Date of Award
11-2023
Document Type
Masters Thesis
Degree Name
M.S.
Organizational Unit
Daniel Felix Ritchie School of Engineering and Computer Science, Computer Science
First Advisor
Kerstin S. Haring
Second Advisor
Pilyoung Kim
Third Advisor
Chris GauthierDickey
Keywords
Human computer interaction, Search engine, Semantic relations, Temporal relations, Visualizations
Abstract
In today’s digital age, search engines have become indispensable tools for finding information among the corpus of billions of webpages. The standard that most search engines follow is to display search results in a list-based format arranged according to a ranking algorithm. Although this format is good for presenting the most relevant results to users, it fails to represent the underlying relations between different results. These relations, among others, can generally be of either a temporal or semantic nature. A user who wants to explore the results that are connected by those relations would have to make a manual effort to find them and put together a complete picture. Several studies have proposed different forms of visualization that aim to overcome this problem and present search results in a way that adequately highlights these relations. This thesis aims to perform a comparative analysis between traditional list-based representations and visualizations that highlight the temporal and semantic relations within search engine results. A user study conducted using two prototypes encapsulating both visualizations generated results suggesting benefits to visualizing search results emphasizing specific underlying relations.
Copyright Date
11-2023
Copyright Statement / License for Reuse
All Rights Reserved.
Publication Statement
Copyright is held by the author. User is responsible for all copyright compliance.
Rights Holder
Muhammad Shahiq Qureshi
Provenance
Received from ProQuest
File Format
application/pdf
Language
English (eng)
Extent
144 pgs
File Size
8.3 MB
Recommended Citation
Qureshi, Muhammad Shahiq, "Enhancing Search Engine Results: A Comparative Study of Graph and Timeline Visualizations for Semantic and Temporal Relationship Discovery" (2023). Electronic Theses and Dissertations. 2364.
https://digitalcommons.du.edu/etd/2364
Discipline
Computer science
Included in
Graphics and Human Computer Interfaces Commons, Other Computer Sciences Commons, Theory and Algorithms Commons