This project has retired. For details please refer to its Attic page.
Apache Any23 – Apache Any23 - Acknowledgments

Acknowledgments

The original code base comes from open-sourcing the "RDFizer" component of the Sindice search engine. The project is supported by DERI, NUI Galway, Web of Data - FBK and the OKKAM project (ICT-215032).

Initial developers who have contributed to Any23 include (in alphabetic order): Michele Catasta, Richard Cyganiak, Michele Mostarda, Davide Palmisano, Gabriele Renzi, Juergen Umbrich. A more recent collection of contributors can be seen in the GitHub contributors graph.

Below the initial sponsors of the Any23 project.

Sindice

Sindice is a platform to build applications on top of this data. Sindice collects Web Data in many ways, following existing web standards, and offers Search and Querying across this data, updated live every few minutes.

Digital Enterprise Research Institute

The vision of the Digital Enterprise Research Institute (DERI) is to be recognised as one of the leading international Web Science research institutes interlinking technologies, information and people to advance business and benefit society.

Fondazione Bruno Kessler

FBK is a research organization of the Autonomous Province of Trento that promotes research in the areas of science, technology, and humanities. Thanks to a close network of alliances and collaborations, FBK also conducts research in theoretical nuclear physics, networking, telecommunications, and social sciences.

OKKAM

The OKKAM project aims at enabling the Web of Entities, namely a virtual space where any collection of data and information about any type of entities (e.g. people, locations, organizations, events, products, ...) published on the Web can be integrated into a single virtual, decentralized, open knowledge base.

LOD2

The LOD2 consortium comprises expertise in Semantic Web technologies, ontological engineering, machine learning, Web search, information retrieval, databases and knowledge stores. With CWI's reputation in the database world, LOD2 aims to substantially contribute to cross-fertilization between database and semantic web research.