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AllegroGraph
AllegroGraph is a Horizontally Distributed, Multi-model (Document and Graph), Entity-Event Knowledge Graph

AllegroGraph is a closed source triplestore which is designed to store RDF triples, a standard format for Linked Data. It also operates as a document store designed for storing, retrieving and managing document-oriented information, in JSON-LD format. AllegroGraph is currently in use in commercial projects and a US Department of Defense project. It is also the storage component for the TwitLogic project that is bringing the Semantic Web to Twitter data.

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Implementation

AllegroGraph was developed to meet W3C standards for the Resource Description Framework, so it is properly considered an RDF Database. It is a reference implementation for the SPARQL protocol.9 SPARQL is a standard query language for linked data, serving the same purposes for RDF databases that SQL serves for relational databases.10

Franz Inc. is the developer of AllegroGraph. It also develops Allegro Common Lisp, an implementation of Common Lisp, a dialect of Lisp (programming language). The functionality of AllegroGraph is made available through Java, Python, Common Lisp and other APIs.11

The first version of AllegroGraph was made available at the end of 2004.12

Languages

AllegroGraph has client interfaces for Java, Python, Ruby, Perl, C#, Clojure, and Common Lisp. The product is available for Windows, Linux, and Mac OS X platforms, supporting 32 or 64 bits.13

For query languages, besides SPARQL, AllegroGraph also supports Prolog and JavaScript.14

References

  1. Claburn, Thomas (16 April 2007). "Web 2.0 Arrives to Find Web 3.0 Underway". Dr. Dobb. UBM Tech. Archived from the original on 4 September 2015. Retrieved 22 September 2015. https://web.archive.org/web/20150904164558/http://www.drdobbs.com/web-development/web-20-arrives-to-find-web-30-underway/199001127 ↩

  2. GenomeWeb-Pfizer Article http://franz.com/agraph/cresources/white_papers/BioInform_mar3_Pfizer-Partners-with-IO-Franz_on-Semantic-Proof-of-Concept.pdf ↩

  3. Eli Lilly Project Presentation http://www.iscb.org/cms_addon/conferences/cshals2009/presentations/GudivadaCFeb09.pdf ↩

  4. "Making a Semantic Web Business Case at Pfizer". Archived from the original on 2010-06-27. Retrieved 2010-05-18. https://web.archive.org/web/20100627015730/http://www.semanticweb.com/news/making_a_semantic_web_business_case_at_pfizer_161731.asp ↩

  5. Society, IEEE Computer (2008). Proceedings, IEEE International Conference on Semantic Computing 2008 ICSC 2008 : 4-7 August 2008, Santa Clara, California. [Piscataway, N.J.]: IEEE Xplore. ISBN 978-0-7695-3279-0. 978-0-7695-3279-0 ↩

  6. Contributions to a Semantically Based Intelligence Analysis Enterprise Workflow System http://c4i.gmu.edu/OIC09/papers/OIC2009_4_SchragEtAll.pdf ↩

  7. TwitLogic Paper http://events.linkeddata.org/ldow2010/papers/ldow2010_paper16.pdf ↩

  8. Snoek, C.G.M.; Huurnink, B.; Hollink, L.; de Rijke, M.; Schreiber, G.; Worring, M. (August 2007). "Adding Semantics to Detectors for Video Retrieval" (PDF). IEEE Transactions on Multimedia. 9 (5): 975–986. doi:10.1109/TMM.2007.900156. hdl:1871/24469. S2CID 11528628. http://www.cs.vu.nl/~guus/papers/Snoek07a.pdf ↩

  9. SPARQL Protocol Implementation Report http://www.w3.org/2001/sw/DataAccess/impl-report-protocol ↩

  10. R, Angles (2012). 2012 IEEE International Conference on Data Engineering Workshops. Piscataway: IEEE. ISBN 978-1-4673-1640-8. 978-1-4673-1640-8 ↩

  11. Watson, Mark (2009). Scripting intelligence : Web 3.0 information gathering and processing (New ed.). Berkeley, CA: Apress. ISBN 9781430223511. 9781430223511 ↩

  12. Watson, Mark (2009). Scripting intelligence : Web 3.0 information gathering and processing (New ed.). Berkeley, CA: Apress. ISBN 9781430223511. 9781430223511 ↩

  13. "AllegroGraph Client Downloads". https://franz.com/agraph/downloads/clients ↩

  14. Fernandes, Diogo; Bernardino, Jorge (2018). "Graph Databases Comparison: AllegroGraph, ArangoDB, InfiniteGraph, Neo4J, and OrientDB" (PDF). Proceedings of the 7th International Conference on Data Science, Technology and Applications. DATA 2018. Porto: SCITEPRESS – Science and Technology Publications, Lda. pp. 373–380. ISBN 978-989-758-318-6. 978-989-758-318-6 ↩