http://www.cnr.it/ontology/cnr/individuo/prodotto/ID219035
De-duplication of aggregation authority files (Articolo in rivista)
- Type
- Label
- De-duplication of aggregation authority files (Articolo in rivista) (literal)
- Anno
- 2012-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1504/IJMSO.2012.050014 (literal)
- Alternative label
Manghi P., Mikulicic M., Atzori C. (2012)
De-duplication of aggregation authority files
in International journal of metadata, semantics and ontologies (Online); Inderscience Enterprises Ltd., Geneva (Swaziland)
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Manghi P., Mikulicic M., Atzori C. (literal)
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- Grant agreement 246686
Tipo Progetto EU_FP7 (literal)
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- http://www.inderscience.com/offer.php?id=50014 (literal)
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- CNR-ISTI, Pisa, Italy;
CNR-ISTI, Pisa, Italy;
CNR-ISTI, Pisa, Italy; (literal)
- Titolo
- De-duplication of aggregation authority files (literal)
- Abstract
- This paper presents PACE (Programmable Authority Control Engine), an authority control tool conceived to maintain 'aggregation authority fi les'. These are obtained as continuous aggregations of records originating from a variable set of information systems with heterogeneous and duplicated content. To facilitate record deduplication in the presence of such heterogeneity and dynamicity, PACE user interfaces enable an iterative curation process, where data curators can: (i) confi gure algorithms for the identifi cation of record duplicates; (ii) open work sessions where algorithm confi gurations can be run and evaluated; (iii) merge the identifi ed record duplicates to disambiguate the authority fi le and (iv) repeat this cycle several times. PACE supports a tunable probabilistic similarity measure and performs record matching with a customisable variation of the sorted neighbourhood heuristic. Finally, it addresses the underlying performance and scalability issues by exploiting multi-core parallel processing and Cassandra's storage systems, to support I/O performances that scale up linearly with the number of records. (literal)
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