Name
Abstract | ||
|---|---|---|
The Big Data paradigm has recently come on scene in a quite pervasive manner. Sifting through massive amounts of this kind of data, parsing them, transferring them from a source to a target database, and analyzing them to improve business decision-making processes is too complex for traditional approaches. In this respect, there have been recent proposals that enrich data while exchanging them, such as the Data Posting framework. This framework requires the ability of using domain relations and count constraints, which may be difficult to manage for non-expert users. In this paper, we propose Smart Data Posting, a framework using intuitive constructs that are automatically translated in the standard Data Posting framework. In particular, we allow the use of smart mapping rules extended with additional selection criteria and the direct use of tuple generating dependencies and equality generating dependences. We present a complexity analysis of the framework and describe the architecture of a system for advanced search, tailored for Big Data, that implements the Smart Data Posting framework. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/978-3-030-27629-4_33 | FLEXIBLE QUERY ANSWERING SYSTEMS |
Field | DocType | Volume |
Architecture,Information retrieval,Tuple,Computer science,Parsing,Smart data,Big data | Conference | 11529 |
ISSN | Citations | PageRank |
0302-9743 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Elio Masciari | 1 | 332 | 46.45 |
| Domenico Saccà | 2 | 0 | 0.34 |
| Irina Trubitsyna | 3 | 119 | 24.66 |