The rise of the (modelling) bots: Towards assisted modelling via social networks
Abstract:
We are witnessing a rising role of mobile computing and social networks to perform all sorts of tasks. This way, social networks like Twitter or Telegram are used for leisure, and they frequently serve as a discussion media for work-related activities. In this paper, we propose taking advantage of social networks to enable the collaborative creation of models by groups of users. The process is assisted by modelling bots that orchestrate the collaboration and interpret the users' inputs (in natural language) to incrementally build a (meta-)model. The advantages of this modelling approach include ubiquity of use, automation, assistance, natural user interaction, traceability of design decisions, possibility to incorporate coordination protocols, and seamless integration with the user's normal daily usage of social networks. We present a prototype implementation called SOCIO, able to work over several social networks like Twitter and Telegram, and a preliminary evaluation showing promising results.
Año de publicación:
2017
Keywords:
- Natural Language processing
- SOCIAL NETWORKS
- Meta-Modelling
- Collaborative modelling
Fuente:

Tipo de documento:
Conference Object
Estado:
Acceso restringido
Áreas de conocimiento:
- Análisis de redes sociales
- Red social
- Ciencias de la computación
Áreas temáticas de Dewey:
- Funcionamiento de bibliotecas y archivos
- Interacción social
- Dirección general