Www.rosoka.com Connecting the Who and the What with the When and the Where April, 2015.
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www.rosoka.com
Connecting the Who and the What with the When and the Where
April, 2015
Tokenization
Entity & Relationship Extraction
Language Identification
Anaphora Resolution
Salience Determination
Entity-level Sentiment Analysis
Geospatial Tagging & Resolution
MEET ROSOKA
Turn Big Data in to smart
information with Rosoka.
Start with unstructured
documents in the most
popular formats and Rosoka
will glean and connect the
important information.
SCALABLE PORTABLE MULTILINGUALRosoka works
with any amount of data.
Use Rosoka on Mac, Windows, or
Linux.
Rosoka understands over 230 languages.
Bonjour
こんにちは
Hello
ENTITY EXTRACTION
Based on the style and tone
of language used in a
document collection, key
things are discovered, along
with their importance and
sentiment.
PERSON
Place
Org
Dates
Phone
Facility
RELATIONSHIPS
Predicate Subject Object
(PSO) statements connect
the key things together.
Rosoka PSO’s are very easy
for triple stores and
visualization tools to use.
PERSON
OrgPlace
Facility
Address
Phone
EmailURL
IDNUM
Money
Measure
Date
IDENTITIES
Rosoka recognizes the
identity of things across
document and language
boundaries through its
understanding of Language
and linguistic context.
BOKO HARAM
Boko Haram
боко харам
보코 +하람
ボコ ·ハラム
博科圣地
בוקו חראם
بوكو حرام
MODULAR
Rosoka plays nice with
others. With a Java API and
REST web service interface,
Rosoka makes it easy to
handle formats like Word,
PDF, and TXT with XML and
JSON outputs. We even
provide sample code to make
it cut-and-paste simple.
www.rosoka.com
Why design every time?
Entities & Triple Store
Full Text Indices
AdminC
olle
ctor
(s)
Dat
a A
cces
s
Scalable Cloud Framework
When you can select options?
www.rosoka.com
Create with off-the-shelf products
Entities & Triple Store
Full Text Indices
Admin
Enterprise scalable technologies. Works on a standard server or massively parallel within the Cloud.
www.rosoka.com
Determine data needs
What data sources do you need to solve your problem?
Search
Discover
Compare/Contrast
Network
Find
Report
Annotate
www.rosoka.com
Choose the analytical actions
What questions do you need to answer to solve your problem?
Search
Discover
Compare/Contrast
Network
Find
Report
Annotate
www.rosoka.com
Present the information
What user experience do you need to solve your problem?
$REDUCE COSTS• Flexible licensing
• No additional modules to buy
• Value in volume
SAVE TIME• Simple integration• Easy to tune• Fast ingest
!AVOID RISK• Less moving parts• Industry standard
APIs• Industry standard
outputs
We like hard problems…Can we help you solve one?
www.rosoka.com
Rosoka Software Inc.
950 Herndon Parkway
Suite 280
Herndon, VA 20170 USA
+1 (703) 391-0381
Backup
www.rosoka.com
Knowledge Acquisition
Compositional
Dynamic
Rote
Nicholas Cage
Julia Roberts
Nicholas Julia
Roberts
Cage
Chinua Achebe
is a
Nigerian author.
Chinua Achebe
Chinua Achebe
www.rosoka.com
Delivery Methods
www.rosoka.com
Direct Licensing• Individual Instance Licenses
– Term or Perpetual license for small to modest number of instances.
• Site Licensing– Term license for an unlimited number
of instances at a given facility or named Cloud.
• Enterprise Licensing– Term license for an unlimited number
of instances within a given organization, regardless of geographical location.
Cloud Licensing• Amazon EC2
– Term license available as a web service from AWS as an AMI.
Reseller Licensing• VAR• OEM
– White Label– Black Label
Development Licensing• Educational
– Term license that covers a pre-determined number of non-production instances for research institutions or universities.
• Integrator– Term license that covers an
unlimited number of non-production instances for use in IRADs, demonstrations, and proof-of-concept projects.
Product Licenses Offered
www.rosoka.com
Feature
Integrated Language ID
Text conversion of DOC, DOCX, PDF, XML, and HTML
Native entity and relationship extraction in over 230 languages
Integrated SALIENCE that provides importance of entity to its document
Integrated POLARITY that provides sentiment of entity to its document
Extensible extraction and relationship ability
Document viewer GUI to see extraction results for extraction and relationship refinement
Machine learning for new entity components
Integrated geotagging ability for PLACE, FACILITY, and GEOCOORDINATE entity types
