VSDR: Visualization of semantic data representation for information search over semantic web

• Main Authors: N. Kanjanakuha, C. Techawut, R. Sukhahuta, P. Janecek
• Format: Journal
• Published: 2018
• Subjects: Computer Science; Decision Sciences; Agricultural and Biological Sciences; Arts and Humanities
• Online Access: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85035075956&origin=inward; http://cmuir.cmu.ac.th/jspui/handle/6653943832/43603
• Institution: Chiang Mai University

Many semantic searching tools for encyclopedia searching are presently available on the Internet. Most of them display results based on some textual representations. Some visual representations are rarely found by having visual interfaces mirroring link data structure from any sources. However, they hardly interact with a large number of searching results on a screen because of some complicated filtering tools and results unrelated to user requirements. This paper presents Visualization of Semantic Data Representation (VSDR) as a framework for displaying a 3-layer approach based on the hyperbolic tree model. It helps users to mainly focus on a linked data structure that hides some complex query scenarios from users occurring while searching through a semantic web. It can also leverage some difficulties of user's exploration, perception, and interpretation with direct manipulation. The prototype of VSDR is constructed and evaluated by means of user experiment in order to assess overall usability of the proposed 3-layer approach based on the hyperbolic tree model, and the relevance between results and user requirements.