Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Rizzolo, Flavio"'
Autor:
Bertossi, Leopoldo, Rizzolo, Flavio
The quality of data is context dependent. Starting from this intuition and experience, we propose and develop a conceptual framework that captures in formal terms the notion of "context-dependent data quality". We start by proposing a generic and abs
Externí odkaz:
http://arxiv.org/abs/1608.04142
Autor:
Rizzolo, Flavio Carlos
The nature of semistructured data in web collections is evolving. Even when XML web documents are valid with regard to a schema, the actual structure of such documents exhibits significant variations across collections for several reasons: an XML sch
Externí odkaz:
http://hdl.handle.net/1807/17254
View points on data points: A shared vocabulary for cross-domain conversations on data and metadata.
Autor:
Alter, George1 altergc@umich.edu, Rizzolo, Flavio2 flavio.rizzolo@statcan.gc.ca, Schleidt, Kathi3 kathi@datacove.eu
Publikováno v:
IASSIST Quarterly. 2023, Vol. 47 Issue 1, p1-39. 39p.
Data warehouses are overwhelmingly built through a bottom-up process, which starts with the identification of sources, continues with the extraction and transformation of data from these sources, and then loads the data into a set of data marts accor
Externí odkaz:
http://arxiv.org/abs/1009.0255
Autor:
Rizzolo, Flavio
This thesis introduces DescribeX, a powerful framework that is capable of describing arbitrarily complex XML summaries of web collections, providing support for more efficient evaluation of XPath workloads. DescribeX permits the declarative descripti
Externí odkaz:
http://arxiv.org/abs/0807.2972
Statistical agencies are seeing a much more federated and complex data ecosystem where data flows from one organization to another. Metadata standards are key to facilitate this movement, including through greater automation to collect, manage, produ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8225fae5829762f22a87ea8ce0ff131c
Autor:
Gregory, Arofan, Rizzolo, Flavio
DDI Cross-Domain Integration is a forthcoming standard which is intended to complement other metadata specifications – notably DDI Codebook and DDI Lifecycle – by making it possible to share and reuse data across domain boundaries and within and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a41c74f13be0700b87aaf88245ed8b2
Autor:
Rizzolo, Flavio, Sanjari, Farrah
Metadata in statistical production is ubiquitous: from concepts, classifications and variables to retention and provenance information, metadata is created, used and shared across all phases of the data lifecycle. Unfortunately, metadata management i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a25aca0094de73ea7fd90086e994d6b
The third webinar of the new DDI Alliance / CODATA Training Webinar series took place on 2nd September 2021,with 105 participants. The DDI Cross Domain Integration (DDI-CDI) standard will soon be released by the DDI Alliance as the latest in its seri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::551f66a79ed4694974c7b4f1498e6a67