5. Businesses are threatened by the BIG DATA explosion
A substantial part of this data consists of text
Social Nets
Blogs
Documents
Numbers
Webpages
Email
News
6. Semantic processing of natural language
becomes essential for businesses...
(1) to locate documents
(2) to find web content
(3) to match the skills of people
(4) to identify and select products
(5) to monitor competitors
(6) to file business information
(7) to drive product innovation
(8) to track customer satisfaction
(9) to avoid duplication of work
(10) to advertise on the Internet
(11) to mine for evidences
(12) to improve security
7. The Downsides
of the state-of-the-art
High quality semantic systems are:
•Hard to build (sometimes impossible)
•Inaccurate and fragile (in real-world use)
•Expensive to buy (licenses and/or services)
•Tricky to integrate (setup, tuning, training ...)
•Laborious to run (metadata management)
•Time-consuming to maintain (dict., ontologies)
10. cat
cat + dog
dog
The fingerprints allow direct semantic comparison
of the meanings of any two words
11. cat
cat + dog
Home
and family
aspects
dog
Biology
aspects
Leisure
and free
time
aspects
Cat
specific
Dog
specific
Social
aspects
The CEPT-Retina shows
thousands of semantic relations for any two words
13. Example documents
provided by user for
a specific field of
interest
document fingerprints
profile fingerprint
Document Fingerprints are aggregated into
User-Profile Fingerprints
14. Similar Documents
Result-Set
query fingerprint
Similarity Engine
Profile FP
Profile Ranking
Fingerprints of
indexed document
collection
The high performance similarity algorithm provides
the Semantic Search Engine functionality
16. CEPT technology is offered as cloud based SaaS
✓It is simple to use, efficient and cost-effective
✓It can be easily embedded in diverse applications
✓It is licensed to developers as a web-service API
✓It is offered as transaction-based subscription-model
17. Strategy to ensure developer adoption
✓
No Natural Language Processing experience needed by
developers
✓
Existing domain developers can immediately start using it
✓
Business people can be part of the development team
✓
CEPT-API is offered as 12 different flavors, each one optimized for
a specific business case
18. Overview 12 Disciplines of Information Retrieval
1.
2.
3.
4.
5.
Enterprise Search - Document Management
Website Search - Marketing, Sales, Support
Profile Matching - Recruiting, Marketplaces, Dating
Product Search - E-Commerce, Retail, Wholesale
Alerting Systems - Competitive Intelligence
6.
7.
8.
9.
Content Classification - News Filtering, Document Classifier
Information Discovery - Innovation Support
Opinion Mining - Social Network / Peer groups Analysis
Office Automation - Intelligent Office Productivity System
10. Keyword Generation - Search Engine Optimization
11. Forensic Text Analytics - Evidence Mining, Plagiarism Detection
12. Intelligence & Security - Real Time Message Monitoring
19. CEPT Service Technology Stack
Demos
cortical.io
Demos
Example Code Example Code
and
and
Widgets
Widgets
Tutorials
Discipline 2
Website
Search API
CEPT API
Retina
En
De
Fr
Sp
Chem
Med
Bio
Pharm
Monitoring
Expression Engine
Accounting
Demos
Example Code Example Code
and
and
Widgets
Widgets
...
Tutorials
Discipline 1
Enterprise
Search API
Demos
Tutorials
Tutorials
Discipline 11
Forensic
Analytics API
Discipline 12
Intelligence
Security API
Similarity Engine
Key Management
Identity Management
Service Management Layer (3Scale)
Elastic Beanstalk
Dynamo DB
Simple Workflow Service
Cloud Infrastructure (Amazon)
Elastic Block Store
22. ✓
✓
✓
✓
Lowering Cost: The most expensive part of producing language learning
materials are the pedagogic editors. Phase-6 can lower these costs by
maintaining a repository of 1Billion high quality example sentences, that are
quality checked using the CEPT-API.
Improve Learner Motivation: The learner can choose a topic of interest
and all the examples, exercises and tests are generated within this topic using
the CEPT-Retina.
Individualized Tests: Traditional e-learning systems just discriminate
between „right“ and „wrong“. Using the CEPT-API allows Phase-6 to give
more specific answers like „nearly right“ or „you are on your way“.
Intelligent Tutoring: Using the CEPT-API the Phase-6 system can give
intelligent hints, depending on the learners chosen topic, his skill level and the
kind of error he made before.
