- From: Giovanni Tummarello <g.tummarello@gmail.com>
- Date: Mon, 21 Sep 2015 15:51:53 +0100
- To: Alfredo Serafini <seralf@gmail.com>
- Cc: Semantic Web at W3C <semantic-web@w3.org>, Linking Open Data <public-lod@w3.org>
- Message-ID: <CAHHRs7j9yRqVKfHEOuoraDMKzob78ujR08up3tP8VWxfJMVP8Q@mail.gmail.com>
Thanks a lot Alfredo. We put a good amount of care in making Kibi as easy as possible to try and deploy. A Full demo comes included in the distribution, it should be a couple of clicks (on windows) or just two simple commands on Mac/Linux :). Please refer to the user guide for a guided tour http://siren.solutions/kibi/docs/current/ Gio On Mon, Sep 21, 2015 at 3:30 PM, Alfredo Serafini <seralf@gmail.com> wrote: > 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 14:52:43 UTC