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2020 Theses

Milanov, Emil: An alternative confusion matrix visualization for PreCall

Discipline
Interactive Information Visualization, Software Engineering, User Interfaces for Machine Learning Systems
Degree
Bachelor of Science (B.Sc.)

Handa, Anupam: Designing Interface Layouts for Data Visualisations on Multitouch-Displays

Academic Advisor
Discipline
Computer Science
Degree
Bachelor of Science (B.Sc.)

Kern, Kim: Ideator Types in Electronic Brainstorming

Academic Advisor
Discipline
Computer Supported Cooperative Work, Collaborative Ideation, Electronic Brainstorming
Degree
Master of Science (M.Sc.)

Stärk, Luka: Semantic Similarity of Concepts for a Human-Centered Idea Recommendation Feature in the Clustering Application Orchard

Academic Advisor
Discipline
Ideation, Human-Computer Interaction, Semantic Similarity, Knowledge Graphs
Degree
Bachelor of Science (B.Sc.)

Moog, Dominik Schlomo: Spam detection in crowdsourced ideation

Academic Advisor
Discipline
Crowdsourcing, Software Development
Degree
Bachelor of Science (B.Sc.)

Bayram, Ömer: Visualization of Linked Data Entities

Academic Advisor
Discipline
Web Development, User Interface Design, Interaction Design, Usability, Human Computer Interaction, Linked Data
Degree
Master of Science (M.Sc.)

Tchilibou, Ingrid: A WordNet based backend for the Interactive Concept Validation (ICV)

Academic Advisor
Discipline
Software Engineering, Data Analysis
Degree
Bachelor of Science (B.Sc.)
Date
Mar 09, 2020
Language
ger/deu

Summarizing and categorizing a large quantity of ideas to generate new and interesting ideas is a promising process, also called idea synthesis. However, the collected ideas are usually very extensive, which takes a lot of time when categorizing them manually. A Software could help analysts to oversee large quantities in order to categorize faster and better synthesize new ideas. This thesis deals with the question on whether WordNet hypernyms are helpful in categorizing a group of ideas. To use WordNet hypernyms it is necessary to first annotate the ideas with the meaning (synset) of each word contained in an idea (so-called Word-Sense-Disambiguation). For this purpose, a WordNet connection for the existing ICV (Interactive Concept Validation) tool was implemented in this thesis. Furthermore, several possibilities of categorization were implemented and tested in an expert interview. The interview showed that hypernyms cannot be considered in terms of the amount of ideas that are grouped as categories. On the other hand, the interview showed that hypernyms can help in giving an orientation on the main context in the ideas. These observations provide a base for the further development and improvement of WordNet-based categorization approaches.