Announcing KIBI a Data Intelligence platform (with some "semantic web")

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)