t^ D î ì í ô W zh: Z E D Z /E', · 2018-02-05 · < v } Á o P ' Z W ] u dKW/ ^ W t, d/^ < EKt>...

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WSDM 2018 J AY P UJARA AND S AMEER S INGH

Transcript of t^ D î ì í ô W zh: Z E D Z /E', · 2018-02-05 · < v } Á o P ' Z W ] u dKW/ ^ W t, d/^ < EKt>...

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WSDM 2018

JAY PUJARA AND SAMEER SINGH

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Introducing Presenters

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Jay Pujara: Research Scientist at USC/ISI

Sameer Singh: Assistant Professor at UCI

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Tutorial Overview

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https://kgtutorial.github.io

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Tutorial Overview

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Part 1: Knowledge Graphshttps://kgtutorial.github.io

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Tutorial Overview

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Part 2: Knowledge Extraction

Part 1: Knowledge Graphshttps://kgtutorial.github.io

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Tutorial Overview

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Part 2: Knowledge Extraction

Part 3:Graph Construction

Part 1: Knowledge Graphshttps://kgtutorial.github.io

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Tutorial Overview

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Part 2: Knowledge Extraction

Part 3:Graph Construction

Part 1: Knowledge Graphs

Part 4: Critical Analysis

https://kgtutorial.github.io

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Tutorial Overview

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Part 2: Knowledge Extraction

Part 3:Graph Construction

Part 1: Knowledge Graphs

Part 4: Critical Analysis

https://kgtutorial.github.io

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Tutorial Overview

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Part 2: Knowledge Extraction

Part 3:Graph Construction

Part 1: Knowledge Graphs

Part 4: Critical Analysis

https://kgtutorial.github.io

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Tutorial Outline1. Knowledge Graph Primer [Jay]

2. Knowledge Extraction Primer [Jay]

3. Knowledge Graph Constructiona. Probabilistic Models [Jay]

Coffee Break

b. Embedding Techniques [Sameer]

4. Critical Overview and Conclusion [Sameer]

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What if I have a question?

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Tutorial Overview

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Part 2: Knowledge Extraction

Part 3:Graph Construction

Part 1: Knowledge Graphs

Part 4: Critical Analysis

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Knowledge Graph PrimerTOPICS:

WHAT IS A KNOWLEDGE GRAPH?

WHY ARE KNOWLEDGE GRAPHS IMPORTANT?

WHERE DO KNOWLEDGE GRAPHS COME FROM?

KNOWLEDGE REPRESENTATION CHOICES

PROBLEM OVERVIEW

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Knowledge Graph PrimerTOPICS:

WHAT IS A KNOWLEDGE GRAPH?WHY ARE KNOWLEDGE GRAPHS IMPORTANT?

WHERE DO KNOWLEDGE GRAPHS COME FROM?

KNOWLEDGE REPRESENTATION CHOICES

PROBLEM OVERVIEW

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What is a knowledge graph?

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What is a knowledge graph?• Knowledge in graph form!

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What is a knowledge graph?• Knowledge in graph form!

• Captures entities, attributes, and relationships

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What is a knowledge graph?• Knowledge in graph form!

• Captures entities, attributes, and relationships

• Nodes are entities

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What is a knowledge graph?• Knowledge in graph form!

• Captures entities, attributes, and relationships

• Nodes are entities

• Nodes are labeled with attributes (e.g., types)

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What is a knowledge graph?• Knowledge in graph form!

• Captures entities, attributes, and relationships

• Nodes are entities

• Nodes are labeled with attributes (e.g., types)

• Typed edges between two nodes capture a relationship between entities

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Example knowledge graph• Knowledge in graph form!

• Captures entities, attributes, and relationships

• Nodes are entities

• Nodes are labeled with attributes (e.g., types)

• Typed edges between two nodes capture a relationship between entities

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personplaceLiverpool

bandBeatles

John Lennon

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Knowledge Graph PrimerTOPICS:

WHAT IS A KNOWLEDGE GRAPH?

WHY ARE KNOWLEDGE GRAPHS IMPORTANT?WHERE DO KNOWLEDGE GRAPHS COME FROM?

KNOWLEDGE REPRESENTATION CHOICES

PROBLEM OVERVIEW

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Why knowledge graphs?• Humans:

•Combat information overload•Explore via intuitive structure•Tool for supporting knowledge-driven tasks

• AIs:•Key ingredient for many AI tasks•Bridge from data to human semantics•Use decades of work on graph analysis

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Applications 1: QA/Agents

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Applications 2: Decision Support

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Applications 3: Fueling Discovery

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Knowledge Graphs & Industry•Google Knowledge Graph

• Google Knowledge Vault

•Amazon Product Graph•Facebook Graph API•IBM Watson•Microsoft Satori

• Project Hanover/Literome

•LinkedIn Knowledge Graph•Yandex Object Answer•Diffbot, GraphIQ, Maana, ParseHub, Reactor Labs,

SpazioDati27

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Knowledge Graph PrimerTOPICS:

WHAT IS A KNOWLEDGE GRAPH?

WHY ARE KNOWLEDGE GRAPHS IMPORTANT?

WHERE DO KNOWLEDGE GRAPHS COME FROM?KNOWLEDGE REPRESENTATION CHOICES

PROBLEM OVERVIEW

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Where do knowledge graphs come from?

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Where do knowledge graphs come from?• Structured Text

◦ Wikipedia Infoboxes, tables, databases, social nets

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Where do knowledge graphs come from?• Structured Text

◦ Wikipedia Infoboxes, tables, databases, social nets

• Unstructured Text◦ WWW, news, social media,

reference articles

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Where do knowledge graphs come from?• Structured Text

◦ Wikipedia Infoboxes, tables, databases, social nets

• Unstructured Text◦ WWW, news, social media,

reference articles

• Images

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Where do knowledge graphs come from?• Structured Text

◦ Wikipedia Infoboxes, tables, databases, social nets

• Unstructured Text◦ WWW, news, social media,

reference articles

• Images

• Video◦ YouTube, video feeds

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Knowledge Graph PrimerTOPICS:

WHAT IS A KNOWLEDGE GRAPH?

WHY ARE KNOWLEDGE GRAPHS IMPORTANT?

WHERE DO KNOWLEDGE GRAPHS COME FROM?

KNOWLEDGE REPRESENTATION CHOICES

PROBLEM OVERVIEW

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Simon&NewellGeneral Problem

Solver

McCarthyFormalizing

Commonsense

Hayes&McCarthyFrame Problem

QuillianSemantic Networks

ConceptNet

BrooksSubsumption

Minsky, FilmoreFrames

McCulloch&Pitts

Artificial Neurons

Minsky&Pappert

“Perceptrons”SystematicityDebate

2000 1990 1980 1970 1960 1950 19402000 1990 1980 1970 1960 1950 1940

SHRUTI

BobrowSTUDENT

WinogradSHRDLU

Rumelhart et alBackPropagationSeries of Neural-

Symbolic Models

Description Logic

LenantCyc

SLIDE COURTESY OF DANIEL KHASHABI

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Knowledge Representation•Decades of research into knowledge representation

•Most knowledge graph implementations use RDF triples• <rdf:subject, rdf:predicate, rdf:object> : r(s,p,o)• Temporal scoping, reification, and skolemization...

•ABox (assertions) versus TBox (terminology)

•Common ontological primitives• rdfs:domain, rdfs:range, rdf:type, rdfs:subClassOf, rdfs:subPropertyOf, ...• owl:inverseOf, owl:TransitiveProperty, owl:FunctionalProperty, ...

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Semantic Web•Standards for defining and exchanging knowledge

• RDF, RDFa, JSON-LD, schema.org• RDFS, OWL, SKOS, FOAF

•Annotated data provide critical resource for automation

•Major weakness: annotate everything?

37"LINKING OPEN DATA CLOUD DIAGRAM 2014, BY MAX SCHMACHTENBERG, CHRISTIAN BIZER, ANJA JENTZSCHAND RICHARD CYGANIAK. HTTP://LOD-CLOUD.NET/"

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Information Extraction from Text•Focus of this tutorial!

•Answer to the knowledge acquisition bottleneck

•Many challenges:• chunking• polysemy/word sense disambiguation• entity coreference• relational extraction

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Knowledge Graph PrimerTOPICS:

WHAT IS A KNOWLEDGE GRAPH?

WHY ARE KNOWLEDGE GRAPHS IMPORTANT?

WHERE DO KNOWLEDGE GRAPHS COME FROM?

KNOWLEDGE REPRESENTATION CHOICES

PROBLEM OVERVIEW

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What is a knowledge graph?• Knowledge in graph form!

• Captures entities, attributes, and relationships

• Nodes are entities

• Nodes are labeled with attributes (e.g., types)

• Typed edges between two nodes capture a relationship between entities

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Basic problems

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Basic problems

• Who are the entities (nodes) in the graph?

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Basic problems

• Who are the entities (nodes) in the graph?

• What are their attributes and types (labels)?

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Basic problems

• Who are the entities (nodes) in the graph?

• What are their attributes and types (labels)?

• How are they related (edges)?

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Basic problems

• Who are the entities (nodes) in the graph?

• What are their attributes and types (labels)?

• How are they related (edges)?

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Knowledge Graph Construction

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Knowledge Extraction

Graph Construction

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Two perspectivesKnowledge Extraction• Who are the entities

(nodes) in the graph?• Named Entity Recognition • Entity Coreference

• What are their attributes and types (labels)?• Named Entity Recognition

• How are they related (edges)?• Relation Extraction• Semantic Role Labeling

Graph Construction• Who are the entities

(nodes) in the graph?• Entity Linking• Entity Resolution

• What are their attributes and types (labels)?• Collective Classification

• How are they related (edges)?• Link Prediction

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Tutorial Outline1. Knowledge Graph Primer [Jay]

2. Knowledge Extraction Primer [Jay]

3. Knowledge Graph Constructiona. Probabilistic Models [Jay]

Coffee Break

b. Embedding Techniques [Sameer]

4. Critical Overview and Conclusion [Sameer]

48


EKT ETKİNLİK PARAMETRELERİNİN DEĞERLENDİRİLMESİ

EKT ETKİNLİK PARAMETRELERİNİN DEĞERLENDİRİLMESİ

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Ekt Data Wac

Ekt Data Wac

Анкерный крепеж EKT

Анкерный крепеж EKT

1693d1282105924 Ekt Solved Papers Study Material Ekt

1693d1282105924 Ekt Solved Papers Study Material Ekt

EKT General Ledger

EKT General Ledger

EKT Sample Question Paper

EKT Sample Question Paper

^ W E >zd/ ^ X K /tK · K /tK_ / dtK: 'K / E ^h K ( } Ì Á ] Ì w ^ W v o Ç ] l } v µ } Á v i l U Ç

^ W E >zd/ ^ X K /tK · K /tK_ / dtK: 'K / E ^h K ( } Ì Á ] Ì w ^ W v o Ç ] l } v µ } Á v i l U Ç

EKT Sample Papers

EKT Sample Papers

EKT Accounting Overview

EKT Accounting Overview

CB Certificate: DE1-43132/A4 - Country Selection Page Certificate: DE1-43132/A4 File Ref.: 1924400-335-0035 MODEL MATRIX W W W W W X X X X X Y Y Y Y Y Y Y Y Z Z Z Z Z Z W W W W W =

CB Certificate: DE1-43132/A4 - Country Selection Page Certificate: DE1-43132/A4 File Ref.: 1924400-335-0035 MODEL MATRIX W W W W W X X X X X Y Y Y Y Y Y Y Y Z Z Z Z Z Z W W W W W =

EKT ERC Greece Report Sep12

EKT ERC Greece Report Sep12

W z X w z } Y } { HFGI - International Sound Awards · 2019-02-08 · >f { i{ §Yw | fw { ?E(Презентация научных плакатов) GGPFFw W z X w z }w z {}w w}{Аудиобрендинг

W z X w z } Y } { HFGI - International Sound Awards · 2019-02-08 · >f { i{ §Yw | fw { ?E(Презентация научных плакатов) GGPFFw W z X w z }w z {}w w}{Аудиобрендинг

EKT ENDİKASYONLARI

EKT ENDİKASYONLARI

Z hEs > /ME E /E K E ^ W Z K W h ^ d ^ W Z > K h W / M E z d / s / ^ … · 2019-05-09 · K E ^ W Z K W h ^ d ^ W Z > K h W / M E z d / s / ^ E d K Z E K Z Z d Z D > ' Ayuntamiento

Z hEs > /ME E /E K E ^ W Z K W h ^ d ^ W Z > K h W / M E z d / s / ^ … · 2019-05-09 · K E ^ W Z K W h ^ d ^ W Z > K h W / M E z d / s / ^ E d K Z E K Z Z d Z D > ' Ayuntamiento

EKT Asier Sarasua 09

EKT Asier Sarasua 09