Exploiting Semantic Annotations and Q-Learning for Constructing an Efficient HierarchyGraph Texts Organization
Joint Authors
El-Said, Asmaa M.
Eldesoky, Ali I.
Arafat, Hesham A.
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-01-01
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Tremendous growth in the number of textual documents has produced daily requirements for effective development to explore, analyze, and discover knowledge from these textual documents.
Conventional text mining and managing systems mainly use the presence or absence of key words to discover and analyze useful information from textual documents.
However, simple word counts and frequency distributions of term appearances do not capture the meaning behind the words, which results in limiting the ability to mine the texts.
This paper proposes an efficient methodology for constructing hierarchy/graph-based texts organization and representation scheme based on semantic annotation and Q-learning.
This methodology is based on semantic notions to represent the text in documents, to infer unknown dependencies and relationships among concepts in a text, to measure the relatedness between text documents, and to apply mining processes using the representation and the relatedness measure.
The representation scheme reflects the existing relationships among concepts and facilitates accurate relatedness measurements that result in a better mining performance.
An extensive experimental evaluation is conducted on real datasets from various domains, indicating the importance of the proposed approach.
American Psychological Association (APA)
El-Said, Asmaa M.& Eldesoky, Ali I.& Arafat, Hesham A.. 2015. Exploiting Semantic Annotations and Q-Learning for Constructing an Efficient HierarchyGraph Texts Organization. The Scientific World Journal،Vol. 2015, no. 2015, pp.1-19.
https://search.emarefa.net/detail/BIM-1078485
Modern Language Association (MLA)
El-Said, Asmaa M.…[et al.]. Exploiting Semantic Annotations and Q-Learning for Constructing an Efficient HierarchyGraph Texts Organization. The Scientific World Journal No. 2015 (2015), pp.1-19.
https://search.emarefa.net/detail/BIM-1078485
American Medical Association (AMA)
El-Said, Asmaa M.& Eldesoky, Ali I.& Arafat, Hesham A.. Exploiting Semantic Annotations and Q-Learning for Constructing an Efficient HierarchyGraph Texts Organization. The Scientific World Journal. 2015. Vol. 2015, no. 2015, pp.1-19.
https://search.emarefa.net/detail/BIM-1078485
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1078485