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

Novo artigo: A systematic mapping on adaptive recommender approaches for ubiquitous environments

 

Computing

pp 1–27

  • Guilherme M. Machado
  • Vinicius Maran
  • Lorayne P. Dornelles
  • Isabela Gasparini
  • Lucinéia H. Thom
  • José Palazzo M. de Oliveira

Article: DOI: 10.1007/s00607-017-0572-7

Abstract

Recommender systems were first conceived to provide suggestions of interesting items to users. The evolution of such systems provided an understanding that a recommender system is currently used to diverse objectives. One of the current challenges in the field is to have approaches of recommendation that go beyond accuracy metrics. Since it is a very recent interest of the community, this review, also characterized as an exploratory search, provides an overview of the techniques in the area that tries to look beyond accuracy. More specifically, one of the characteristics that would provide such evolution to these systems is the adaptation. This review is then performed to find the existence and characteristics of such approaches. Of the total 438 papers returned in the submission of the search string, 57 papers were analyzed after two filtering processes. The papers have shown that the area is little explored and one of the reasons is the challenge to validate non-accuracy characteristics in such approaches.

Keywords

Systematic mapping Recommender systems (RS) Adaptive systems (AS) Ubiquitous computing Context awareness 

Mathematics Subject Classification

68-02 68U35 68M99