Within the last few years we see and ever increasing demand for more accurate user specific content which on the other hand overwhelms content providers.This is where smart publishing platforms come into play. They aim at bringing the right content at the right time – digested, easy to comprehend, fast to navigate, and tailored to the readers’ personal interests. The technologies that power them help publishers to automate the metadata enrichment process, making it more consistent, accurate and rich.

1. Impelsys – Ontotext: Semantic Webinar Series - Part1
WHY SEMANTICS MATTER?
ADDING THE SEMANTIC EDGE TO YOUR CONTENT,
RIGHT FROM AUTHORING TO DELIVERY
March 2016

2. We will talk about…
 Introduction
 About Impelsys and Ontotext
 About Semantic Webinar Series
 Semantics & Technology
 Business Cases for Semantic Technology
 Semantic Solutions for Publishers
 Semantic Technology Adoption Roadmap
 Questions & Answers

3. Impelsys & Ontotext: Partnership
Publishing x Technology | Content x Semantics
Introduction

4. Impelsys - Ontotext Partnership
 Offer semantically enriched solutions to publishers
 Authoring & Editorial workflows
 Semantic Curation
 Transformation services
 Delivery solutions
 Through Impelsys’ iPublishCentral solution with
Ontotext’s Semantic Technologies

5. About Ontotext
16 YEARS
100%SEM.TECH. FOCUS
350+ EMPLOYEES
Sofia HEAD QUARTERS
• Semantic graph database engine combined
with Content management solutions
• Interlinking text and data to unveil meaning
• Delivering unmatched search and exploration
Sofia R&D
• Global team, local sales & accounts support
• R&D Center at Sofia, Bulgaria
• Serving BBC, FT, Wiley, Oxford UP, IET, …
• SaaS infrastructure on Amazon and on premise
New York Sofia London Frankfurt

6. Ontotext Capabilities
 Integrate proprietary databases and
taxonomies with Linked Data
 Infer facts and relationships
 Interlink text and with big data
 Better content analytics,
retrieval and
recommendation

7. About Impelsys
15 YEARS
100%PUBLISHING &
EDUCATION
FOCUS
250+ EMPLOYEES
New York HEAD QUARTERS
• Digital Product Development
• Content Delivery Solution – iPublishCentral
• Authoring & Editorial Workflows
• Mobility & Bespoke solutions
• DRM & Analytics
Bangalore R&D
• Global team, local sales & accounts support
• Innovation Hub & Global Delivery Center at
Bangalore
• Technology partners
• Cutting-edge infrastructure on Amazon &
Rackspace
New York Bangalore London SFO

8. iPublishCentral – Global Reach
Millions
Of B2B
Users
Students
Instructors
Professionals
15,000
LIBRARIES
Million+
B2C Users
LIVE
PORTALS
100+
TITLES
250,000
Global
Customer Presence

9. Concept + Relationship
Context + Constraints
Semantics Technology
Ontologies
Semantics
Mapping
Knowledge

10. Common Terminology
Idea, Notion
Concept
Connection /
associations between
concepts or entities
Relationship
Study of meaning
through context,
concepts & relationships
Semantics
Consistent model to represent concepts and
relationships within the context of the subject.
Like a dictionary running on steroids!
Ontology
Collection of facts based
on Ontology
Knowledgebase/
Semantic Repository

11. Semantics – Represented Using RDF and RDFS
Resource Description Framework (RDF):
- An infrastructure for encoding, exchanging and distributing metadata
RDFS is a schema language that allows us to create vocabularies
Subject Object
Predicate
RDF Triplestore
Impelsys Ontotext
arePartners locatedInlocatedIn
Bangalore Sophia
Company
City
typeOf typeOf
iPublishCentral GraphDB
usedBy
productOf productOf
typeOf
typeOf

12. The semantic
approach to
managing data
provides solutions
that fuse manual
content creation and
curation with smart
automated processes
for aggregating,
repurposing and
reusing content.
Semantic Asset Representation

13. XYZ announced profits in Q3, planning to build a
$120M plant in BULGARIA , and more and more and
more and more text
Location
City
UK
London Bulgaria
Countrytype
type type
type
locOn
partOf
establOn
03/11/1978
Company
XYZ
Semantic Repository
With the help of
structured data and
other semantic web
technologies,
content is sliced and
diced into machine-
readable chunks to
be further
reassembled at the
publisher’s wish
Semantic Enrichment of Metadata

14. Unstructured
Content Content Asset
Semantics Drives Valuable Transformation

15. Semantic Technology in Action

16. Business Cases for Semantic Technology

17. Value Drivers
 Efficiency
 Your workflow, less cost and resources
 Increased productivity and bottom line
 Enhancement
 Your workflow, enhanced scalability and flexibility
 Increased quality and top line
 Strategic Advantage
 Your workflow, new revenue streams
 Improved competitiveness and top line
Value is a measure of worth or desirability
Product development
Innovative, industry-
leading products
Content delivery

18. Value Creation Cycles
Know
Learn
ReasonInfer
Create
Exploration
ResearchDiscovery
Semantic Technology enhances
capability, performance, user experience and lifecycle economies of systems
Content Development Content Consumption

19. Business Impact of Semantic Technology
Various studies over last decade have shown following figures:
Cost Savings Return on Assets Return on Investment
20-80% less efforts,
20-90% less cycle time,
30-60% less inventory,
20-75% less OPEX,
20-85% less dev time
50-500% Quality gain,
2-50x Productivity gain,
20-10x Capacity gain,
2-25x Return on Assets
2-30x Revenue growth,
20-80% reduction in TCO,
3-12 month positive ROI,
2-300x ROI in 3 years
* Source: TopQuadrant

20. Use case: Global STM Publisher
 Challenges: STM publishers have
hard time:
 managing their portfolio of journals, research
papers, articles
 leveraging content delivery for better search
products
 enable new revenue opportunities
 Solution
 Semantic search using existing taxonomies
 Wider global knowledge graph and content
 Intelligent citations and data provenance
 Finer grain of understanding of content for
increased content availability
 Repurpose and repackage of content assets
dynamically and automatically

21. Contextual Authoring
Semantic Enrichment & Curation
Semantic Publishing & Delivery
Semantic Solutions for Publishers
User-specific
Personalized
Content Stream
Authored
Content
Technology and Workflow provided by:
Ontotext’s Semantic Publishing Platform + Implesys’ iPublish Central

22. Common Publishing Problems
 Content Authoring
 How to speed-up the content authoring life-cycle with consistent quality?
 How to enable content re-use by providing Authors with relevant material?
 How to leverage Knowledge Base generated through SME interactions?
 How to create higher value content at less cost and time?
 Search and Discoverability
 How can the search results be more relevant?
 How content can be enriched on the fly?
 How to make the content more discoverable?
 Maximizing Asset Investments
 New ways of creating and consuming content
 Generating new revenue streams from existing content
 Leverage Linked Open Data and create solutions previously not possible
Bottom-line
impact
Strategic
impact
Top-line
impact

23. Typical publishing workflow:
Editorial Process
Enrichment/ Tagging/
Output Generation

24. Semantic publishing workflow: &

25. Semantic Publishing Workflow – End-to-End:
&
Authoring Editorial Production Delivery
Lookup
related
information
Add
references &
relationships
Add
meanings &
contexts
Tag content
with context
& relations
Structure &
organize –
improve flow
Link across
products &
ancillary
material
Create new
products on
the fly
Transform
content
Preserve tags
and semantic
information
Contextual
semantic
search
Show related
material
Personalized
content
streams

26. Semantic Edge through Structuring Knowledge, Adding Intelligence and Enabling Rapid Discovery
How does Semantics Add Value and
Monetize Educational Content
Standard Search Advanced Exploration Semantic Exploration
S
U
B
J
E
C
T
S
U
B
J
E
C
T
S
U
B
J
E
C
T
CONTEXT CONTEXT CONTEXT
Querying through keywords Slice and dice using facets Discovery through conceptual linking
Semantic Search and Discovery

27. Semantic Content Authoring
ar far away, behind the word
mountains, far from the countries
Vokalia and Consonant
ar far away, behind the word
mountains, far from the countries
Vokalia and Conso
ar far away, behind the word mountains, far from the
countries Vokalia and Consonantia, there live the blind
texts. Separated they live in Bookmarksgrove right at the
coast of the Semantics, a large language ocean.
A small river named Duden flows by their place and
supplies it with the necessary regelialia. It is a
paradisematic country, in which roasted parts of
sentences fly into your mouth.
ar far away, behind the word
mountains, far from the countries
Vokalia and Conso
Content Store
Semantic Database
WWW
writes
pulls relevant
content
pulls relevant
terms and entitites

28. Semantic Content Curation and Monitoring

29. Quality Assurance

30. Behavioural
and
Contextual
SimilarityReads
User Profile
Personalised Recommendation

31. Benefits for End userBenefits to End Users: &
 Just-in-time information from various authorized journal,
textbooks and other resources
 Improved decision making
 Discovery of new knowledge through aggregation and synthesis
 Better discovery of information through
 Faceted search
 Task-specific results
 Personalized results
 Return useful data when things are looked up
 Document sections providing answers to a given query

32. Semantic Technology Adoption Roadmap

33. Semantic Technology Adoption Roadmap:
&
• Subject domain
scope
• Knowledge
Model
• Build Ontology
• Semantic-
aware delivery
solution
• Integrated
resources
• Use & monitor
• Add to
ontology
• Measure gains
• Identify New
Needs
• Add
Capabilities
• Expand Scope
• Optimize
Discover
Design &
Develop
Operate &
Maintain
Expand
4 weeks 4 – 6 weeks 4 weeks

34. Semantic Technology Lifecycle:
&
• Problem statement
• Identify and Analyze
requirements
• Derive Specifications
• Map Ontology
• Create business case
• Build Business Ontology
• Develop Semantic
solutions
• Connect resources
• Integrate and Test
• Deploy
• Use/ Operate
• Monitor
• Measure performance
• Maintain & Support
• Identify New Needs
• Add Capabilities
• Expand Scope
• Optimize
 Explicit business case,
Knowledge model,
Interrelated data
identified
 Legacy value preserved
 Make/Buy/Rent/Share
options
 Flexible, Federated
architecture
 Less time/ cost to
prototype
 Rapid integration through
Business Ontology
 Enterprise view through
integrated solutions
 Reduced TCO
 Faster time-to-market
 Rapid development
 Reduced Risk
 Faster and better
decision making
 Productivity gains
 Improved Quality and
Reliability
 Better UI and UX
 Reduced OPEX
 Reduced TCO
 Greater agility
 Strategic competitive
advantage
 Real-time
Optimization
 Rapid deployments
 Reduced Risks
 Enhanced ROI
Discover
Design &
Develop
Operate &
Maintain
Expand

35. Meet us at the London Book Fair

36. Benefits for End userWe would love to meet you!
 You are most welcomed to visit us at the coming LBF
 Impelsys stand – Booth Number 3B11, Level 1, Tech Area
 Ontotext stand – Booth Number 3C10, Level 1, Tech Area
 Join us for our speaking sessions:
 12th April, 10:30am (Tue) – by Stefan Kend
 Transformation of publishing: Reading to Learning
 13th April, 11:00am (Wed) – by Sameer Shariff & Georgi Georgiev
 Why semantics matter? Adding the semantic edge to your content, right
from authoring to delivery
 14th April, 11:30am (Thur) – by Georgi Georgiev
 Metadata Enrichment in Publishing: Boosting Productivity and Increasing
User Engagement

37. Benefits for End userGet in touch with us!
 Impelsys:
 Corporate website: www.impelsys.com
 Product website: www.ipublishcentral.com
 Portals powered by iPublishCentral: www.elsevier-etextbooks.com ebooks.aao.org/
 Connect with us: twitter.com/impelsys www.linkedin.com/company/impelsys
 Ontotext:
 Corporate websites: www.ontotext.com
 Semantic News Portal Demo- http://now.ontotext.com
 Semantic Tagging Demo – http://tag.ontotext.com
 Start using GraphDB and text-mining with S4 in the cloud - http://s4.ontotext.com
 Connect with us: info@ontotext.com, @ontotext

38. Questions & Answers