W-Tree: A Concept Correlation Tree for Data Analysis and Annotations

As human beings develop and study new topics to understand and conceptualize their surroundings, the need for records and documentation arises. The internet in recent times has proven to be one of the significant contributors to this philosophy. With abundant data presented to the user online, it naturally prompts the user with W-questions. The what, when, who, which, where, and other W-questions stand as an inspiration to build a W-Tree. W-Tree is one such record book that stores such a large amount of data and provides the additional functionality of linking related topics and studying the relationship between various topics. By providing related topics to a specific concept, W-Tree’s aim is for the users to learn and understand the topic in connection and correlation with other concepts. Knowing all the topics related to the one in focus and its origin helps the user understand the specifics related to that and the domain in general. W-Tree also provides the user with the feature of annotations for each article in a three-tuple format. The paper presents the analysis of W-tree over five prominent domains analyzed on the Wikipedia data.