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Information Sharing on the Social Semantic Web. Aman Shakya* and Hideaki Takeda National Institute of Informatics, Tokyo, Japan. Outline. Social Web Semantic Web Social Semantic Web StYLiD Conclusion. Social Web. Recent phenomenon on the Web A new generation of Web

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information sharing on the social semantic web

Information Sharing on the Social Semantic Web

Aman Shakya* and Hideaki Takeda

National Institute of Informatics,

Tokyo, Japan

The Second NEA-JC Workshop on Current and Future Technologies, Oct. 12, 2008, Tokyo

outline
Outline
  • Social Web
  • Semantic Web
  • Social Semantic Web
  • StYLiD
  • Conclusion

NEA-JC, 2008, Tokyo

social web
Social Web
  • Recent phenomenon on the Web
    • A new generation of Web
    • Most significant aspect of Web 2.0
  • Mass user participation
  • User activity
    • People Connect, Socialize and Interact
  • User-generated Contents
  • Easy to understand / use

NEA-JC, 2008, Tokyo

blogs
Blogs

NEA-JC, 2008, Tokyo

slide6
Wiki

NEA-JC, 2008, Tokyo

social web applications
Social Web applications
  • Multimedia sharing sites
  • Social Networking

NEA-JC, 2008, Tokyo

social bookmarking
Social Bookmarking

NEA-JC, 2008, Tokyo

tagging
Tagging

Tag Cloud

  • Folksonomy

NEA-JC, 2008, Tokyo

wisdom of the crowds
Wisdom of the Crowds

NEA-JC, 2008, Tokyo

social web today
Social WebToday

Web 2.0

NEA-JC, 2008, Tokyo

social web limitations
Social Web Limitations
  • Unstructured data
    • Unclear Semantics
    • Machines do not understand
    • Information processing/retrieval difficult
  • Lack of Interoperability
    • Lot of data locked in closed “Data Silos” or

“Walled data gardens”

  • Lack of Standards

NEA-JC, 2008, Tokyo

walled data gardens
Walled Data Gardens

NEA-JC, 2008, Tokyo

semantic web
Semantic Web
  • Sir Tim Berners-Lee (inventor of the Web)

“.. an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation..”

Scientific American (2001)

NEA-JC, 2008, Tokyo

semantic web explained
Semantic Web (explained)
  • Web of Data
  • Giant Global Graph (GGG)

GGG - Web of Data

WWW – Web of Documents

NEA-JC, 2008, Tokyo

semantic web explained1
Semantic Web (explained)
  • Data Modeling and Knowledge Representation
    • Machine understandable Semantics
  • Ontology

“.. an explicit specification of a conceptualization”

    • modeling of the objects, concepts, entities, relationships that exist in the area of interest

Gruber (1993)

NEA-JC, 2008, Tokyo

ontology
Ontology

NEA-JC, 2008, Tokyo

semantic web explained2
Semantic Web (explained)

The Semantic Web Cake

NEA-JC, 2008, Tokyo

semantic web explained3
Semantic Web (explained)
  • Consensus
  • Common formats
  • Standard Vocabulary
  • Interoperability
  • Information exchange
  • Information integration

NEA-JC, 2008, Tokyo

the semantic web today
The Semantic Web Today

OWL

(web ontology language)

SPARQL query language

Resource Description Format

Microformats

RDFa

MIT

Linked Data browsers

Gene ontology

NEA-JC, 2008, Tokyo

challenges for semantic web
Challenges for Semantic Web
  • Ontology creation is difficult
  • Global consensus is difficult
  • Difficult to understand and use for ordinary people
  • Lack of incentive / motivation
    • Lack of enough Data and Applications

NEA-JC, 2008, Tokyo

semantic web chicken or egg
Semantic Web “Chicken or Egg”

Data first or Applications first

NEA-JC, 2008, Tokyo

social semantic web
Social Semantic Web
  • Social Web + Semantic Web
    • Complement each other
    • Semantic Web
      • Machine understandable structure
      • Interoperability standards
    • Social Web
      • Easy-to-use platforms
      • Consensus thru Social interaction / collaboration
  • Combining the two cultures (Web 3.0 ?)
    • Semantic Wiki
    • Semantic Blog
    • Semantic Tagging
    • Ontology from folksonomy….. etc

NEA-JC, 2008, Tokyo

stylid
StYLiD
  • Structure Your own Linked Data

http://www.stylid.org

  • Social Web platform
  • Share a wide variety of Structured Data
    • Define your own Concepts (with attributes)
    • Easy for ordinary people
  • Publish on the Semantic Web
    • Exploit the structured data for useful applications

NEA-JC, 2008, Tokyo

slide25

Creating a new Concept

“Project” concept

Attribute labels

Description

NEA-JC, 2008, Tokyo

25

slide26

Enter Instance Data

value

Multiple Values

NEA-JC, 2008, Tokyo

slide27

values

attributes

NEA-JC, 2008, Tokyo

concept 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

Concept Consolidation

Virtual Concept

Hotel

Hotel (user3)

Hotel (user1)

Hotel (user2)

NEA-JC, 2008, Tokyo

conclusion
Conclusion
  • Social Web and Semantic Web
    • Developed independently
    • Weakness of one Strength of another
  • Social Semantic Web
    • Combine the two cultures
  • StYLiD
    • Social platform to share Semantic Web data
  • Effective integration not easy
    • Disadvantages creep in with advantages
  • Proper coordination between the two communities necessary

NEA-JC, 2008, Tokyo

thank you
Thank You!

Happy Vijaya Dashami

and

Deepawali 2065 !!

NEA-JC, 2008, Tokyo