Title
Basics of Concepts Representation for Document Summarization
Abstract
This Paper presents three different ways to describe the notion concept. The first one uses the idea of hierarchy and employs a graph to define the connections between attributes and concepts. To enable concepts generation, manipulation or measurement a matrix model is developed. Thus, the entire space of terms could be generated by a set of (linearly) independent terms over a numerical field. The total number of concepts to be generated over a numerical field using a given number of attributes is estimated in this paper. A memory efficient spherical presentation is developed on the above models. An algorithmic implementation of Hierarchy of concepts and attributes (HAC) is developed and experimental results are presented using concepts from the field of education.
Year
DOI
Venue
2009
10.1109/NCM.2009.255
NCM
Keywords
Field
DocType
different way,algorithmic implementation,concepts generation,concepts representation,document summarization,memory efficient spherical presentation,total number,matrix model,entire space,independent term,numerical field,information retrieval,graph theory,artificial neural networks,dictionaries,graph,hierarchy,clustering algorithms,data mining,feature extraction,natural language processing,databases,matrix,text analysis
Graph theory,Computer science,Matrix (mathematics),Feature extraction,Theoretical computer science,Document summarization,Artificial intelligence,Artificial neural network,Cluster analysis,Hierarchy,Vocabulary
Conference
Citations 
PageRank 
References 
0
0.34
9
Authors
4
Name
Order
Citations
PageRank
Sang Suh1228.88
S. I. Saffer200.34
S. G. Anaparthi300.34
Nikolay Metodiev Sirakov4789.07