Gesellschaft für Informatik e.V.

Lecture Notes in Informatics


Datenbanksysteme für Business, Technologie und Web (BTW 2015) P-241, 425-444 (2015).

Gesellschaft für Informatik, Bonn
2015


Copyright © Gesellschaft für Informatik, Bonn

Contents

Schema extraction and structural outlier detection for JSON-based nosql data stores

Meike Klettke , Uta Störl and Stefanie Scherzinger

Abstract


Although most NoSQL Data Stores are schema-less, information on the structural properties of the persisted data is nevertheless essential during application development. Otherwise, accessing the data becomes simply impractical. In this paper, we introduce an algorithm for schema extraction that is operating outside of the NoSQL data store. Our method is specifically targeted at semi-structured data persisted in NoSQL stores, e.g., in JSON format. Rather than designing the schema up front, extracting a schema in hindsight can be seen as a reverse-engineering step. Based on the extracted schema information, we propose set of similarity measures that capture the degree of heterogeneity of JSON data and which reveal structural outliers in the data. We evaluate our implementation on two real-life datasets: a database from the Wendelstein 7-X project and Web Performance Data.


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Gesellschaft für Informatik, Bonn
ISBN 978-3-88579-635-0


Last changed 30.04.2015 15:16:34