A Review of Accessing Big Data with Significant Ontologies

Jumah Y.J Sleeman (Department of Computer Information Systems, Al-Quds Open University, Beit Jalla, The Main road-Khallat Al Badd, Bethlehem, Palestine)
Jehad Abdulhamid Hammad (Al-Quds Open University, Palestine)

Knowledge Engineering and Data Science
Vol 3, No 2 (2020)

Ontology Based Data Access (OBDA) is a recently proposed approach which is able to provide a conceptual view on relational data sources. It addresses the problem of the direct access to big data through providing end-users with an ontology that goes between users and sources in which the ontology is connected to the data via mappings. We introduced the languages used to represent the ontologies and the mapping assertions technique that derived the query answering from sources. Query answering is divided into two steps: (i) Ontology rewriting, in which the query is rewritten with respect to the ontology into new query; (ii) mapping rewriting the query that obtained from previous step reformulating it over the data sources using mapping assertions. In this survey, we aim to study the earlier works done by other researchers in the fields of ontology, mapping and query answering over data sources.