OWLIM is a family of semantic repositories, or RDF database management systems, with the following characteristics:
OWLIM is used in a large number of research projects and software tools. Independent opinions justifying our bold claims are referred to here.
The presentation Lowering the Cost of Data and Content Integration and enabling Searching and Querying of Billions of Facts on the Web presents the key features of OWLIM alongside an introduction to the benefits of using RDF databases for data integration and a discussion on linked data management.
OWLIM-Lite is the fastest semantic repository in the World: it supports non-trivial inference with tens of millions of statements on contemporary desktop hardware.
OWLIM-SE is the most scalable semantic repository in the World: it can load tens of billions of RDF statements, using non-trivial inference and delivers outstanding multi-user query performance. OWLIM-SE is a robust engine packed with advanced features that bring unmatched efficiency to a huge variety of application scenarios:
OWLIM-Enterprise is a replication cluster infrastructure based on OWLIM-SE. It offers industrial strength resilience and linearly scalable parallel query performance, with support for load-balancing and automatic fail-over
You can find more information about the features of the different versions of OWLIM here.
You can download and use OWLIM-Lite free of charge for any purpose. Restricted versions of OWLIM-SE and OWLIM-Enterprise can be obtained free of charge for evaluation purposes only. Ontotext offer maintenance packages and commercial licenses for OWLIM-SE and OWLIM-Enterprise.
GET OWLIM-Lite → GET OWLIM-SE → GET OWLIM-ENTERPRISE →
To find out more, please refer to the OWLIM Documentation section or contact us directly.
OWLIM uses Sesame as a library, taking advantage of its APIs for storage and querying, as well as the support for a wide variety of query languages (e.g. SPARQL and SeRQL) and RDF syntaxes (e.g. RDF/XML, N3, N-Triples, Turtle, etc).
The development of OWLIM has been partly supported by SEKT, TAO, TripCom, LarKC, SOA4ALL, and other FP6 and FP7 European research projects.