We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Storage schema and ontology-independent SPARQL to HiveQL translation.
- Authors
Karim, Naila; Latif, Khalid; Anwar, Zahid; Khan, Sharifullah; Hayat, Amir
- Abstract
Growing size of Semantic Web data demands scalable semantic stores. Hadoop-based distributed and parallel processing frameworks such as HBase and Hive are becoming increasingly popular for storing and retrieving voluminous data. Hive, more specifically, supports complex analytical processing but the query interface does not support data exploration using SPARQL, a standard query language for Semantic Web. We propose a semantic preserving SPARQL to HiveQL translation scheme that provides a querying interface for Hive in an attempt to realize a scalable semantic web triplestore. Major contributions of our research include: semantic preserving SPARQL to HiveQL query translation algorithm and storage schema-independent querying mechanism that accommodates different storage schemes without impacting translation time. The results demonstrate efficient working of proposed translation algorithm and that it supports different types of SPARQL queries.
- Subjects
SPARQL (Computer program language); SEMANTIC Web; INFORMATION storage &; retrieval systems; QUERY languages (Computer science); PARALLEL processing
- Publication
Journal of Supercomputing, 2015, Vol 71, Issue 7, p2694
- ISSN
0920-8542
- Publication type
Article
- DOI
10.1007/s11227-015-1411-2