scholarly journals Academic Conference Categorization According to Subjects Using Topical Information Extraction from Conference Websites

2017 ◽  
Vol 22 (2) ◽  
pp. 61-77
Author(s):  
Sue Kyoung Lee ◽  
Kwanho Kim
Keyword(s):  
Information Extraction ◽  
Academic Conference ◽  
Topical Information

Control over spatial representation format enhances information extraction but prevents long-term learning.

2020 ◽  
Vol 112 (1) ◽  
pp. 148-165
Author(s):  
Julia Moritz ◽  
Hauke S. Meyerhoff ◽  
Stephan Schwan
Keyword(s):  
Information Extraction ◽  
Spatial Representation

A FRAME WORK FOR WEB INFORMATION EXTRACTION AND ANALYSIS

2013 ◽  
Vol 7 (2) ◽  
pp. 574-579 ◽  
Author(s):  
Dr Sunitha Abburu ◽  
G. Suresh Babu
Keyword(s):  
Information Extraction ◽  
Data Extraction ◽  
Research Work ◽  
Web Pages ◽  
Web Documents ◽  
E Learning ◽  
Structured Information ◽  
Frame Work ◽  
Effective Decision ◽  
The Web

Day by day the volume of information availability in the web is growing significantly. There are several data structures for information available in the web such as structured, semi-structured and unstructured. Majority of information in the web is presented in web pages. The information presented in web pages is semi-structured.  But the information required for a context are scattered in different web documents. It is difficult to analyze the large volumes of semi-structured information presented in the web pages and to make decisions based on the analysis. The current research work proposed a frame work for a system that extracts information from various sources and prepares reports based on the knowledge built from the analysis. This simplifies  data extraction, data consolidation, data analysis and decision making based on the information presented in the web pages.The proposed frame work integrates web crawling, information extraction and data mining technologies for better information analysis that helps in effective decision making.   It enables people and organizations to extract information from various sourses of web and to make an effective analysis on the extracted data for effective decision making.  The proposed frame work is applicable for any application domain. Manufacturing,sales,tourisum,e-learning are various application to menction few.The frame work is implemetnted and tested for the effectiveness of the proposed system and the results are promising.

Drug discovery through information extraction technology

2002 ◽  
Author(s):  
Lois C. Childs ◽  
Carl E. Weir ◽  
Robin McEntire ◽  
Paula Matuszek ◽  
James Butler ◽  
...  
Keyword(s):  
Drug Discovery ◽  
Information Extraction ◽  
Extraction Technology
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