Personalized content recommendation systems enable users to overcome the information overload associated with rapidly changing deep and wide content streams such as news. This webinar discusses Ontotext’s latest improvements to its Dynamic Semantic Publishing (DSP) platform NOW (News on the Web). The Platform includes social data mining, web usage mining, behavioral and contextual semantic fingerprinting, content typing and rich relationship search.

1. Jem Rayfield, March, 2017
Smarter Content
with Dynamic
Semantic Publishing

2. Outline
What is Dynamic Semantic Publishing [DSP]
Who is using the DSP Approach
How can I get DSP
Recommendation
Smart search

3. What is DSP?

4. Overview
“DSP uses linked data technology to automate the
aggregation, publishing and re-purposing of
interrelated content objects according to an
ontological domain-modelled information
architecture, providing a greatly improved user
experience and high levels of user engagement”

5. Architecture
Unstructured Content
Users + Events
Content
Search
Annotation
User Events
Text Analytics
Recommendation
Knowledge Graph
Semantic
Fingerprint
Structured
Reference data
DSP APIs Visualisations

6. Components
Content Indexing Search Domain Vocabulary Users + Events Text Analytics [TA] RecommendationContent Annotation
Elastic
Search
GraphDB

7. Content Vocabulary Annotation Graph
Content
Apple
Organisation
SamsungAnnotation
textpos:123,142
relevance:56%
mentions
Annotation
textpos:123,142
relevance:68%
about
Tim Cook Person
target
target
tag
tag
ceo
type
type
competitor
Annotation
textpos:123,142
relevance:87%
about
target
tag
USA
NASDAQ
Computer
Hardware
location
exchange
sector

8. Graph DB

9. Graph DB

10. Graph DB

11. TA: Vocabulary Aware
Semantic Disambiguation
GraphDB
Vocabulary
Vocabulary Gazetteer
Disambiguation
NLP Pipeline
Language Detection
POS
...
...
...
Relevance Ranking
...
Dynamic
Vocabulary
Get
Suggestions
Annotate
Content
Apple : Organisation
Tim Cook : Person, CEO
Tim Cook : Person, Footballer
Samsung : Organisation
Apple : Organisation
Tim Cook : Person, CEO
Tim Cook : Person, Footballer
Samsung : Organisation
87% - Tim Cook : Person, CEO
68% - Apple : Organisation
56% - Samsung : Organisation
Apple CEO Tim Cook
was at a conference
with the CEO of
Samsung. Tim
explained how smart
phones are changing
the consumer
electronics market.
Suggestions
Entity Detection from Vocab
Disambiguation
Relevance

13. Who is using the DSP
Approach?

15. How can I get DSP?

16. Deployment
on premise hybrid SaaS
+

17. LDSR out of the box
Business
Domain
Graph and
Text Analytics
Life Science
Domain
Graph and
Text Analytics
Customer/Client
specific Domain
Graph and Text
Analytics
Out of the Box
LDSR Domain
Graph

18. Future…..
fork
Developer
+ Domain NLP
plugin
+ Domain NLP
plugin
+ Domain NLP
plugin

19. Recommendation

20. Objective
Serve relevant content to increase user
engagement, reach and improve usability

21. Components
Relevance:
(a) relevance with respect to the user's momentary context
(b) relevance with respect to the user (history)
Freshness:
the recency of the proposed content
Popularity:
(a)popularity among peer users (thus becoming part of a collaborative
filtering scheme)
(b)popularity with respect to other content similar to the PageRank
scheme)

22. DSP analyses content
Analytics
APIContent
Concept
Suggestions

23. curl -X GET --header 'Accept: application/vnd.ontotext.ces+xml'
'http://88.99.91.220:9101/worker/extract?url=http%3A%2F%2Fwww.bbc.co.uk%2Fsport%2F
football%2F39262399&debug=false'
Concept Suggestion

24. Concept Suggestion
Analytics
API
Concept
Suggestions
<ExtractionResults>
<mentions>
<mentions>
<name>assistant manager Ray Wilkins</name>
<startOffset>6780</startOffset>
<endOffset>6809</endOffset>
<type>RelationPersonRole</type>
<features>
<roleInst>http://data.ontotext.com/publishing/roles#manager</roleInst>
<personInst>http://ontology.ontotext.com/resource/tsn5dytas6bk</personInst>
<string>assistant manager Ray Wilkins</string>
</features>
</mentions>
<mentions>

25. DSP annotates content with knowledge
Annotation
APIContent
Content
Semantic
Fingerprint

26. DSP Understands content
Content
Knowledge Graph
UK
Apple
Samsung
USA
located in
mentions
about
Tim
Cook
USA
NASDAQ
exchange
headquarters
Tim
Cook
Computer
Hardware
ceo
industry
about
Content

27. Content annotation

28. Content Semantic fingerprint
R(A) = vector of the top N
concepts, weighted with their tf-
idf scores

29. Contextual Recommendation
Contextual
similarity
Contextual
similarity

30. NOW Recommendation

31. API Contextual Recommendation

32. DSP Understands users
1st Party
User Data
Knowledge Graph
User
UK
Apple
Inc
Samsung
USA
NASDAQ
lives in
employed by
interested in
Tim
Cook
Computer
Hardware
located in
headquartered in
exchange
ceo
industry

33. DSP Captures behaviour
Event
APIEvents User
Event
Index

34. DSP Understands behaviour
User
Social
Behaviour
User
content:view
content:scroll
content:dwell
concept:follow
hashtag:follow
tweet:view
User
Behaviour

35. User history (Get User Id)

36. Behavioral recommendation
Reads
Behavioral
similarity

37. Behavioral recommendation
Static Users
Historical
Fingerprint
Dynamic
Transition
Matrix+
Popularity
(Collaborative
filtering)
Freshness
+ +

38. Behavioral + Contextual Recommendation

39. Behavioral + Contextual Recommendation

40. DSP Mines social behaviour
User
Behaviour
Social
APIEvents
User
Event
Index

41. Social mining

42. Social feed

43. Increased Engagement
Content
Knowledge Graph
1st Party
User Data
Knowledge Graph
+
Social
Behaviour
User
Behaviour+ =

44. Smart Search

45. Graph Rank Search
Content
Frank
Lampard
Frank
Lampard
Annotation
Content
Content
Content
Content
tag
target
Annotation
tag
target
Annotation
tag
target
Annotation
tag
target
Football
Player
role
Annotation
tag
target
Football
Player

46. Graph Rank Search
Frank
LampardFootball
Player
Football
Player
Frank
Lampard
profile
profile

47. Graph Rank Search

48. Graph Facet Search

49. Search Service

50. Search Service
{
"concepts": {
"http://ontology.ontotext.com/taxonomy/Person": {
"values": [
{
"uri": "http://ontology.ontotext.com/resource/tsk9k4aunvgg",
"type": null,
"label": "Frank Lampard",
"score": 339,
"image": null
},

51. Concept Service
{"uri": "http://ontology.ontotext.com/resource/tsk9k4aunvgg",
"preferredLabel": "Frank Lampard",
"shortDescription": "English footballer (born 1978)",
"description": "Frank James Lampard (born 20 June 1978) is an English professional footballer who plays as a central
midfielder…….”,
"thumbnailUrl": "http://commons.wikimedia.org/wiki/Special:FilePath/Frank_Lampard_v_PSG_2014.jpg?width=300",
"pictureUrl": "http://commons.wikimedia.org/wiki/Special:FilePath/Frank_Lampard_v_PSG_2014.jpg",
"types": [
"http://ontology.ontotext.com/taxonomy/Thing",
"http://ontology.ontotext.com/taxonomy/Person",
"http://ontology.ontotext.com/taxonomy/Athlete",
"http://ontology.ontotext.com/taxonomy/Concept",
"http://ontology.ontotext.com/taxonomy/Agent"
],
"exactMatch": [
"http://dbpedia.org/resource/Frank_Lampard",
"http://www.wikidata.org/entity/Q41533"

52. Concept Extraction RelationPersonQuotation

53. Concept Extraction RelationPersonQuotation
<startOffset>6206</startOffset>
<endOffset>6749</endOffset>
<type>RelationPersonQuotation</type>
<features>
<personInst>http://ontology.ontotext.com/resource/tsk550fnfym8</personInst>
<subjects>http://ontology.ontotext.com/resource/tslsht48nsw0</subjects>
<subjects>http://ontology.ontotext.com/resource/tslsht48nsw0</subjects>
<quotationStr>
"Lampard says he is very keen on getting into coaching, which is not a path too many English
players of his calibre have taken recently when their playing days ended. Part of that is down to
them having other options. Punditry is one of them and I am sure he would be very good at it -
there would be plenty of people trying to get him to work for them.
"But it would be nice to see someone like Lampard go into the coaching game, with his
intelligence and passion and especially because he wants to test himself as a
manager."</quotationStr>
</features>
</mentions>

54. Content Type Annotations

55. Content Type Search

56. Quotation Search API

57. Experience the power of Dynamic
Semantic Publishing
now.ontotext.com
Thank you!