Title: HADatAc the Human-Aware Data Acquisition framework.
Coordination: Paulo Pinheiro (TW/RPI & LESA/RPI), Deborah McGuinness (TW/RPI), Anna Dyson (CEA/Yale), Marcello Bax (ECI/PPGGOC/UFMG)
Description: HADatAc (Human-Aware Data Acquisition framework) is an open-source infrastructure that enables combined acquisitions of data and metadata in a way that metadata is properly and logically connected to data. By data (and metadata) acquisition we mean the process of identifying data sources, interacting with these sources to move the data from their transient state into a persistent repository, and to enable the data to be retrieved from their persistent repositories through the use of queries. HADatAc data is composed of scientific measurements in support of empirical scientific activities and/or computer-generated results of model simulations in support of computational scientific activities. HADatAc metadata is a rich collection of contextual knowledge about scientific activities encoded and connected to the data through the use of semantic web technologies. A significant amount of time and effort is often spent organizing data before their meaning can be understood, thus enabling one to analyze the data and to infer new knowledge from them. This rich metadata collection is thus leveraged by the HADatAc infrastructure to support the following: data management; data governance in terms of privacy, access, and dissemination; uncertainty management; and (big) data analytics.
PINHEIRO, P. ; SANTOS, H. ; LIANG, Z. ; LIU, Y. ; RASHID, S. ; MCGUINNESS, D. ; BAX, M. P. . HADatAc: A Framework for Scientific Data Integration using Ontologies.. In: ISWC – International Semantic Web Conference (P&D/Industry/BlueSky), 2018, Monterey, USA. Proceedings of the ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks co-located with 17th International Semantic Web Conference (ISWC 2018), Monterey, USA, October 8th – to – 12th,, 2018.
PINHEIRO, P. ; BAX, M. P. ; SANTOS, H. ; RASHID, S. ; LIANG, Z. ; LIU, Y. ; MCCUSKER, J. ; MCGUINNESS, D. . Annotating Diverse Scientific Data With HAScO. In: ONTOBRAS 2018 (Seminário de pesquisa em ontologias do Brasil – 2018), 2018, São Paulo. Proceedings of the XI Seminar on Ontology Research in Brazil (ONTOBRAS 2018), São Paulo, Brazil, October 1st-3rd, 2018., 2018.