Keyword Suggestion Using Conceptual Graph Construction from Wikipedia Rich Documents

Keyword Suggestion Using Conceptual Graph Construction from Wikipedia Rich Documents - scientific work related to Wikipedia quality published in 2008, written by Hadi Amiri, Abolfazl AleAhmad, Masoud Rahgozar and Farhad Oroumchian.

Overview

Conceptual graph is a graph in which nodes are concepts and the edges indicate the relationship between them. Creation of conceptual graphs is a hot topic in the area of knowledge discovery. Natural Language Processing (NLP) based conceptual graph creation is one of the efficient but costly methods in the field of information extraction. Compared to NLP based methods, Statistical methods have two advantages, namely, they are language independent and more computationally efficient. In this paper authors present an efficient statistical method for creating a conceptual graph from a large document collection. The documents which are used in this paper are from Wikipedia collection because of their rich and valid content. Moreover, authors use the final conceptual graph to suggest a list of similar keywords for each unique concept or combination of concepts. Also, authors will show the viability of approach by comparing its result to a similar system called the Wordy system.