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Ingrid Tchilibou:

A WordNet based backend for the Interactive Concept Validation (ICV)

Requirements

  • General Programming Language (Python, Java, etc)
  • Basic Knowledge in Data Analysis
Academic Advisor
Discipline
Software Engineering, Data Analysis
Degree
Bachelor of Science (B.Sc.)

Contents

Context

  • Understanding Ideas in Large Scale Ideation
  • Ideas to Market

Problem

Wikidata and Dbpedia provide noise concept mappings, because they are created by crowdsourcing. In contrast, wordnet is created by experts. This could potentially lead to better hierarchies of concepts, potentially useful for the algorithmic analysis of idea texts.

Objectives

  • Implement a wordnet backend for the ICV approach.
  • Annotate ideas with wordnet synsets
  • Analyse the extracted hypernyms as a mechanism for idea analysis.

References

Mackeprang, Maximilian, Claudia Müller-Birn, and Maximilian Timo Stauss. "Discovering the Sweet Spot of Human-Computer Configurations: A Case Study in Information Extraction." Proceedings of the ACM on Human-Computer Interaction 3.CSCW (2019): 1-30.

Daniel Ringler and Heiko Paulheim. One knowledge graph to rule them all? analyzing the differences between dbpedia, yago, wikidata & co. In Joint German/Austrian Conference on Artificial Intelligence (Künstliche Intelligenz), pages 366–372. Springer, 2017.

Miller, G. A. (1995). WordNet: a lexical database for English. Communications of the ACM, 38(11), 39-41.