(s):  
Shervin Malmasi ◽  
Wendong Ge ◽  
Naoshi Hosomura ◽  
Alexander Turchin
Keyword(s):  
Information Extraction ◽  
Extraction Techniques ◽  
Low Prevalence
Sign in / Sign up

Export Citation Format

Share Document