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Sparsity Technologies
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Sparsity Technologies develops, supports, commercializes and provides services based on the technology of graph databases.
Sparsity Technologies develops, supports, commercializes and provides services based on the technology of graph databases.

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Sparsity will be at this next Mobile World Congress edition that takes place in Barcelona from the 22nd to the 25th of February. We will have a stand in the Catalonia area (Hall Congress Square CS50) presenting our new Smart Mobility platform CIGO! and Sparksee Mobile. #MWC16

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Sparsity is involved in IT2Rail EU funded project, a first step towards the long term IP4 - IT Solutions for Attractive Railway Services. The project aims at providing a new seamless travel experience, giving access to a complete multimodal travel offer connecting the first and last mile to long distance journeys. Read more about the project and Sparsity's contributions in our latest blog post. #it2rail   #EUproject   #IT   #travel

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New post on the blog!

New blog post!

Knowledge bases like #Wikipedia  are very good sources for knowledge extraction, the ability to create knowledge from structured and unstructured sources and use it to improve automatic processes. In today's post we talk about how understanding the Wikipedia graph structure can be useful in the case of query expansion.

#graphdb   #bigdata   #NoSQL  

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Sparsity Technologies is involved in the SOMATCH project funded by the EU with the objective to bring Business Intelligence to SMEs of the fashion industry. More info on the blog!

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Sparsity Technologies is the european SME with the highest innovation capacity in ICT according to European Commission’s first Innovation Radar (IR) Report published last week by the Joint Research Centre.

Sparsity wants to thank all the hard work and dedication of the talented Sparsity team that during all these years has made possible this great achievement!

#innovation   #Europe   #graphdb   #NoSQL  

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New post on the blog! These are our conclusions concerning the paper called "Microblogging queries on graph databases" presented by a group of researchers from the RMIT University (Australia) in the last edition of the GRADES Workshop co-located with SIGMOD/PODS Conference. The authors shared their experience on executing a wide variety of micro-blogging queries on two popular graph databases: #Neo4j  and #Sparksee .

#graphdb   #NoSQL  

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We are glad to announce the release of Sparksee 5.2! The new features are the following:

- The fastest community detection algorithm.
- Concurrency performance boost in read transactions.
- Faster shortest path algorithm.
- Added support for 64 bits processors on Android.

More info about the new features can be found in our latest blog post: http://ow.ly/O0Frt

As always, bug fixing and further improvement of the documentation has been implemented as well with the newest version, we would like to thank the feedback from our users!

Remember that you can download your trial on our website or request a license for free at http://sparsity-technologies.com/#licenses

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When searching images for a query like “colored Volkswagen beetle” the most common search engines would retrieve some images with the famous car, but also the bug and even a bird that also recalls for that name. In this new blog post we explain how query expansion by exploiting graph properties can solve this ambiguity problems.
#graphdb   #nosql   #research

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New blog post: "Graph database use case: Insurance fraud detection". Insurance fraud is an issue that must be addressed given the benefits for both the insurer and the insured. Sophisticated fraud rings are usually well-organized and informed enough to avoid being spotted by the traditional means. In this scenario, graph DBMSs play a significant role as an alternative to relational ones.
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