Scalable End-User Access to Big Data

Martin Giese, Diego Calvanese, Peter Haase, Ian Horrocks, Yannis Ioannidis, Heralk Kllapi, Manolis Koubarakis, Maurizio Lenzerini, Ralf Möller, Özgür Özcep, Mariano Rodriguez-Muro, Riccardo Rosati, Rudolf Schlatte, Michael Schmidt, Ahmet Soylu, and Arild Waaler

Big Data Computing. 2013.

This chapter proposes steps towards the solution to the data access problem that end-users typically face when dealing with Big Data: (i) They need to pose ad hoc queries to a collection of data sources, possibly including streaming sources; (ii) They are unable to query those sources on their own, but are dependent on assistance from IT experts; (iii) The turnaround time for information requests is in the range of days, possibly weeks, due to the involvement of the IT personnel; (iv) The volume, complexity, variety and velocity of the underlying data sources put very high demands on the scalability of the solution. We propose to approach this problem using ontology-based data access (OBDA), the idea being to capture end-user conceptualizations in an ontology and use declarative mappings to connect the ontology to the underlying data sources. End user queries posed are posed in terms of concepts of the ontology and are then rewritten to queries against the sources.

@incollection{book-big-data-2013,
   title = "Scalable End-User Access to Big Data",
   year = "2013",
   author = "Martin Giese and Diego Calvanese and Peter Haase and Ian
Horrocks and Yannis Ioannidis and Heralk Kllapi and Manolis Koubarakis and
Maurizio Lenzerini and Ralf Möller and Özgür Özcep
and Mariano Rodriguez-Muro and Riccardo Rosati and Rudolf Schlatte and
Michael Schmidt and Ahmet Soylu and Arild Waaler",
   editor = "Rajendra Akerkar",
   booktitle = "Big Data Computing",
   publisher = "CRC Press",
}

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