Data Consistency Management in an Open Smart Home Management Platform

Song, Jie; Sierra, Silvia Calatrava; Rodríguez, J. C.; Perandones, Jorge M.; Campo, Guillermo del; Bujan, Jorge Olloqui; García, Rocío Martínez; Galdon, Asuncion Santamaria

doi:10.1109/ems.2014.51

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…The first project implemented on the basis of the platform was about smart residence monitoring. Later, with more practical implementation for projects [107], BATOnt was expanded to cover a wider range of domains, from the level of smart buildings to smart cities. Meanwhile, three predefined enumerations have been defined in BATOnt to achieve a better agreement among the developers.…”

Section: Creation Of Batontmentioning

confidence: 99%

A Semantic Implementation for Data Management in an Open Building Automation Platform

Song¹

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Six years ago, I wanted to give myself some challenges and decided to come to Spain for PhD study. The beginning was hard, either in the sense of language or research. I have to say that I am really lucky that I have met lots of good people who have helped me a lot. I would like to give my sincere thanks to all my colleagues from CeDInt, the classmates and professors from UPM, the colleagues from ETH Zurich and my friends who have been always supporting me. First, I would like to give my special thank to my supervisor Asun, for providing me the opportunity to work at CeDInt and all the help during the preparation of this thesis. Second, I would like to give my thanks to all the people of CeDInt, I remember all the help that you have given me, six years have been quite a long time, or better to say, eight years, since my first time here. Thanks for

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Section: Creation Of Batontmentioning

confidence: 99%

A Semantic Implementation for Data Management in an Open Building Automation Platform

Song¹

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Consistency of Open Data as Prerequisite for Usability in Agriculture

Vostrovský

Tyrychtr

2018

Scientia Agriculturae Bohemica

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Benefits of open data are diverse and range from improved efficiency of public administrations, economic growth in the private sector. Agriculture is also an inseparable part of the private sector. These data can stimulate economic growth. Economy can benefit from an easier access to information, content and knowledge in turn contributing to the development of innovative services and creation of new business models (European Data Portal, 2016). The prerequisite of this stimulation is consistency of open data. Both of these features have to be a part of these data quality. However, this aspect of open data quality has not yet been satisfactorily resolved in the framework of international standardization of quality (Systems and Software Quality Requirements and Evaluation (SQuaRE)). The issue of possible evaluation of open data consistency in agriculture is discussed. Results suggest that open data consistency may be achieved by consistent application of the technique of data normalization of relevant data sets. Consistent application of data normalization technique of open data sets can reduce the risk of inconsistency of the open data. That is the only way to guarantee that the open data will be the benefit to private sector.

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Data Consistency Management in an Open Smart Home Management Platform

Cited by 2 publications

References 6 publications

A Semantic Implementation for Data Management in an Open Building Automation Platform

A Semantic Implementation for Data Management in an Open Building Automation Platform

Consistency of Open Data as Prerequisite for Usability in Agriculture

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