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Institution

Open University of Catalonia

EducationBarcelona, Spain
About: Open University of Catalonia is a education organization based out in Barcelona, Spain. It is known for research contribution in the topics: Collaborative learning & Educational technology. The organization has 1943 authors who have published 4646 publications receiving 64200 citations. The organization is also known as: Universitat Oberta de Catalunya & UOC.


Papers
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Journal ArticleDOI
01 Apr 2010
TL;DR: ResearchCyc, a version of Cyc that attempts to capture common sense knowledge of the real world, is analyzed and the insights acquired are used to generate suggestions for improving the usability of upper level ontologies.
Abstract: Repositories of knowledge about the real world are intended to serve as surrogates for the meaning and context of terms and concepts. These are being developed at two levels: (1) individual domain ontologies that capture concepts about a particular application domain; and (2) upper level ontologies that contain massive amounts of knowledge about the real world and are domain independent. This paper analyzes ResearchCyc, a version of Cyc, that attempts to capture common sense knowledge of the real world. Experience in applying ResearchCyc to web query processing is reported and the insights acquired are used to generate suggestions for improving the usability of upper level ontologies.

32 citations

Journal ArticleDOI
TL;DR: In this article, the authors advocate the conceptual advantage of a decentralized approach, where both contact and location data are collected exclusively in individual citizens' personal data stores, to be shared separately and selectively (eg, with a backend system, but possibly also with other citizens), voluntarily, only when the citizen has tested positive for COVID-19, and with a privacy preserving level of granularity.
Abstract: The rapid dynamics of COVID-19 calls for quick and effective tracking of virus transmission chains and early detection of outbreaks, especially in the "phase 2" of the pandemic, when lockdown and other restriction measures are progressively withdrawn, in order to avoid or minimize contagion resurgence For this purpose, contact-tracing apps are being proposed for large scale adoption by many countries A centralized approach, where data sensed by the app are all sent to a nation-wide server, raises concerns about citizens' privacy and needlessly strong digital surveillance, thus alerting us to the need to minimize personal data collection and avoiding location tracking We advocate the conceptual advantage of a decentralized approach, where both contact and location data are collected exclusively in individual citizens' "personal data stores", to be shared separately and selectively (eg, with a backend system, but possibly also with other citizens), voluntarily, only when the citizen has tested positive for COVID-19, and with a privacy preserving level of granularity This approach better protects the personal sphere of citizens and affords multiple benefits: it allows for detailed information gathering for infected people in a privacy-preserving fashion; and, in turn this enables both contact tracing, and, the early detection of outbreak hotspots on more finely-granulated geographic scale The decentralized approach is also scalable to large populations, in that only the data of positive patients need be handled at a central level Our recommendation is two-fold First to extend existing decentralized architectures with a light touch, in order to manage the collection of location data locally on the device, and allow the user to share spatio-temporal aggregates-if and when they want and for specific aims-with health authorities, for instance Second, we favour a longer-term pursuit of realizing a Personal Data Store vision, giving users the opportunity to contribute to collective good in the measure they want, enhancing self-awareness, and cultivating collective efforts for rebuilding society

32 citations

Journal ArticleDOI
11 Feb 2021-PLOS ONE
TL;DR: A cross-sectional study based on wave 6 (2015) of the Survey of Health, Ageing and Retirement in Europe (SHARE) was conducted, and community-dwelling participants aged 50+ (n = 63,844) from 17 European countries were selected as discussed by the authors.
Abstract: Aims To estimate the prevalence of multimorbidity among European community-dwelling adults, as well as to analyse the association with gender, age, education, self-rated health, loneliness, quality of life, size of social network, Body Mass Index (BMI) and disability. Methods A cross-sectional study based on wave 6 (2015) of the Survey of Health, Ageing and Retirement in Europe (SHARE) was conducted, and community-dwelling participants aged 50+ (n = 63,844) from 17 European countries were selected. Multimorbidity was defined as presenting two or more health conditions. The independent variables were gender, age group, educational level, self-rated health, loneliness, size of network, quality of life, BMI and disability (1+ limitations of basic activities of daily living). Poisson regression models with robust variance were fit for bivariate and multivariate analysis. Results The prevalence of multimorbidity was 28.2% (confidence interval-CI 95%: 27.5.8-29.0) among men and 34.5% (CI95%: 34.1-35.4) among women. The most common health conditions were cardiometabolic and osteoarticular diseases in both genders, and emotional disorders in younger women. A large variability in the prevalence of multimorbidity in European countries was verified, even between countries of the same region. Conclusions Multimorbidity was associated with sociodemographic and physical characteristics, self-rated health, quality of life and loneliness.

32 citations

Journal ArticleDOI
TL;DR: In this paper, the authors provide an updated review on car-sharing optimization studies (including ride-sharing and carpooling), compares different analytical approaches in this research area, and discusses the emerging concept of "agile" algorithms as one of the approaches that might contribute to deal with the requirements of large-scale and dynamic car sharing optimization problems.

32 citations

Journal ArticleDOI
TL;DR: In this paper, the authors analyze the relationship between the urban development of Hanoi, Vietnam, and water supply including users' perception of water accessibility and satisfaction of coverage, quality, and cost.

31 citations


Authors

Showing all 2008 results

NameH-indexPapersCitations
Andrea Saltelli6518431540
Jose A. Rodriguez6359717218
Cristina Botella5540413075
Fatos Xhafa5269210379
Jaime Kulisevsky4821015066
William H. Dutton432777048
Angel A. Juan412845040
Aditya Khosla396150417
Jordi Cabot381065022
Jordi Cortadella382265736
Antoni Valero-Cabré37996091
Berta Pascual-Sedano34874377
Josep Lladós332714243
Carlo Gelmetti331593912
Juan V. Luciano331062931
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202328
202286
2021503
2020505
2019401
2018343