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Bibster AIFB Bibster A Semantics-Based Bibliographic Peer-to-Peer System Peter Haase , Steffen Staab, Rudi Studer, Frank van Harmelen, Michal Plechawski & the Bibster Team Developers Dayat the WWW ´04 http://swap.semanticweb.org/

Bibster A Semantics-Based Bibliographic Peer-to-Peer System

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Bibster A Semantics-Based Bibliographic Peer-to-Peer System. Peter Haase , Steffen Staab, Rudi Studer, Frank van Harmelen, Michal Plechawski & the Bibster Team Developers Day at the WWW ´04 http://swap.semanticweb.org/. Scenario. - PowerPoint PPT Presentation

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Page 1: Bibster A Semantics-Based Bibliographic Peer-to-Peer System

BibsterAIFB Bibster

A Semantics-Based BibliographicPeer-to-Peer System

Peter Haase, Steffen Staab, Rudi Studer,Frank van Harmelen, Michal Plechawski

& the Bibster TeamDevelopers Dayat the WWW ´04

http://swap.semanticweb.org/

Page 2: Bibster A Semantics-Based Bibliographic Peer-to-Peer System

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Scenario

Scenario: Sharing of bibliographic metadata in a Peer-to-Peer network Bibliographic metadata is created and maintained in a

decentralized manner Researchers are willing to share their data Use of semantics is crucial in this setting

The Bibster system allows to: Easily share bibliographic data Save work in finding this data Avoid re-typing this data by hand

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Bibster / SWAP System Architecture

Message

Query Replier

Query

Local Node Repository

Communication Adapter

JXTANetwork

Knowledge Source Integration

Knowledge Sources

User Interface

Statements

Answer

Informer

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Semantic Methods in Bibster

Semantic representation and querying of metadata Extraction and classification from e.g. BibTeX files Semantic Web Research Community Ontology and

ACM Topic hierarchy as light-weight ontologies

Peer selection using semantic topologies Scalability requires intelligent query routing Semantic descriptions of peers´ expertise to

build semantic topologies as basis for peer selection Peers with similar expertise are clustered

Semantic duplicate detection Highly redundant and inconsistent representation of bibliographic

metadata Semantic similarity measures to detect duplicates

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Semantic Representation of Metadata

SWRC as base ontology:

models domain of research

community

ACM Topic hierarchy

1287 topics from

Computer Science Domain

for classification of metadata

Person Publication Topic

Article InProceedings Misc

isAbout

subClass

author

seeAlsosubTopic

InformationSystems Data

FilesDatabase

Mgmt

Information Storageand Retrieval

Information Searchand Retrieval

DigitalLibraries

DatabaseLanguages

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Sample BibTeX Entry

@ARTICLE{codd81relational,

author = {Edgar F. Codd},

title = {The capabilities of relational database management systems},

journal = {IBM Research Report, San Jose, California},

volume = {RJ3132},

year = {1981}

}

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codd_81_relational

ArticlePerson

edgar_f_codd ACMTopic/Information_Systems/Database_Management

F.

Edgar Codd

The capabilities ofrelational database

management systems

1981

RJ3132

IBM Research Report, San Jose, California

firstName lastName

middleName

rdf:type

rdf:type

isAbout

journal

title

year

volume

author

Sample Entry

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Demo …

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Conclusion

Download: http://bibster.semanticweb.org/

Open source (GNU public license)https://sourceforge.net/projects/bibster/

Potential Contributions by You:

Software aspects User Interface Performance optimizations

Research aspects Heterogeneous,

evolving ontologies Alternative Query Routing

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Questions, Discussion

SWAP project: http://swap.semanticweb.org/

Bibster subproject: http://bibster.semanticweb.org/

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Contact

Feel free to contact us for detailed information!

General issues:Peter Haase

[email protected]: +49 (0) 721 608 – 37 05

Support:Björn Schnizler

[email protected]: +49 (0) 721 608 - 83 85

http://bibster.semanticweb.org/

University of Karlsruhe VU Amsterdam Empolis Poland