Generating Researcher Networks with Identified Persons on a Semantic Service Platform

Copyright © 2004-2009, KISTI1BlogTalk2009

Generating Researcher Networkswith Identified Persons

on a Semantic Service Platform

15 Sep. 2009

Hanmin Jung

KISTI


Research networks would be useful for finding

Collaborators

Speakers (Key persons of a researcher group)

Issues

Getting sources

Resolving identities

Finding experts

Generating networks

Agenda


Getting sources …


Identified Entities

Papers: 453,124Elsevier international journal papers with full-texts and metadata

Persons: 1,352,220

Topics: 339,947

Institutions: 91,514

Locations: 409,575 (with GPS coordinate)

RDF Triples: 283,087,518 (2008.11)

Sources


Resolving identities … How to resolve identities?How to merge different identifiers as one?


OntoFrame

RDF Triple Store

OntoURI®

ListenerTriple

Generator

OntoReasoner®

OntoFrame 2008 Service

WS API/SPARQL

XML

WS API

SQL/Expanded Triples

FieldInformation

DB Tables

Legacy DB Table

Legacy DB Table

… FieldInformation

OntologyInstances

OntologySchemataOntologies Search Engine

XML

WS API

WS API

Answers


Ontology

Reference and Academic Knowledge Ontologies


OntoFrame

Select Database & OntologySelect Database & Ontology

Edit Mapping RulesEdit Mapping Rules

Design Ontology ModelDesign Ontology Model Edit URI Generation RulesEdit URI Generation Rules

Edit Identity Resolution RulesEdit Identity Resolution Rules

Crawl DatabaseCrawl DatabaseNormalize Field ValuesNormalize Field Values

Extract TopicsExtract TopicsResolve IdentitiesResolve Identities

Refer Authority DataRefer Authority Data

Apply sameAs RelationsApply sameAs Relations

Apply Mapping RulesApply Mapping Rules

Test Mapping ProcessTest Mapping Process

Apply Identity Resolution RulesApply Identity Resolution Rules

Apply URI Generation RulesApply URI Generation Rules

Modeling-TimeProcess

Indexing-TimeProcess

Generate RDF TriplesGenerate RDF Triples

Assign URIsAssign URIs

Syntactic-to-Semantic Process

Run-TimeProcess


Identity Resolution

One or TwoPersons?

Barry G.T.Lowden

BarryLowden

One or TwoPersons?

ChristianBecker

ChristianBecker

case 1case 1 case 2case 2


Identity Resolution

Rules for Resolving Personal Identities

Class Resource Kind Match Relation Source Weight

Person Order 1

Person Name Pivot Exact Single OntoURI

Person hasInstitution Feature Exact Single OntoURI 2

Person Email Feature Number Single 4

Person hasCoauthor Feature Number Multiple OntoReasoner 1

Person hasTopic threshold 0.8


Identity Resolution

Authority Data

Normalized Form Variant Form Kind Class

IBM International Business Machines Corporation Abbreviation Institution

Microsoft MS Abbreviation Institution

Microsoft 마이크로소프트 Korean Institution

London 런던 Korean Location

Academic Inc. Academic Press Inc, LTD Alternative Publication


Identity Resolution

sameAs

Authorization

∅


Identity Resolution

sameAs

Candidates


ReSIST (2006 ~ 2008)


ReSIST (2006 ~ 2008)

Resilience Knowledge Base

"Deliverable D31: Final Workshop report" by ReSIST


LOD Project

http://richard.cyganiak.de/2007/10/lod/

Linking Open Data Community Project

Available in RDF and SVG (Scalable Vector Graphics) versions

KISTI


Finding experts … How to extract topics?How to determine topics of a researcher?


Topic Extraction

System Architecture


Propagating Topics of Entities

Topic Propagation

Article Person


Experts Finding

Process

Knowledge expansionMaking direct relations for shorter access path

Experts retrievalQuerying with SPARQL for a given topic

Converting SPARQL-to-SQL

Using backward chaining path

Post-processingGrouping and counting retrieved authors

Ranking by names or the number of achievements

Making an XML document as the result


Knowledge Expansion

Inference Rule

@prefix isrl: <http://www.kisti.re.kr/isrl/ResearchRefOntology#>

(?x isrl:hasCreatorInfo ?y) (?y isrl:hasCreator ?z) ->

(?x isrl:createdByPerson ?z)

Article

hasCreatorInfo

CreatorInfo

hasCreator

Person

createdByPerson

……


Experts Retrieval

Backward Chaining Path


Generating networks … How to find a researcher group?How about similar researchers?


OntoFrame 2008


Researcher Networks (T, P)


Process

Getting co-author pairs for a target topic (T) SELECT DISTINCT ?person1 ?person2

WHERE {

?article aca:yearOfAccomplishment ?year .

FILTER(?year>=startYear && ?year<=endYear) .

?article aca:hasTopicOfArticle <topURI> .

?article aca:createdByPerson ?person1 .

?article aca:createdByPerson ?person2 .

FILTER(?person1 < ?person2) .

}

Selecting a target researcher (P) in the pairs

Tracing group members connected with him (seed)

Researcher Networks (T, P)


Researcher Networks (P)


Process

Getting co-author pairs including a target researcher (P) SELECT ?per1 ?per2

WHERE {

?article aca:yearOfAccomplishment ?year .

FILTER(?year>=startYear && ?year<=endYear) .

?article aca:createdByPerson ?per1 .


FILTER(?per1 < ?per2) .

FILTER(?per1=<perURI> || ?per2=<perURI>) .

}

Ranking them with the frequency of co-authorship

Researcher Networks (P)


Similar Researchers


Process (1/2)

Getting topics of a target researcher (P) SELECT ?per1 ?topic

WHERE {


?article aca:hasTopicArea ?topicArea .

?topicArea aca:hasTopicOfTopicArea ?topic .

FILTER(?per1=<perURI>) .

}

Ranking and selecting top n topics for him

Similar Researchers (P)


Process (2/2)

Getting researchers who largely share topics with him SELECT DISTINCT ?per2

WHERE {

?per2 aca:hasTopicOfPerson ?topic1 .




FILTER(?per2!=<perURI>) .

FILTER(?topic1 < ?topic2 && ?topic2 < ?topic3 && ?topic3 < ?topic4) .

{

FILTER(?topic1=<topic[0]> || ?topic1=<topic[1]> || ?topic1=<topic[2]> || ?topic1=<topic[3]> || ?topic1=<topic[4]>) .




}

Similar Researchers


Processes to Generate Researcher Networks

Getting sources: Papers

Resolving identities: Rules, Authority data, sameAs

Finding experts: Topics, Reasoning

Generating networks: Topic-, Person-constrained

Next Research Topic

Service mashup to get researcher networks directly

Conclusions


Thank you

[email protected]

“A lot of times, people don’t know what they want until you show it to them.”

by Steve Jobs

Generating Researcher Networks with Identified Persons on a Semantic Service Platform

Technology

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