Scalable semantic aware context storage

• Autor(es): Antunes, Mário ; Gomes, Diogo ; Aguiar, Rui
• Data: 2014
• Identificador Persistente: http://hdl.handle.net/10773/12717
• Origem: RIA - Repositório Institucional da Universidade de Aveiro
• Assunto(s): Internet of things; M2M; Context information
• Tipo de Documento: Documento de conferência
• Idioma: Inglês

Descrição

In recent years the Internet has grown by incorporating billions of small devices, collecting real-world information and distributing it though various systems. As the number of such devices grows, it becomes increasingly difficult to manage all these new information sources. Several context representation schemes have tried to standardize this information, however none of them have been widely adopted. Instead of proposing yet another context representation scheme, we discuss an efficient way to deal with this diversity of representation schemes. We define the basic requirements for context storage systems, analyse context organizations models and propose a new context storage solution. Our solution implements an organizational model that improves scalability, semantic extraction and minimizes semantic ambiguity.