2019
DOI: 10.3390/info10100291
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Blind Queries Applied to JSON Document Stores

Abstract: Social Media, Web Portals and, in general, information systems offer their own Application Programming Interfaces (APIs), used to provide large data sets concerning every aspect of day-by-day life. APIs usually provide data sets as collections of JSON documents. The heterogeneous structure of JSON documents returned by different APIs constitutes a barrier to effectively query and analyze these data sets. The adoption of NoSQL document stores, such as MongoDB, is useful for gathering these data sets, but does n… Show more

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Cited by 6 publications
(4 citation statements)
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“…We will also investigate the possibility to integrate the J-CO-QL Engine with a Map-Reduce platform, such as Spark, that we successfully experimented for building a blind querying engine for Open Data sets [49] and for JSON data sets stored within JSON document stores [50]. In fact, in order to process actual Big Data, this solution appears to be promising; nonetheless, we will maintain the loosely-coupled approach, so as to keep user interfaces independent of computational resources actually adopted to process J-CO-QL queries.…”
Section: Future Workmentioning
confidence: 99%
“…We will also investigate the possibility to integrate the J-CO-QL Engine with a Map-Reduce platform, such as Spark, that we successfully experimented for building a blind querying engine for Open Data sets [49] and for JSON data sets stored within JSON document stores [50]. In fact, in order to process actual Big Data, this solution appears to be promising; nonetheless, we will maintain the loosely-coupled approach, so as to keep user interfaces independent of computational resources actually adopted to process J-CO-QL queries.…”
Section: Future Workmentioning
confidence: 99%
“…In [57,58], we proposed a technique for blindly querying these portals: in fact, the number of published data sets is so large that it is not possible to know their structure in advance; the blind approach exploits information-retrieval techniques to retrieve possibly interesting data sets and single documents of interest on the basis of a modern implementation on Map-Reduce platforms [59,60]. Since the developed technique works on data sets in the form of JSON documents, we then applied it to data stored in a JSON document store managed by the MongoDB NoSQL DBMS [61].…”
Section: Genesis Of the J-co Frameworkmentioning
confidence: 99%
“…In order to make the creation and transmission of event reports more flexible, the ERs are defined in the JavaScript object notation (JSON) format [36]. The JSON is an open-standard file format that associates attributes to values, similarly to the popular extensible markup language (XML) format.…”
Section: Event Reportsmentioning
confidence: 99%