2013
Autores
Castro, JA; Ribeiro, C; Da Silva, JR;
Publicação
Proceedings of the International Conference on Dublin Core and Metadata Applications
Abstract
Metadata production for research datasets is not a trivial problem. Standardized descriptors are convenient for interoperability, but each area requires specific descriptors in order to guarantee metadata comprehensiveness and accuracy. In this paper, we report on an ongoing research data management experience at the University of Porto (U. Porto), which led to the proposal of a domain-specific application profile. We presented two curation tools to a group of researchers from mechanical engineering, to help them manage and describe their datasets. After monitoring their interactions with the solutions and analyzing the needs of the group, we were able to select a subset of qualified Dublin Core (DC), as well as a set of complementary descriptors, to capture the main aspects of their experiments. The resulting application profile combines generic, standardized DC descriptors with descriptors from a different experimental standard, and introduces extra domain-specific ones. The profile has been validated by the researchers and is now being used in the description of their datasets. © DCMI 2013.
2013
Autores
Ribeiro, C;
Publicação
IASSIST 2013 - Data Innovation: Increasing Accessibility, Visibility, and Sustainability, Cologne, Germany, May 29-31, 2013
Abstract
2013
Autores
Coelho, F; Devezas, JL; Ribeiro, C;
Publicação
Open research Areas in Information Retrieval, OAIR '13, Lisbon, Portugal, May 15-17, 2013
Abstract
2013
Autores
Nabuco, M; Paiva, ACR; Camacho, R; Faria, JP;
Publicação
PROCEEDINGS OF THE 2013 8TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI 2013)
Abstract
This paper presents an approach to infer UI patterns existent in a web application. This reverse engineering process is performed in two steps. First, execution traces are collected from user interactions using the Selenium software. Second, the existing UI patterns within those traces are identified using Machine Learning inference with the Aleph ILP system. The paper describes and illustrates the proposed methodology on a case study over the Amazon web site.
2013
Autores
Faria, JP; Lima, B; Sousa, TB; Martins, A;
Publicação
2013 IEEE 15th International Conference on e-Health Networking, Applications and Services, Healthcom 2013
Abstract
To cope with the needs raised by the demographic changes in our society, several Ambient-Assisted Living (AAL) technologies have emerged in recent years, but those 'first offers' are often monolithic, incompatible and thus expensive and potentially not sustainable. The AAL4ALL project aims at improving that situation through the development of an open ecosystem of interoperable products and services for AAL, tied together via an integration infrastructure. To that end, the project encompasses the specification of a set of reference models and requirements for interoperable products and services, against which candidate products and services can be tested and certified, and subsequently integrated as components of the ecosystem. This paper proposes a testing and certification methodology for such an ecosystem. © 2013 IEEE.
2013
Autores
Faria, JP; Paiva, ACR;
Publicação
ACM SIGSOFT Software Engineering Notes
Abstract
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