Novo artigo: Probabilistic Ontology Reasoning in Ambient Assistance: Predicting Human Actions

Probabilistic Ontology Reasoning in Ambient Assistance: Predicting Human Actions

 

Abstract:

Providing reminders to elderly people in their home environment, while they perform their daily activities, is considered as a user support activity, and thus a relevant topic in Active and Assisted Living (AAL) research and development. Determining such reminders implies decision-making, since the actions’ flow (behavior) usually involves probabilistic branches. An automated system needs to decide which of the next actions is the best one for the user in a given situation. Problems of this nature involve uncertainty levels that have to be dealt with. Many approaches to this problem exploit statistical data only, thus ignoring important semantic data as, for instance, are provided by Ontologies. However, ontologies do not support reasoning over uncertainty natively. In this paper, we present a probabilistic semantic model that enables reasoning over uncertainty without losing semantic information. This model will be exemplified by an extension of the Human Behavior Monitoring and Support [HBMS] approach that provides a conceptual model for representing the user’s behavior and its context in her/his living environment. The performance of this approach was evaluated using real data collected from a smart home prototype equipped with sensors. The experiments provided promising results which we will discuss regarding limits and challenges to overcome.
Authors: Gabriel Machado Lunardi ; Guilherme Medeiros Machado ; Fadi Al Machot ; Vinícius Maran ; Alencar Machado ; Heinrich C. Mayr ; Vladimir A. Shekhovtsov ; José Palazzo M. de Oliveira
Date of Conference: 16-18 May 2018
Date Added to IEEE Xplore13 August 2018
Electronic ISSN: 2332-5658
Publisher: IEEE
Conference Location: Krakow, Poland, Poland

Novo artigo: Domain content querying using ontology-based context-awareness in information systems

Domain content querying using ontology-based context-awareness in information systems

Abstract

Ubiquitous computing technologies have been applied in several areas. However, it still presents a number of challenges, both for the full implementation of technologies and for the integration with existing information systems. One of the main mismatches evidenced by recent works is how context-awareness, a widely used capability in ubiquitous computing and actual information systems with relational databases may be integrated to allow ubiquitous and traditional systems to query relational data sources without the necessity to modify the schema of the database. This paper presents an integration model relating context and domain information allowing relational data to be retrieved in context without the necessity to change the originally used relational queries. A set of linking rules and algorithms are formalized in a model and this model is implemented in a prototype. The evaluation of the model is performed by applying it in a case study in a Massive Open Online Course (MOOC) platform. The evaluation of the model by the application of it in a case study in a MOOC platform demonstrated the possibility to use an ontology frequently used in ubiquitous middleware as an extra filtering layer for information systems without the necessity to recreate queries or make a re-engineering in the relational database schema. The results of the queries after the application of the model showed an average decrease of 21% in returned tuples, which was evaluated as a significant reduce in tuple results.

Keywords

  • Ontology;
  • Context-awareness;
  • Information systems;
  • Ubiquitous computing

Novo artigo: UPCaD: A Methodology of Integration Between Ontology-Based Context-Awareness Modeling and Relational Domain Data

Information 2018, 9(2), 30; doi:10.3390/info9020030

Vinícius Maran 1,3  Guilherme Medeiros Machado 1, Alencar Machado 2, Iara Augustin 2,  and José Palazzo M. de Oliveira 1

1 Instituto de Informática, Universidade Federal do Rio Grande do Sul, 91540-000 Porto Alegre, Brazil
2 Centro de Tecnologia, Universidade Federal de Santa Maria, 97105-900 Santa Maria, Brazil
3 Coordenadoria Acadêmica, Universidade Federal de Santa Maria, Cachoeira do Sul, Brazil.

Abstract: Context-awareness is a key feature for ubiquitous computing scenarios applications. Currently, technologies and methodologies have been proposed for the integration of context-awareness concepts in intelligent information systems to adapt them to the execution of services, user interfaces and data retrieval. Recent research proposed conceptual modeling alternatives to the integration of the domain modeling in RDBMS and context-awareness modeling. The research described using highly expressiveness ontologies. The present work describes the UPCaD (Unified Process for Integration between Context-Awareness and Domain) methodology, which is composed of formalisms and processes to guide the data integration considering RDBMS and context modeling. The methodology was evaluated in a virtual learning environment application. The evaluation shows the possibility to use a highly expressive context ontology to filter the relational data query and discusses the main contributions of the methodology compared with recent approaches. 

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Keywords: context-awareness; data query; relational database; linking rules; methodology

A Mente Organizada {Daniel J. Levitin} 2014

 


Capa de A Mente Organizada

Poderia a boa e velha organização ser o segredo fundamental para se navegar no mar de informações do mundo moderno? Enquanto notícias, textos, contas e aplicativos invadem nosso cotidiano, espera-se que tomemos rapidamente decisões cada vez maiores. Em capítulos instigantes sobre temas que vão desde a gaveta bagunçada da cozinha até cuidados com a saúde, David Levitin apresenta avanços recentes nos estudos sobre o cérebro e mostra métodos que podemos aplicar no dia a dia para adquirir uma sensação de controle sobre a maneira como organizamos nossos lares, nossos ambientes de trabalho e nossas vidas. Google

Este livro é uma leitura obrigatória para todos os que trabalham e vivem no  mundo moderno hiper-ligado. Aconselho principalmente para os estudantes de mestrado e doutorado, o autor é um neurocientista com h-index de 43. O livro trata da necessidade de organização mental para tratar o fluxo gigantesco de informação atualmente disponível. A parte inicial discute a classificação e identificação de conceitos, é uma contribuição muito importante para entender os conceitos de Modelagem Conceitual e Ontologias. A seguir analisa formas de comportamento e sua correspondência com funções cerebrais. Uma parte importante é a apresentação clara da necessidade de termos um espírito crítico e como transmitir isto para nosso filhos. O livro orienta a forma de nos organizarmos, não como banal auto-ajuda mas de uma forma cientificamente embasada. O livro é auto-contido , mas um conhecimento básico de fisiologia torna a sua leitura muito mais produtiva. Mesmo sem este conhecimento a aplicação na vida real dos conhecimentos adquiridos com esta leitura fará uma grande diferença em sua produtividade.