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Semantic Annotation for Enhancing Collaborative Ideation

Khiat, Abderrahmane; Mackeprang, Maximilian; Müller-Birn, Claudia – 2017

Enhancing creativity has been paid a lot of attention recently, especially with the emergence of online collaborative ideation. Prior work has shown that, in addition to the exposure of diverse and creative examples, visualising the solution space enables ideators to be inspired and, thus, arrive at more creative ideas. However, existing automated approaches which assess the diversity of a set of examples fail on unstructured short text due to their reliance on similarity computation. Furthermore, the conceptual divergence cannot be easily captured for such representations. This research in progress introduces an approach based on semantic annotation to overcome these issues. The solution proposed formalizes user ideas into a set of annotated concepts and a matching mechanism is then used to compute the similarity between users' ideas. We aim also to create a visualisation of the solution space based on the similarity matrix obtained by a matching process between all ideas.

Title
Semantic Annotation for Enhancing Collaborative Ideation
Author
Khiat, Abderrahmane; Mackeprang, Maximilian; Müller-Birn, Claudia
Publisher
ACM
Location
Amsterdam
Keywords
I2M
Date
2017
Identifier
10.1145/3132218.3132235
Source(s)
Appeared in
Proceedings of the 13th International Conference on Semantic Systems
Type
Text
BibTeX Code
rt Citations

@inproceedings{2017_khiat_semantic,
author = {Khiat, Abderrahmane and Mackeprang, Maximilian and M\"{u}ller-Birn, Claudia},
title = {Semantic Annotation for Enhancing Collaborative Ideation},
year = {2017},
isbn = {9781450352963},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3132218.3132235},
doi = {10.1145/3132218.3132235},
booktitle = {Proceedings of the 13th International Conference on Semantic Systems},
pages = {173–176},
numpages = {4},
keywords = {Ontology, Semantic Annotation, Collaborative Ideation, Matching},
location = {Amsterdam, Netherlands},
series = {Semantics2017}
}