A Task Based model for Récit Generation from Sensor Data: An Early Experiment
نویسندگان
چکیده
Automatic story generation is the subject of a growing research effort. However, in this domain, stories are generally produced from fictional data. In this paper, we present a task model used for automatic story generation from real data focusing on the narrative planning. The aim is to generate récits (stories) from sensors data acquired during a ski sortie. The model and some preliminary analysis are presented which suggest the interest of the approach. 1998 ACM Subject Classification I.2.7 Natural Language Processing: Language generation, I.2 Artificial Intelligence:Knowledge Representation Formalisms and Methods
منابع مشابه
Generating Récit from Sensor Data: Evaluation of a Task Model for Story Planning and Preliminary Experiments with GPS Data
Automatic story generation is the subject of a growing research effort which has mainly focused on fictional stories. In this paper, we present some preliminary work to generate récits (stories) from sensors data acquired during a ski sortie. In this approach, the story planning is performed using a task model that represents domain knowledge and sequential constraints between ski activities. T...
متن کاملAutomatic Generation of a Multi Agent System for Crisis Management by a Model Driven Approach
Considering the increasing occurrences of unexpected events and the need for pre-crisis planning in order to reduce risks and losses, modeling instant response environments is needed more than ever. Modeling may lead to more careful planning for crisis-response operations, such as team formation, task assignment, and doing the task by teams. A common challenge in this way is that the model shou...
متن کاملA Sensor-Based Scheme for Activity Recognition in Smart Homes using Dempster-Shafer Theory of Evidence
This paper proposes a scheme for activity recognition in sensor based smart homes using Dempster-Shafer theory of evidence. In this work, opinion owners and their belief masses are constructed from sensors and employed in a single-layered inference architecture. The belief masses are calculated using beta probability distribution function. The frames of opinion owners are derived automatically ...
متن کاملOnline Monitoring for Industrial Processes Quality Control Using Time Varying Parameter Model
A novel data-driven soft sensor is designed for online product quality prediction and control performance modification in industrial units. A combined approach of time variable parameter (TVP) model, dynamic auto regressive exogenous variable (DARX) algorithm, nonlinear correlation analysis and criterion-based elimination method is introduced in this work. The soft sensor performance validation...
متن کاملToward an energy efficient PKC-based key management system for wireless sensor networks
Due to wireless nature and hostile environment, providing of security is a critical and vital task in wireless sensor networks (WSNs). It is known that key management is an integral part of a secure network. Unfortunately, in most of the previous methods, security is compromised in favor of reducing energy consumption. Consequently, they lack perfect resilience and are not fit for applications ...
متن کامل