Digging into Big Provenance (with SPADE)

Autor:	Raza Ahmad, Hassan Irshad, Jianqiao Zhu, Ashish Gehani, Jignesh M. Patel
Rok vydání:	2021
Předmět:	Digging Provenance Information retrieval General Computer Science Data model Computer science 020204 information systems Chaining 0202 electrical engineering electronic engineering information engineering Faceted search 02 engineering and technology User interface Natural (archaeology)
Zdroj:	Queue. 19:77-106
ISSN:	1542-7749 1542-7730
DOI:	10.1145/3475965.3476885
Popis:	Several interfaces exist for querying provenance. Many are not flexible in allowing users to select a database type of their choice. Some provide query functionality in a data model that is different from the graph-oriented one that is natural for provenance. Others have intuitive constructs for finding results but have limited support for efficiently chaining responses, as needed for faceted search. This article presents a user interface for querying provenance that addresses these concerns and is agnostic to the underlying database being used.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d849962873e0d0dd2a2dc3f0da68f2b2 https://doi.org/10.1145/3475965.3476885 Zobrazit plný text záznamu