8
Entity Clustering

Entity Clustering

Embed Size (px)

Citation preview

Page 1: Entity Clustering

Entity Clustering

Page 2: Entity Clustering
Page 3: Entity Clustering

Set of one or more entity types and associated relationships grouped into a single abstract entity type.

It is useful way to present a data model for large and complex organization.

A hierarchical decomposition of a macro-level view of the data model into finer and finer views, eventually resulting in the full, detailed data model.

Entity clusters and entity types can be further grouped to form a higher-level entity cluster.

Entity Clustering

Page 4: Entity Clustering

By abstracting a supertype and its subtype Combining directly related entity types and

their relationships

Or it may be formed by combining strong entity and its associated weak entity types.

How to cluster entities?

Page 5: Entity Clustering
Page 6: Entity Clustering
Page 7: Entity Clustering

An entity cluster should focus on an area of interest to some community of users, developers, or managers. Which entity types and relationships are grouped to from an entity cluster depends on the purpose.

Page 8: Entity Clustering

Chapter 2: Entity-Relationship Model Entity Sets Entity Sets

Chapter 2: Entity-Relationship Model Entity Sets Entity Sets

Documents
Affinity Clustering: Hierarchical Clustering at Scalepapers.nips.cc/paper/7262-affinity-clustering-hierarchical-clustering-at-scale.pdf · Affinity Clustering: Hierarchical Clustering

Affinity Clustering: Hierarchical Clustering at Scalepapers.nips.cc/paper/7262-affinity-clustering-hierarchical-clustering-at-scale.pdf · Affinity Clustering: Hierarchical Clustering

Documents
Clustering IV. Outline Impossibility theorem for clustering Density-based clustering and subspace clustering Bi-clustering or co-clustering

Clustering IV. Outline Impossibility theorem for clustering Density-based clustering and subspace clustering Bi-clustering or co-clustering

Documents
1 Discriminative Training of Clustering Functions Theory and Experiments with Entity Identification Xin Li & Dan Roth University of Illinois, Urbana-Champaign

1 Discriminative Training of Clustering Functions Theory and Experiments with Entity Identification Xin Li & Dan Roth University of Illinois, Urbana-Champaign

Documents
ASA Clustering within VMDC Architecture - Cisco€¦ · ASA Clustering within VMDC Architecture ASA Clustering Overview ASA Clustering Overview The clustering feature for the ASA

ASA Clustering within VMDC Architecture - Cisco€¦ · ASA Clustering within VMDC Architecture ASA Clustering Overview ASA Clustering Overview The clustering feature for the ASA

Documents
Canopy Clustering and K-Means Clustering

Canopy Clustering and K-Means Clustering

Documents
Tutorial 8 Clustering 1. General Methods –Unsupervised Clustering Hierarchical clustering K-means clustering Expression data –GEO –UCSC –ArrayExpress

Tutorial 8 Clustering 1. General Methods –Unsupervised Clustering Hierarchical clustering K-means clustering Expression data –GEO –UCSC –ArrayExpress

Documents
1 Microarray Clustering. 2 Outline Microarrays Hierarchical Clustering K-Means Clustering Corrupted Cliques Problem CAST Clustering Algorithm

1 Microarray Clustering. 2 Outline Microarrays Hierarchical Clustering K-Means Clustering Corrupted Cliques Problem CAST Clustering Algorithm

Documents
CUNY-BLENDER TAC-KBP2012 Entity Linking …...Knowledge Base Quer ies Que ry Expansion & Candidate Generation Answer s NIL clustering ( collaborative clustering ) 2011 CUNY English

CUNY-BLENDER TAC-KBP2012 Entity Linking …...Knowledge Base Quer ies Que ry Expansion & Candidate Generation Answer s NIL clustering ( collaborative clustering ) 2011 CUNY English

Documents
Introduction to Web Clustering - Università degli Studi ... · Introduction to Web Clustering Some Web Clustering engines ... for Web Clustering Web data ... for Web Clustering Classic

Introduction to Web Clustering - Università degli Studi ... · Introduction to Web Clustering Some Web Clustering engines ... for Web Clustering Web data ... for Web Clustering Classic

Documents
Cluster Ensembles Subspace Clustering Distributed Clustering

Cluster Ensembles Subspace Clustering Distributed Clustering

Documents
Clustering. 2 Outline Introduction K-means clustering Hierarchical clustering: COBWEB

Clustering. 2 Outline Introduction K-means clustering Hierarchical clustering: COBWEB

Documents
“Robust Entity Clustering via Phylogenetic Inference”chasen.org/~daiti-m/misc/ACL2014-andrews.pdf · “Robust Entity Clustering! via Phylogenetic Inference”! ACL2014 "#$ %&'(

“Robust Entity Clustering via Phylogenetic Inference”chasen.org/~daiti-m/misc/ACL2014-andrews.pdf · “Robust Entity Clustering! via Phylogenetic Inference”! ACL2014 "#$ %&'(

Documents
CLUSTERING. Overview Definition of Clustering Existing clustering methods Clustering examples

CLUSTERING. Overview Definition of Clustering Existing clustering methods Clustering examples

Documents
Segmentation and Clustering · – Divisive and hierarchical clustering – k-means clustering – Mean shift clustering – Graph cuts •Applications – Image processing, object

Segmentation and Clustering · – Divisive and hierarchical clustering – k-means clustering – Mean shift clustering – Graph cuts •Applications – Image processing, object

Documents
Clustering 2: Hierarchical clustering

Clustering 2: Hierarchical clustering

Documents
Clustering Algorithms for Numerical Data Sets. Contents 1.Data Clustering Introduction 2.Hierarchical Clustering Algorithms 3.Partitional Data Clustering

Clustering Algorithms for Numerical Data Sets. Contents 1.Data Clustering Introduction 2.Hierarchical Clustering Algorithms 3.Partitional Data Clustering

Documents
Entity-Oriented Data Science - NIST ·  · 2013-09-05" Entity Resolution – clustering nodes that refer to the ... Declarative language based on logics to express ... Alternating

Entity-Oriented Data Science - NIST ·  · 2013-09-05" Entity Resolution – clustering nodes that refer to the ... Declarative language based on logics to express ... Alternating

Documents
CSE601 Clustering Ensemble - University at Buffalojing/cse601/fa12/materials/clustering_ensem… · – Clustering ensemble – Clustering in MapReduce – Semi-supervised clustering,

CSE601 Clustering Ensemble - University at Buffalojing/cse601/fa12/materials/clustering_ensem… · – Clustering ensemble – Clustering in MapReduce – Semi-supervised clustering,

Documents
FUZZY CLUSTERING 2009/2010. 2 What is Data Clustering? Fuzzy C-Means Clustering Subtractive Clustering Data Clustering Using the Clustering GUI

FUZZY CLUSTERING 2009/2010. 2 What is Data Clustering? Fuzzy C-Means Clustering Subtractive Clustering Data Clustering Using the Clustering GUI

Documents
Using Link Features for Entity Clustering in Knowledge Graphs · 2018-03-23 · 1 Introduction Knowledge graphs physically integrate entities from multiple sources with their prop-

Using Link Features for Entity Clustering in Knowledge Graphs · 2018-03-23 · 1 Introduction Knowledge graphs physically integrate entities from multiple sources with their prop-

Documents
Temporally Coherent Bayesian Models for Entity Discovery in … · 2015-02-09 · Temporally Coherent Bayesian Models for Entity Discovery in Videos by Tracklet Clustering Abstract—A

Temporally Coherent Bayesian Models for Entity Discovery in … · 2015-02-09 · Temporally Coherent Bayesian Models for Entity Discovery in Videos by Tracklet Clustering Abstract—A

Documents
Lecture 12: Clustering May 5, 2010. Clustering (Ch 16 and 17) Document clustering Motivations Document representations Success criteria Clustering

Lecture 12: Clustering May 5, 2010. Clustering (Ch 16 and 17) Document clustering Motivations Document representations Success criteria Clustering

Documents
Text-Mining: Clustering - Philosophische Fakultät · Clustering im TM Flaches Clustering Hierarchisches Clustering Erweiterungen, LabelingLiteratur Cluster-Hypothese \Documents in

Text-Mining: Clustering - Philosophische Fakultät · Clustering im TM Flaches Clustering Hierarchisches Clustering Erweiterungen, LabelingLiteratur Cluster-Hypothese \Documents in

Documents
Introduction to Information Extraction · 2016-09-19 · •Clustering entity mentions either within the same document or across multiple documents together, where each cluster corresponds

Introduction to Information Extraction · 2016-09-19 · •Clustering entity mentions either within the same document or across multiple documents together, where each cluster corresponds

Documents
Collaborative Clustering for Entity Clustering Zheng Chen and Heng Ji Computer Science Department and Linguistics Department Queens College and Graduate

Collaborative Clustering for Entity Clustering Zheng Chen and Heng Ji Computer Science Department and Linguistics Department Queens College and Graduate

Documents
Entity Resolution, Clustering Author Referencesjebara/6998/presentations/VladPresentation.… · Introduction Background Methodology Summary Clustering authors Learning distance function

Entity Resolution, Clustering Author Referencesjebara/6998/presentations/VladPresentation.… · Introduction Background Methodology Summary Clustering authors Learning distance function

Documents
Clustering in Ratemaking: Applications in Territories ... · Clustering in Ratemaking: Applications in Territories Clustering OVERVIEW OF CLUSTERING ¾Purpose of Clustering in Insurance

Clustering in Ratemaking: Applications in Territories ... · Clustering in Ratemaking: Applications in Territories Clustering OVERVIEW OF CLUSTERING ¾Purpose of Clustering in Insurance

Documents
Iterative Reclassification in Agglomerative Clustering of... · Iterative Reclassification in Agglomerative Clustering ... clustering for finding improved ... flat clustering

Iterative Reclassification in Agglomerative Clustering of... · Iterative Reclassification in Agglomerative Clustering ... clustering for finding improved ... flat clustering

Documents
Vladyslav Kolbasin Stable Clustering. Clustering data Clustering is part of exploratory process Standard definition: Clustering - grouping a set of

Vladyslav Kolbasin Stable Clustering. Clustering data Clustering is part of exploratory process Standard definition: Clustering - grouping a set of

Documents