DocumentCode
2313676
Title
A Survey on Web Content Mining and Extraction of Structured and Semistructured Data
Author
Pol, Kshitija ; Patil, Nita ; Patankar, Shreya ; Das, Chhaya
Author_Institution
Datta Meghe Coll. of Eng., Airoli, Mumbai
fYear
2008
fDate
16-18 July 2008
Firstpage
543
Lastpage
546
Abstract
With the research in information retrieval and phenomenal growth of the Web, todaypsilas Websites have become a key communication and information medium for various organizations. It also offers an unprecedented opportunity and challenges to data mining. Various techniques are available to extract useful data from the web. It is very important for the users to utilize this information effectively which helps them to understand the structure of information on the Web more deeply and precisely. This paper conducts a survey of how Web content mining plays an efficient tool in extracting structured and semi structured data and mining them into useful knowledge.
Keywords
Internet; data mining; data structures; feature extraction; information retrieval; Web content mining; Web extraction; data mining; information Retrieval; semistructured data; Content based retrieval; Crawlers; Data engineering; Data mining; Educational institutions; Explosives; Information retrieval; Search engines; Web mining; Web pages; Semi Structured data; Web Content mining; structured data;
fLanguage
English
Publisher
ieee
Conference_Titel
Emerging Trends in Engineering and Technology, 2008. ICETET '08. First International Conference on
Conference_Location
Nagpur, Maharashtra
Print_ISBN
978-0-7695-3267-7
Electronic_ISBN
978-0-7695-3267-7
Type
conf
DOI
10.1109/ICETET.2008.251
Filename
4579960
Link To Document