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SenseQ: Creating relationships between objects to answer questions of humans by using Social Networks

Autor(es) y otros:
Meana Llorián, DanielAutoridad Uniovi; González García, CristianAutoridad Uniovi; García Díaz, VicenteAutoridad Uniovi; Pelayo García-Bustelo, Begoña CristinaAutoridad Uniovi; Cueva Lovelle, Juan ManuelAutoridad Uniovi
Palabra(s) clave:

IoT

Sensors

Twitter

Social Networks

Fecha de publicación:
2016-08-15
Versión del editor:
https://doi.org/10.1145/2955129.2955135
Citación:
Meana-Llorián, D., González García, C., García-Díaz, V., G-Bustelo, B. C. P., & Lovelle, J. M. C. (2016). SenseQ: Creating relationships between objects to answer questions of humans by using Social Networks. Proceedings of the The 3rd Multidisciplinary International Social Networks Conference on SocialInformatics 2016, Data Science 2016 - MISNC, SI, DS 2016, 1–5. https://doi.org/10.1145/2955129.2955135
Resumen:

Social Networks are a source of information very use to know what happen around us. While, the Internet of Things is a world that tries to measure everything by gathering data from sensors and interconnect different objects. Why not combine both? In this paper, we propose the creation of a system that gathers information from users’ sensors, processes it and exposes this information to Social Networks through questions that users ask to the system. Users will be able to ask for data available in distributed sensors using a Social Network and our system will answer to the users also through the Social Network. In order to gather the data from sensors and combine them, we propose three different type of relationship between sensors: neighboring relationship, familiar relationship and work relationship.

Social Networks are a source of information very use to know what happen around us. While, the Internet of Things is a world that tries to measure everything by gathering data from sensors and interconnect different objects. Why not combine both? In this paper, we propose the creation of a system that gathers information from users’ sensors, processes it and exposes this information to Social Networks through questions that users ask to the system. Users will be able to ask for data available in distributed sensors using a Social Network and our system will answer to the users also through the Social Network. In order to gather the data from sensors and combine them, we propose three different type of relationship between sensors: neighboring relationship, familiar relationship and work relationship.

Descripción:

Multidisciplinary International Social Networks Conference on SocialInformatics(3rd. 2016. Union, USA)

URI:
https://hdl.handle.net/10651/77870
ISBN:
9781450341295
DOI:
10.1145/2955129.2955135
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  • Informática [875]
  • Ponencias, Discursos y Conferencias [4231]
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