%0 Conference Proceedings
%T Modelling of Things on the Internet for the Search by the Human Brain
%+ Universidade de Lisboa = University of Lisbon (ULISBOA)
%+ Universidade Nova de Lisboa = NOVA University Lisbon (NOVA)
%A Luis-Ferreira, Fernando
%A Jardim-Gonçalves, Ricardo
%Z Part 4: Intelligent Computational Systems
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 4th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS)
%C Costa de Caparica, Portugal
%Y Luis M. Camarinha-Matos
%Y Slavisa Tomic
%Y Paula Graça
%I Springer
%3 Technological Innovation for the Internet of Things
%V AICT-394
%P 71-79
%8 2013-04-15
%D 2013
%R 10.1007/978-3-642-37291-9_8
%K Knowledge Management
%K Neuroscience
%K Sensation and Perception
%K Internet of Things
%K Interoperability
%Z Computer Science [cs]Conference papers
%X The Internet has become the main source of information for business and research activities. Despite the value of libraries supported by computational cataloging, there are far more opportunities to retrieve information on the Internet than in paper books. However, when we seek the Internet we get essentially chunks of text with titles and descriptors resulting from search engine’s activity. Albeit some information may contain sensorial or emotional contents, the search results come essentially from algorithmic execution over keywords by relevance. Our brain retrieves information about things in real world by capturing sensorial information and storing it with emotional experience. We can question why things in Internet are not represented in a similar way to human brain. The present research aims to support a new type of search by sensations and emotions in a path to model Things in Internet towards a human-like representation of objects and events, based on lessons learned from the human brain.
%G English
%Z TC 5
%Z WG 5.5
%2 https://hal.science/hal-01348737/document
%2 https://hal.science/hal-01348737/file/978-3-642-37291-9_8_Chapter.pdf
%L hal-01348737
%U https://hal.science/hal-01348737
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-WG
%~ IFIP-WG5-5
%~ IFIP-DOCEIS
%~ IFIP-AICT-394