The implementation and performance of compressed databases
ACM SIGMOD Record
Space/time trade-offs in hash coding with allowable errors
Communications of the ACM
C-store: a column-oriented DBMS
VLDB '05 Proceedings of the 31st international conference on Very large data bases
An efficient SQL-based RDF querying scheme
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Scalable semantic web data management using vertical partitioning
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Effective and efficient semantic web data management over DB2
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
RDF-3X: a RISC-style engine for RDF
Proceedings of the VLDB Endowment
Hexastore: sextuple indexing for semantic web data management
Proceedings of the VLDB Endowment
Column-store support for RDF data management: not all swans are white
Proceedings of the VLDB Endowment
SW-Store: a vertically partitioned DBMS for Semantic Web data management
The VLDB Journal — The International Journal on Very Large Data Bases
A Scalable Scheme for Bulk Loading Large RDF Graphs into Oracle
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Scalable join processing on very large RDF graphs
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Scalable indexing of RDF graphs for efficient join processing
Proceedings of the 18th ACM conference on Information and knowledge management
The RDF-3X engine for scalable management of RDF data
The VLDB Journal — The International Journal on Very Large Data Bases
LUBM: A benchmark for OWL knowledge base systems
Web Semantics: Science, Services and Agents on the World Wide Web
Matrix "Bit" loaded: a scalable lightweight join query processor for RDF data
Proceedings of the 19th international conference on World wide web
YARS2: a federated repository for querying graph structured data from the web
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
DBpedia: a nucleus for a web of open data
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
HPRD: a high performance RDF database
NPC'07 Proceedings of the 2007 IFIP international conference on Network and parallel computing
x-RDF-3X: fast querying, high update rates, and consistency for RDF databases
Proceedings of the VLDB Endowment
gStore: answering SPARQL queries via subgraph matching
Proceedings of the VLDB Endowment
AWETO: efficient incremental update and querying in rdf storage system
Proceedings of the 20th ACM international conference on Information and knowledge management
Building an efficient RDF store over a relational database
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
TripleBit: a fast and compact system for large scale RDF data
Proceedings of the VLDB Endowment
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With the fast growth of the knowledge bases built over the Internet, storing and querying millions or billions of RDF triples in a knowledge base have attracted increasing research interests. Although the latest RDF storage systems achieve good querying performance, few of them pay much attention to the characteristic of dynamic growth of the knowledge base. Since the building of the knowledge base is usually a continuous process, incremental update over the RDF storage system is in great need. In this paper, to consider the efficiency of both querying and incremental update in RDF data, we propose a hAsh-based tWo-tiEr rdf sTOrage system (abbr. to AWETO) with new index architecture and query execution engine. The performance of our system is systematically measured over two large-scale datasets. Compared with the other three state-of-the-art open source RDF storage systems, our system achieves the best incremental update efficiency meanwhile, the query efficiency is competitive.