Representing crowd knowledge: Guidelines for conceptual modeling of user-generated content

R Lukyanenko, J Parsons, Y Wiersma… - Journal of the …, 2017 - aisel.aisnet.org
Organizations' increasing reliance on externally produced information, such as online user-
generated content (UGC) and crowdsourcing, challenges common assumptions about …

Are all classes created equal? Increasing precision of conceptual modeling grammars

R Lukyanenko, BM Samuel - ACM Transactions on Management …, 2017 - dl.acm.org
Recent decade has seen a dramatic change in the information systems landscape that alters
the ways we design and interact with information technologies, including such …

Easier crowdsourcing is better: designing crowdsourcing systems to increase information quality and user participation

R Lukyanenko, J Parsons - Design Science Research. Cases, 2020 - Springer
Crowdsourcing promises to expand organizational knowledge and “sensor” networks
dramatically, making it possible to engage ordinary people in large-scale data collection …

Categorization: A source of theory and output of research

F Niederman, R Lukyanenko - Proceedings of the 2018 ACM SIGMIS …, 2018 - dl.acm.org
In a research community, the use of the concept of category and categorization is
widespread, generally helpful, but sometimes overly constraining. Despite the wealth of …

[PDF][PDF] Inferring Structure for Design: An Inductive Approach to Ontology Generation.

A Castillo, A Castellanos, DE VanderMeer - ER Forum/Posters/Demos, 2019 - ceur-ws.org
We propose an approach for building hierarchical ontology structures based only on a set of
category labels and knowledge of class membership. We illustrate our approach in the …