“The Semantic Web In One Day” Experiment AIFB Schloss Dagstuhl, October 2004 Group "The" The...

“The Semantic Web In One Day”

ExperimentAIFB

Schloss Dagstuhl, October 2004

Group "The"The Community Support Portal

Christoph TempichStephan Bloehdorn

Mark HefkeBjörn Schnitzler

The Semantic Web In One Day© AIFB, FZI, ontoprise, 2004

2

We are …

• <Christoph Tempich>

• <Björn Schnitzler>

• <Stephan Bloehdorn>

• <Mark hefke>


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Scenario

The new ones are coming !


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Scenario

Which paper should I read first? Who is important in the community? Which names should I know? Who can help me?

check the 1974 SIGMOD

workshop paper!


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Scenario

Many ways to look for information

- Bibster, Web, Bilateral, ….


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Scenario

No clue…


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PeerPortal

We want a community Portal!!!!


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User-specific requirements

• Send complex queries to the portal and knowledge base

• Which authors are most often mentioned regarding a specific topic?

• The top five/ most relevant papers regarding a topic?

• The most relevant conferences regarding a topic?

• Who is engaged in a specific topic (pot. Community) ?

• Adjoining communities?

• (Semi-)automatic extraction of an implicitly given community profile

• Bibster is knowledge base

• Definition of a “rough” user profile

• Automatic Community detection with Invitation

=> Portal Generation

=> Peer2Peer meets Semantic Web Technology!!!


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Analysis

What do We have?

Easy Available

• local Bibster SWRC entries

• local papers

• KAON Portal

Available

•CiteSeer Citetation Index

•Conferences


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Approach

Community-Portal

• How can the community-buildup be supported with semantic web technologies?

• Extraction of information from locally stored papers + Chat + extraction of information from web sites (Text-To-Onto?) + publication lists/ team or staff descriptions

• Semantic portal showing bibliographic information + links to papers/ persons/ projects,

• Usage logging-> Extraction of rules

• Automatic genefration of additional information using pre-defined rules


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WebUser (Peer)

Our Architecture

Community-Portal (KAON)

Bibster

• Chat• Web Sites• staff descriptions• publication lists

Ontologie „Virtual Community“

Invitation to joina potentialcommunity Refinement

SWRC-OntologieIn

stance

s

Instances


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Objective for One Day

• Wrap one Peer behind a KAON portal• User friendly complex querying of the P2P

Network via the portal• Extract link between locally stored .pdfs

and locally stored Bibtex• Rank the most relevant Persons based on

the stored Papers• Rank the most relevant Papers based on

the stored Papers


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Problems• Data integration

– KAON labels– SWRC ontology in DAML– Properties in SWRC are not in RDFS– Virtual Integration in one day?– RDFS export of BIBSTER needs major

adaptation

• Solution e.g. grep "<rdfs:Class" $1 | gawk -F\" '{print $2}' | gawk -F\; '{print "<kaon:Label rdf:ID=\""systime()"-c"NR"\"\nkaon:value=\""$2"\">\n<kaon:inLanguage rdf:resource=\"&kaon;en\"/>\n <kaon:references rdf:resource=\""$0"\"/>\n</kaon:Label>\n\n"}'grep "<rdf:Property" $1 | gawk -F\" '{print $2}' | gawk -F\; '{print "<kaon:Label rdf:ID=\""systime()"-p"NR"\"\nkaon:value=\""$2"\">\n<kaon:inLanguage rdf:resource=\"&kaon;en\"/>\n <kaon:references rdf:resource=\""$0"\"/>\n</kaon:Label>\n\n"}'


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Achievements of One Day

• Wrap one Peer behind a KAON portal

• User friendly complex querying of the P2P Network via the portal

• Extract link between locally stored .pdfs and locally stored Bibtex

• Rank the most relevant Persons based on the stored Papers

• Rank the most relevant Papers based on the stored Papers

With files possibleWith filespossible

NOtime

Done

NOtime


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Screenshot (1/2)

Give me all relevant papersregarding the topic P2P!


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Screenshot (2/2)

identification of (expert) peoplewith similar interests using

ontology-based similarity measures


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Who are the most important people at AIFB?

• (based on BibTex file)

AuthorPageRank:calculatePageRank: Steffen Staab AuthorPageRank:calculatePageRank: York Sure AuthorPageRank:calculatePageRank: Gerd Stumme AuthorPageRank:calculatePageRank: Raphael VolzAuthorPageRank:calculatePageRank: Rudi Studer AuthorPageRank:calculatePageRank: Alexander Maedche AuthorPageRank:calculatePageRank: Daniel Oberle AuthorPageRank:calculatePageRank: Ian Horrocks AuthorPageRank:calculatePageRank: Siegfried Handschuh AuthorPageRank:calculatePageRank: Marta Sabou AuthorPageRank:calculatePageRank: Dieter Fensel AuthorPageRank:calculatePageRank: Julien Tane AuthorPageRank:calculatePageRank: Nenad Stojanovic AuthorPageRank:calculatePageRank: Christoph Schmitz AuthorPageRank:calculatePageRank: Philipp Cimiano


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Conclusion

• Life demo?

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