Intelligent Synoptic Discovery and Semantic Annotation of Ubiquitous Library Literature

Abstract

Key to all academic ventures and scholastic exploits is bibliographic reference. Traditionally however, the eager student has been burdened by the significant toll involved in researching for referential content. Volumes not available in the local physical libraries, have to be searched for online. Textrelated indexes are abstract and terse, often not fully-reflective of the actual backend content, its depth, breadth, and/or knowledge-rending quality. Critical comparison of multiple texts of the same subject area are nearimpossible. This research presents a novel, intelligent technique for semantic evaluation and synoptic discovery in ubiquitous library texts, both physical and online, affording efficacious volume searching, comparison, and optimal selection. This paper is organised into multiple sections. The first section provides an introduction to this research, the second section enunciates the problem statement, the third section states the objectives of this research, the fourth section provides the methodology used to achieve the findings herein, the fifth section asserts the significance of this research, the sixth section provides the results and the discussion, the seventh section asserts the conclusions and recommendations, and the eighth section lists the key references used.