TY - CHAP
T1 - im4Things: An Ontology-Based Natural Language Interface for Controlling Devices in the Internet of Things
AU - Noguera-Arnaldos, José Ángel
AU - Paredes-Valverde, Mario Andrés
AU - Salas-Zárate, María Pilar
AU - Rodriguez-Garcia, Miguel Angel
AU - Valencia-García, Rafael
AU - Ochoa, José Luis
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: María Pilar Salas-Zárate and Mario Andrés Paredes-Valverde are supported by the National Council of Science and Technology (CONACyT) and the Mexican government.
PY - 2017/3/15
Y1 - 2017/3/15
N2 - The Internet of Things (IoT) offers opportunities for new applications and services that enable users to access and control their working and home environment from local and remote locations, aiming to perform daily life activities in an easy way. However, the IoT also introduces new challenges, some of which arise from the large range of devices currently available and the heterogeneous interfaces provided for their control. The control and management of this variety of devices and interfaces represent a new challenge for non-expert users, instead of making their life easier. Based on this understanding, in this work we present a natural language interface for the IoT, which takes advantage of Semantic Web technologies to allow non-expert users to control their home environment through an instant messaging application in an easy and intuitive way. We conducted several experiments with a group of end users aiming to evaluate the effectiveness of our approach to control home appliances by means of natural language instructions. The evaluation results proved that without the need for technicalities, the user was able to control the home appliances in an efficient way.
AB - The Internet of Things (IoT) offers opportunities for new applications and services that enable users to access and control their working and home environment from local and remote locations, aiming to perform daily life activities in an easy way. However, the IoT also introduces new challenges, some of which arise from the large range of devices currently available and the heterogeneous interfaces provided for their control. The control and management of this variety of devices and interfaces represent a new challenge for non-expert users, instead of making their life easier. Based on this understanding, in this work we present a natural language interface for the IoT, which takes advantage of Semantic Web technologies to allow non-expert users to control their home environment through an instant messaging application in an easy and intuitive way. We conducted several experiments with a group of end users aiming to evaluate the effectiveness of our approach to control home appliances by means of natural language instructions. The evaluation results proved that without the need for technicalities, the user was able to control the home appliances in an efficient way.
UR - http://hdl.handle.net/10754/623024
UR - http://link.springer.com/chapter/10.1007/978-3-319-51905-0_1
UR - http://www.scopus.com/inward/record.url?scp=85015417812&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-51905-0_1
DO - 10.1007/978-3-319-51905-0_1
M3 - Chapter
SN - 9783319519043
SP - 3
EP - 22
BT - Current Trends on Knowledge-Based Systems
PB - Springer Nature
ER -