ISSN : 2319-7323

INTERNATIONAL JOURNAL OF COMPUTER SCIENCE ENGINEERING

ABSTRACT

Title	:	Concept hierarchy extraction from textbook
Authors	:	Neha Pathak, Pragya Shukla, Nilima Karankar
Keywords	:	Data Mining;Semantic Annotation; Word Sense Disambiguation
Issue Date	:	Aug 2017
Abstract	:	In modern day scenario, it is observed that the content available on Internet is in very large amount. Any single search will result in millions of results, thus the user faces the issues like which content to choose and which one to not. One of the classification in data mining is content hierarchy, which can be defined as the extraction of content in logical and related manner. The key focus of content hierarchy is extraction of knowledge from the data in order to derive the pattern. In order to perform the extraction, the quality and content is observed and should be present in relevant manner. In this work, the relevant content is first extracted and saved in the prerequisite, after it the next content which is highly relevant to the already saved data,stored in the form of hierarchy. The two concepts on which concept hierarchy is based, are local relatedness and global coherence. The application of the given system can be open educational system in which students and researchers will get the desired content. The current work lessen the burden of a reader by decreasing the entire book into the specified hierarchy and thus can be very much beneficial.
Page(s)	:	199-204
ISSN	:	2319-7323
Source	:	Vol. 6, No.8