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From Knowledge Graphs to
Commonsense Knowledge
Graphs
Dateme Tubotamuno // YOTEL
SLIDESHARE.NET/DATEMETUBOTAMUNO
@DatemeT
Who am I?
KNOWLEDGE GRAPH COMMONSENSE KNOWLEDGE GRAPH
@datemeT #BrightonSEO
KG vs CKG
KNOWLEDGE GRAPHS COMMONSENSE KNOWLEDGE
GRAPHS
@datemeT #BrightonSEO
● Factual
● Unimodal(text)
● Explicit Knowle...
@datemeT #BrightonSEO
KNOWLEDGE GRAPH
@datemeT #BrightonSEO
@datemeT #BrightonSEO
GOOGLE KG Entities
MovieSeries
MusicAlbum
MusicGroup
Organization SportsTeam Event
Place
Person
Vide...
@datemeT #BrightonSEO
GOOGLE KG Search Demo
@datemeT #BrightonSEO
Retrieving the first JSON-LD entry
Entity Type: Person
@datemeT #BrightonSEO
The second JSON-LD entry
Entity Type: Event
@datemeT #BrightonSEO
The third JSON-LD entry
Entity Type: Organisation
@datemeT #BrightonSEO
The fourth JSON-LD entry
Entity Type: Movie
@datemeT #BrightonSEO
@datemeT #BrightonSEO
Bing Entity Search API Demo
@datemeT #BrightonSEO
Bing do not link entities as Google
Entity Type: Person
@datemeT #BrightonSEO
Bing entity API request - Python
Entity Type: Person
@datemeT #BrightonSEO
Livestrong Foundation as a place
& local business by Bing and
Organisation by Google
Entity Type: Pl...
@datemeT #BrightonSEO
COMMONSENSE
KNOWLEDGE GRAPHS
@datemeT #BrightonSEO
Marvin
Minsky
“To build a machine that
truly learns by itself will
require a commonsense
knowledge r...
@datemeT #BrightonSEO
Marvin Minsky
Minsky’s architecture of CK
representation
@datemeT #BrightonSEO
Marvin Minsky
Commonsense knowledge is
defeasible and context dependent.
Blanco, Cankaya and Moldova...
@datemeT #BrightonSEO
Commonsense Knowledge Bases
CYC
WEBCHILD
CONCEPTNET
DESIDERATA
CYC
@datemeT #BrightonSEO
CONCEPTNET
@datemeT #BrightonSEO
WEBCHILD
@datemeT #BrightonSEO
Levels of Commonsense
Knowledge relations
@datemeT #BrightonSEO
Commonsense of Properties
E.g: hasProperty two tires
Commo...
Object Relationss
@datemeT #BrightonSEO
KNOWLEDGE GRAPH
COARSE-GRAINED ENTITY RELATIONS
COMMONSENSE KNOWLEDGE GRAPH
FINE-G...
Graph Theory weights dictate
object relations
@datemeT #BrightonSEO
Relations in ConceptNet
@datemeT #BrightonSEO
ConceptNet Commonsense entity
relations
@datemeT #BrightonSEO
usedFor partOf
hasPrerequisite
hasA derivedFrom
receivesActi...
Webchild Commonsense entity
relations
@datemeT #BrightonSEO
hasShape isMightierThan
moreDangerous
hasTaste evokesEmotion
h...
Different Types of Graph Weights
@datemeT #BrightonSEO
FREQUENCY
RESISTANCEDISTANCE
FLOW
Source for the four types of graph
weights
@datemeT #BrightonSEO
Weight One - Frequency
@datemeT #BrightonSEO
There is frequency in ‘locationOf’
concept relations
@datemeT #BrightonSEO
...frequency in
‘spatialProximityWith’ relations
@datemeT #BrightonSEO
Transport as a concept that
frequently relates with bikes
@datemeT #BrightonSEO
NLTK and the Wordnet extension
to identify entity relations
@datemeT #BrightonSEO
SpaCy’s entity visualisation to
identity relations
@datemeT #BrightonSEO
Google’s NLP entity visualisation
to identity bike relations
@datemeT #BrightonSEO
Bike shorts and tricks are entities
that frequently occur with a bike
@datemeT #BrightonSEO
Weight Two - Flow
@datemeT #BrightonSEO
When ‘isA’ relations between
objects indicate flow
@datemeT #BrightonSEO
‘effectsOf’ relations highlight flow
between concepts
@datemeT #BrightonSEO
There is object flow in ‘requires’
relations
@datemeT #BrightonSEO
An object flow in ‘makesYou’ and
‘typeOf’ relations?
@datemeT #BrightonSEO
You’ve got object flow in
‘makersOf’ or metonymy relations!
@datemeT #BrightonSEO
What bicycle is ‘usedFor’ has flow
in relations
@datemeT #BrightonSEO
Some flow in ‘capableOf’ relations
for dads
@datemeT #BrightonSEO
Skiing flows with risk and
challenge
@datemeT #BrightonSEO
Weight Three - Distance
@datemeT #BrightonSEO
Distance is established in a
‘fasterThan’ relations
@datemeT #BrightonSEO
Distance in ‘muchSmallerThan’
relations
@datemeT #BrightonSEO
Riding a bike is distant from
obtaining a license
@datemeT #BrightonSEO
Weight Four - Resistance
@datemeT #BrightonSEO
@datemeT #BrightonSEO
Dogs resist fleas in a
‘doesn’tWant’ relations
@datemeT #BrightonSEO
More resist weight in
‘doesn’tWant’ relations
@datemeT #BrightonSEO
…elements of resistance in
‘capableOf’ relations
@datemeT #BrightonSEO
…chunks of resistance in
‘usedOf’ relations
@datemeT #BrightonSEO
Riding a bike resists
reading a book
@datemeT #BrightonSEO
WRAPPING IT ALL UP
@datemeT #BrightonSEO
CKGs can be used in your audience
strategy
Guides your keyword and content
strategy
@datemeT #BrightonSEO
...looking at entities that frequently exists alongside you...
CKG inspires deeper content
structures
@datemeT #BrightonSEO
Using wordnet ontology to inform
site architecture
@datemeT #BrightonSEO
Hypernym
Hyponym
Meronym
Class
Concept
Properties...
@datemeT #BrightonSEO
CKG enables culturally relevant ads
● Boxes of corned beef
are token of treasure
to Samoans
● Popula...
@datemeT #BrightonSEO
@datemeT #BrightonSEO
Movie scripts as great source
of CKG
@datemeT #BrightonSEO
Sequence of event scripts as great
source for CKG
@datemeT #BrightonSEO
Narrative journalism as rich source
for CKGs
@datemeT #BrightonSEO
Text from novels can enrich a CKGs
@datemeT #BrightonSEO
Semantic Scholar has great CKG
papers
@datemeT #BrightonSEO
A great PHD Thesis on
Commonsense Knowledge
Thank You!
Dateme Tubotamuno // YOTEL
SLIDESHARE.NET/DATEMETUBOTAMUNO
@DatemeT
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From knowledge graph to commonsense knowledge graph brighton seo

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Knowledge Graphs have vastly improved search in the age of the semantic web. Here comes Commonsense Knowledge Graphs. A more dynamic version of today’s knowledge graph.

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From knowledge graph to commonsense knowledge graph brighton seo

  1. 1. From Knowledge Graphs to Commonsense Knowledge Graphs Dateme Tubotamuno // YOTEL SLIDESHARE.NET/DATEMETUBOTAMUNO @DatemeT
  2. 2. Who am I? KNOWLEDGE GRAPH COMMONSENSE KNOWLEDGE GRAPH @datemeT #BrightonSEO
  3. 3. KG vs CKG KNOWLEDGE GRAPHS COMMONSENSE KNOWLEDGE GRAPHS @datemeT #BrightonSEO ● Factual ● Unimodal(text) ● Explicit Knowledge ● Surplus knowledge ● Wikipedia & News ● Neutrality ● Freebase & Yago ● Schema simplicity ● Contextual ● Bimodal(text,video) ● Implicit knowledge ● Scarce knowledge ● Narratives ● Bias ● Cyc & ConceptNet ● Schema complexity
  4. 4. @datemeT #BrightonSEO KNOWLEDGE GRAPH
  5. 5. @datemeT #BrightonSEO
  6. 6. @datemeT #BrightonSEO GOOGLE KG Entities MovieSeries MusicAlbum MusicGroup Organization SportsTeam Event Place Person VideoGame TVSeries TVEpisodePeriodical
  7. 7. @datemeT #BrightonSEO GOOGLE KG Search Demo
  8. 8. @datemeT #BrightonSEO Retrieving the first JSON-LD entry Entity Type: Person
  9. 9. @datemeT #BrightonSEO The second JSON-LD entry Entity Type: Event
  10. 10. @datemeT #BrightonSEO The third JSON-LD entry Entity Type: Organisation
  11. 11. @datemeT #BrightonSEO The fourth JSON-LD entry Entity Type: Movie
  12. 12. @datemeT #BrightonSEO
  13. 13. @datemeT #BrightonSEO Bing Entity Search API Demo
  14. 14. @datemeT #BrightonSEO Bing do not link entities as Google Entity Type: Person
  15. 15. @datemeT #BrightonSEO Bing entity API request - Python Entity Type: Person
  16. 16. @datemeT #BrightonSEO Livestrong Foundation as a place & local business by Bing and Organisation by Google Entity Type: Place and local business
  17. 17. @datemeT #BrightonSEO COMMONSENSE KNOWLEDGE GRAPHS
  18. 18. @datemeT #BrightonSEO Marvin Minsky “To build a machine that truly learns by itself will require a commonsense knowledge representing the kinds of things even a small child already knows.” “One problem is much of our commonsense knowledge information has never been recorded at all because it has always seemed so obvious we never thought of describing it.”
  19. 19. @datemeT #BrightonSEO Marvin Minsky Minsky’s architecture of CK representation
  20. 20. @datemeT #BrightonSEO Marvin Minsky Commonsense knowledge is defeasible and context dependent. Blanco, Cankaya and Moldovan The fact that birds have feathers and ice is cold seems trivially true. Yet most machine-readable sources of knowledge either lack such commonsense facts entirely or have limited cover age Tandon, Melo and Weikum There is a strong need for computers having commonsense knowledge to support the interpretation of user input in search, dialogs, etc.. Digital assistants like Amazon Echo, Microsoft Cortana, Apple Siri or Google Now would especially benefit from knowledge about human activities. Tandon, Melo, De and Weikum Publicly available knowledge bases (KBs) like DBpedia, Freebase, Wikidata, and Yago and commercial KBs at Google, Microsoft, Bloomberg, etc. focus on facts about individual entities, hardly containing any commonsense knowledge at all. Tandon, Melo, De and Weikum Excerpts on Commonsense Knowledge
  21. 21. @datemeT #BrightonSEO Commonsense Knowledge Bases CYC WEBCHILD CONCEPTNET DESIDERATA
  22. 22. CYC @datemeT #BrightonSEO
  23. 23. CONCEPTNET @datemeT #BrightonSEO
  24. 24. WEBCHILD @datemeT #BrightonSEO
  25. 25. Levels of Commonsense Knowledge relations @datemeT #BrightonSEO Commonsense of Properties E.g: hasProperty two tires Commonsense of Objects bike slower than car Commonsense of Sequence Activities: ride a bike (prev and next)
  26. 26. Object Relationss @datemeT #BrightonSEO KNOWLEDGE GRAPH COARSE-GRAINED ENTITY RELATIONS COMMONSENSE KNOWLEDGE GRAPH FINE-GRAINED ENTITY RELATIONS
  27. 27. Graph Theory weights dictate object relations @datemeT #BrightonSEO
  28. 28. Relations in ConceptNet @datemeT #BrightonSEO
  29. 29. ConceptNet Commonsense entity relations @datemeT #BrightonSEO usedFor partOf hasPrerequisite hasA derivedFrom receivesAction MadeOf typeOf hasSubeventhasFirstSubeventmadeOf motivatedByGoal capableOf causesDesire locatedNear hasLastSubevent E.g of entity relations: Part-Whole and spatial
  30. 30. Webchild Commonsense entity relations @datemeT #BrightonSEO hasShape isMightierThan moreDangerous hasTaste evokesEmotion hasSubstance moreSensitive moreExpensive moreEffectivecheaperThanmuchCooler muchSlower betterThan inSpatialProximity lessDense moreAdaptable E.g of entity relations: comparative
  31. 31. Different Types of Graph Weights @datemeT #BrightonSEO FREQUENCY RESISTANCEDISTANCE FLOW
  32. 32. Source for the four types of graph weights @datemeT #BrightonSEO
  33. 33. Weight One - Frequency @datemeT #BrightonSEO
  34. 34. There is frequency in ‘locationOf’ concept relations @datemeT #BrightonSEO
  35. 35. ...frequency in ‘spatialProximityWith’ relations @datemeT #BrightonSEO
  36. 36. Transport as a concept that frequently relates with bikes @datemeT #BrightonSEO
  37. 37. NLTK and the Wordnet extension to identify entity relations @datemeT #BrightonSEO
  38. 38. SpaCy’s entity visualisation to identity relations @datemeT #BrightonSEO
  39. 39. Google’s NLP entity visualisation to identity bike relations @datemeT #BrightonSEO
  40. 40. Bike shorts and tricks are entities that frequently occur with a bike @datemeT #BrightonSEO
  41. 41. Weight Two - Flow @datemeT #BrightonSEO
  42. 42. When ‘isA’ relations between objects indicate flow @datemeT #BrightonSEO
  43. 43. ‘effectsOf’ relations highlight flow between concepts @datemeT #BrightonSEO
  44. 44. There is object flow in ‘requires’ relations @datemeT #BrightonSEO
  45. 45. An object flow in ‘makesYou’ and ‘typeOf’ relations? @datemeT #BrightonSEO
  46. 46. You’ve got object flow in ‘makersOf’ or metonymy relations! @datemeT #BrightonSEO
  47. 47. What bicycle is ‘usedFor’ has flow in relations @datemeT #BrightonSEO
  48. 48. Some flow in ‘capableOf’ relations for dads @datemeT #BrightonSEO
  49. 49. Skiing flows with risk and challenge @datemeT #BrightonSEO
  50. 50. Weight Three - Distance @datemeT #BrightonSEO
  51. 51. Distance is established in a ‘fasterThan’ relations @datemeT #BrightonSEO
  52. 52. Distance in ‘muchSmallerThan’ relations @datemeT #BrightonSEO
  53. 53. Riding a bike is distant from obtaining a license @datemeT #BrightonSEO
  54. 54. Weight Four - Resistance @datemeT #BrightonSEO
  55. 55. @datemeT #BrightonSEO Dogs resist fleas in a ‘doesn’tWant’ relations
  56. 56. @datemeT #BrightonSEO More resist weight in ‘doesn’tWant’ relations
  57. 57. @datemeT #BrightonSEO …elements of resistance in ‘capableOf’ relations
  58. 58. @datemeT #BrightonSEO …chunks of resistance in ‘usedOf’ relations
  59. 59. @datemeT #BrightonSEO Riding a bike resists reading a book
  60. 60. @datemeT #BrightonSEO WRAPPING IT ALL UP
  61. 61. @datemeT #BrightonSEO CKGs can be used in your audience strategy
  62. 62. Guides your keyword and content strategy @datemeT #BrightonSEO ...looking at entities that frequently exists alongside your main concept- both words that flow and resists
  63. 63. CKG inspires deeper content structures @datemeT #BrightonSEO
  64. 64. Using wordnet ontology to inform site architecture @datemeT #BrightonSEO Hypernym Hyponym Meronym Class Concept Properties Wheeled Vehicle Bike Bicycle Wheel
  65. 65. @datemeT #BrightonSEO CKG enables culturally relevant ads ● Boxes of corned beef are token of treasure to Samoans ● Popular at main events like weddings, birthdays and funeral ● Also symbols of appreciation ● Alternatives to the extinct treasure of fine mats Corned Beef and Samoans
  66. 66. @datemeT #BrightonSEO
  67. 67. @datemeT #BrightonSEO Movie scripts as great source of CKG
  68. 68. @datemeT #BrightonSEO Sequence of event scripts as great source for CKG
  69. 69. @datemeT #BrightonSEO Narrative journalism as rich source for CKGs
  70. 70. @datemeT #BrightonSEO Text from novels can enrich a CKGs
  71. 71. @datemeT #BrightonSEO Semantic Scholar has great CKG papers
  72. 72. @datemeT #BrightonSEO A great PHD Thesis on Commonsense Knowledge
  73. 73. Thank You! Dateme Tubotamuno // YOTEL SLIDESHARE.NET/DATEMETUBOTAMUNO @DatemeT
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Knowledge Graphs have vastly improved search in the age of the semantic web. Here comes Commonsense Knowledge Graphs. A more dynamic version of today’s knowledge graph.

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