ICIC   25583
INSTITUTO DE CIENCIAS E INGENIERIA DE LA COMPUTACION
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Oceanographic Data Management: Towards the publishing of Pampa Azul Oceanographic Campaigns as Linked Data
Autor/es:
ZARATE, M.D.; DELRIEUX, C.; ROSALES, P.; LEWIS M.; FILLOTRANI , P.
Lugar:
Cali
Reunión:
Workshop; 12TH Alberto Mendelzon International Workshop on Foundations Of Data Management; 2018
Institución organizadora:
Universidad del Valle y Pontificia Universidad Javeriana
Resumen:
Pampa Azul is a governmental initiative in Argentina that supports researchactivities through oceanographic campaigns and promotes interdisciplinary cooperation between institutes of marine research in areas of national jurisdiction. The Argentine Continental shelf houses commercial fisheries, biodiversity, hydrocarbon basins and mineral deposits of great economic and ecologic importance.In particular, the San Jorge gulf6 has ecologic and geographic features thatbrought together broad and sustained oceanographic research activities. Thegulf is located in the central region of the Patagonian ocean litoral, where oiland fishing industries coexist along with tourism, which gives rise to ongoingand acute environmental risks. For this reason, accurate and frequent oceanicsampling and measurement is of critical social, economic and ecologic importance.Oceanographic campaigns funded by the Pampa Azul initiative are thebasis of scientific research at sea, yielding huge amounts of data, highly heterogeneous in types and formats, and scattered across distributed data repositories.Oceanographic research and efficient management of the collected data oftenappear to be two widely separated worlds. Data managers consider the carefulcollection, management and dissemination of research data as essential for theeffective use, while researchers consider data management as a merely technicalissue, of little relevance for their interests. Consequently, data management isoften insufficiently planned, if at all, and receives very low priority and budget.As part of governmental policies towards ocean management, researchers fromArgentine scientific institutions are required to disseminate their activities and accomplishments to give greater visibility to the national efforts in this field. For individual researchers, this situation presents a difficult challenge regarding discovery, access, and integration of data which they need to conduct scientific inquiries. As specific cases of these problems, we can mention (i) data level conflicts caused by differences that arise in data domains due to multiple possible representations and similar data interpretations, and (ii) lack of an integrated knowledge infrastructure which hinders the ability of researchers to analyze potential discovery scenarios if more than one repository is involved. For example, they may be interested in knowing if in a marine region there are CTD data available7, provided by oceanographic campaigns in the region of interest performed by research vessels not belonging to Pampa Azul. The Semantic Web (SW) [1] provides possible solutions to these and other problems by enabling the web of Linked Data (LD) [2], which is a methodology for publishing data and metadata in a structured format in a way such that links may be created and exploited between objects. The key enabling components are URIs, HTTP, the Resource Description Framework (RDF), and the SPARQL Protocol and RDF Query Language (SPARQL). In this short paper we present the initial steps in the creation of a oceanographic linked dataset using information from the oceanographic campaigns of Pampa Azul. To achieve consistency, discoverability and make the datasets readable by machines and humans, we use different controlled vocabularies among them NERC Vocabulary Server8 together with the geospatial standard for the semantic web GeoSPARQL [3] and the reuse of the ontological design pattern (ODP) for oceanographic cruises [4]. In addition we complement the Pampa Azul information with the oceanographic linked dataset Rolling Deck to Repository (R2R9).