StYLiDStYLiD: Social Information : Social Information Sharing with Free Creation of Sharing with Free Creation of

Structured Linked DataStructured Linked Data

Aman Shakya1, Hideaki Takeda1, Vilas Wuwongse2

1National Institute of Informatics Tokyo, Japan

2Asian Institute of Technology, Pathumthani, Thailand

MotivationMotivationPeople want to share information on

the Web

Lets share Structured Data◦Model different types of data◦Semantics becomes explicit◦Effective information sharing and gathering◦Effective Search and Browsing◦Integrate/Remix data from various sources◦Interoperability among systems

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ChallengesChallengesWide variety of information to share

◦ Long Tail of information domains (Hunyh et al. 2007)

Traditional database driven systems◦ Rigid and specific

Ontologies for the Semantic Web◦ Difficult to create◦ Not many popular ontologies◦ Difficult to search, understand and use

Not feasible to create new systems every time

Easy system for all general users◦ Mass participation

Multiple user perspectives, requirements and contexts

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StYLiDStYLiDStructure Your own Linked Data

http://www.stylid.org

A Social Software platform ◦ Structured Information sharing

Freedom to define your own concepts ◦ Conceptualize and share any“thing”

Easy to use ◦ For any general user

Multiple Definitions◦ Consolidated by the system

Emerging popular concepts ◦ evolve incrementally

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Creating a new Concept

Attribute labels

Description

Suggested Value Range

“Project” concept

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Enter Instance Data

Literal value

Suggested range concepts

Resource URI

Multiple Values

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Project conceptcreated by Username (version no.)

attributes

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StYLiD Structured Data InstanceStYLiD Structured Data Instance

Multiple Concept Multiple Concept DefinitionsDefinitionsDifferent users can define

◦ The same concept with the same name

Users have◦ Different requirements/purposes◦ Different perspectives◦ Different preferences

Evolving concept definitions◦ Modify concepts defined by others◦ Incremental definitions

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Concept ConsolidationConcept Consolidation

Hotel - ver.1 (user1)

Name

Address

Country

Hotel - ver.2 (user1)

Name

Address

Phone-number

Hotel - ver.3 (user1)

Name

Location

Rating

Hotel - ver.1 (user2)

Name

Capacity

Zip-code

Hotel - ver.2 (user2)

Name

Zip-code

Price

Hotel - ver.1 (user3)

Name

Lat

Long

Hotel (user1)

Hotel (user2)

Hotel (user3)

Hotel

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Virtual Concept

Concept CloudConcept Cloud

Sub-Cloud

Consolidated concept

Alignment of Concept Alignment of Concept AttributesAttributesAutomatically suggest Attribute

Alignments◦ Currently based on Edit distance between labels

User in the loop◦ User verifies and completes the alignment

Alignments are saved◦ Using the alignment ontology

http://www.atl.lmco.com/projects/ontology/ontologies/core/alignment/Alignment.owl

◦ Small effort of One benefits All

Human intelligence + Machine intelligenceSWKM 2008, Beijing, China 11

Concept versions

x

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A Unified ViewA Unified ViewConsolidated Concept with consolidated

attributes

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Uniform Table View

Unified attributes

Search on Consolidated Concept

SPARQL14SWKM 2008, Beijing, China

Query on Consolidated concept◦ Unfolds to queries on

individual concepts

Structured SearchStructured Search

Linked DataLinked DataURIs

◦ Unique and dereferenceableLink instances

◦ Enter any Resource URI as attribute value◦ Pick instances from the suggested range

Link to Wikipedia contents

Simple Hyperlinked pages for the userLinked Data Web for the machinesStructured data embedded in HTML using

RDFaSWKM 2008, Beijing, China 15

StYLiStYLiDD

Wikipedia URI DBpedia URI

Related WorkRelated Work

Semantic BloggingSemantic WikisOntology from FolksonomyAlignment - Potluck

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Exhibit

ConclusionConclusion

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StYLiD◦ Sharing wide variety of Structured Data

Social software◦ Easy and flexible interface◦ Let users contribute freely

Consolidation of Multiple conceptualizations◦ Semi-automatic alignment of attributes

Ontology as by-product of information sharing

Supporting Linked Data◦ Formal machine understandable output

Future and Ongoing WorkFuture and Ongoing Work

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Incorporating robust schema alignment systems

Computing relations among concepts◦ Hierarchical / non-hierarchical ◦ based on Concept structure / Instance data

Consolidating concepts with different names

Disambiguation of concepts with same name

Plugins to utilize on structured dataExpose data through API / extended

RSS

Thank You!Thank You!

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QuestionsSuggestions