World Wide Web Journal - Special issue: Web security: a matter of trust
Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Querying the Semantic Web with RQL
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: The Semantic Web: an evolution for a revolution
RAL: An Algebra for Querying RDF
World Wide Web
An efficient SQL-based RDF querying scheme
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Extending RDBMSs To Support Sparse Datasets Using An Interpreted Attribute Storage Format
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Effective and efficient semantic web data management over DB2
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Model-independent schema translation
The VLDB Journal — The International Journal on Very Large Data Bases
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
OWLIM – a pragmatic semantic repository for OWL
WISE'05 Proceedings of the 2005 international conference on Web Information Systems Engineering
Querying RDF data from a graph database perspective
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
Pay-as-you-go data integration for linked data: opportunities, challenges and architectures
SWIM '12 Proceedings of the 4th International Workshop on Semantic Web Information Management
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The Semantic Web is gaining increasing interest to fulfill the need of sharing, retrieving, and reusing information. In this context, the Resource Description Framework (RDF) has been conceived to provide an easy way to represent any kind of data and metadata, according to a lightweight model and syntaxes for serialization (RDF/XML, N3, etc.). Despite RDF has the advantage of being general and simple, it cannot be used as a storage model as it is, since it can be easily shown that even simple management operations involve serious performance limitations. In this paper we present a framework which provides a flexible and persistent layer relying on a novel storage model that guarantees good scalability and performance of query evaluation. The approach is based on the notion of construct, that represents a concept of the domain of interest. This makes the approach easily extensible and independent from the specific knowledge representation language. Based on this representation, reasoning capabilities are supported by a rule-based engine. Finally we present experimental results over real world scenarios to demonstrate the feasibility of the approach.