- From: Alfredo Serafini <seralf@gmail.com>
- Date: Mon, 21 Sep 2015 16:30:13 +0200
- To: Giovanni Tummarello <g.tummarello@gmail.com>
- Cc: Semantic Web at W3C <semantic-web@w3.org>, Linking Open Data <public-lod@w3.org>
- Message-ID: <CADawF4OqAUSpksYsk3GhAWB2MAzuGuShSEq8Bx7YjJhimJUCgw@mail.gmail.com>
wow, it seems a great work! :-) I'll try it as soon as I can, thank you for sharing 2015-09-21 15:56 GMT+02:00 Giovanni Tummarello <g.tummarello@gmail.com>: > Dear all > > we at Siren Solutions are very happy to announce today Kibi an Open Source > Data Intelligence platform for "Data Intelligence" > > Kibi is a "friendly fork" of Kibana - an amazing platform for browsing > data and getting analytics backed by Elasticsearch. > > Kibi extends Kibana with the ability of handle relational data, either via > cross Elasticsearch index joins, or via querying external SQL or SPARQL (!) > endpoints. > > With these extensions, Kibi can deliver ultrafast, realtime, > scalable/search and analytics (quasi BI grade) on mixed/semistructured > datasets - in an entirely user customizable data environment. > > Possible applications - among which several from actual early adopters: > > > - Security and IP intelligence: display which servers are being > attacked by a set of malicious IP addresses, stored in a separate index. > - News/Financial Intelligence: perform analytics on companies > mentioned in social media streams, news feeds and analysts reports; show > related financial information over a custom time period. > - Business Intelligence: * what are the most purchased products by > customers that during any email or support interactions have mentioned the > name of a competitor in the past quarter?* > - Life Science: browse targets, references, formulae and molecular > structures related to the papers from a specific author. > - Law Enforcement: display informations about suspects and offenders , *extends > your search by filters created by querying an external high performance > graph store.* > - Internet of things, sensors data: display the location of the > sensors on a map, restrict the visualization to a specific area, then > display all the communication logs generated by the sensors in the area in > real time. > - Legal Practice Management: display all the information about the > cases related to a specific topic, outcome or time, then drill down > on related cases. > - Mobility planning: perform analytics on vehicle behaviour by joining > traffic data, vehicle registration numbers, driver licenses and violations, > e.g. *see the top five violations from drivers under 30 years driving > a car with a power above a certain threshold in the past year*. > - Local authority planning: related building permission documents with > information about architects, owners and nearby buildings. > > > But most of all Kibi is a lot of fun to us, give it a shot :) - the > distribution comes preloaded with a nice large relational data demo. A > couple of clicks and you'll be playing with it. > > *Blog post with details:* > > http://siren.solutions/kibi-a-kibana-fork-for-data-intelligence/ > > *Homepage:* > > http://siren.solutions/kibi > > Screencast (6m) - much better for those who know Kibana, but will still > give some ideas. > > https://www.youtube.com/watch?v=Zkig4iXl_HM&feature=youtu.be > > *Open Source* > > Kibi is Opensource, release as Apache (frontend - the Kibana fork) and > AGPL - the Backend, the SIREn relational join plugins. > > *The relationship with "Semantic Web"* > > Within Kibi and in its roadmap are numerous features which are inspired or > inherit some of the good ideas of the SW. For example Kibi uses "URIs" > internally also to point at records, be these in Elasticsearch or SQL > databases. Also, support for taxonomies and graph queries will be coming > relatively soon, as well as simple inference. > > *Acknowledgements:* > > Acknowledgements go the SmartOpenData FP7 project - where Kibi is > providing analytics on geographical data - and the MixedEmotions H2020 > project, where Kibi is used for emotion analytics on partner's > media. Acknowledgement also go to the Data and Knowledge Management > Research Unit at Fondazione Bruno Kessler FBK institute for the project > idea support and feedback. > > Giovanni Tummarello > SIREn Solutions (Formerly Sindicetech) >
Received on Monday, 21 September 2015 14:30:43 UTC