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Semantics & Knowledge Management Chennai 17.2.2004 Steffen Staab Priv.-Doz. Dr.rer.nat.

Semantics & Knowledge Management Chennai 17.2.2004 Steffen Staab Priv.-Doz. Dr.rer.nat. Institut e AIFB, Universität Karlsruhe http://www.aifb.uni-karlsruhe.de/WBS Ontoprise GmbH, Karlsruhe - Semantics for the Web - http://www.ontoprise.de. AIFB.

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Semantics & Knowledge Management Chennai 17.2.2004 Steffen Staab Priv.-Doz. Dr.rer.nat.

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  1. Semantics & Knowledge ManagementChennai17.2.2004Steffen StaabPriv.-Doz. Dr.rer.nat. Institute AIFB, Universität Karlsruhe http://www.aifb.uni-karlsruhe.de/WBS Ontoprise GmbH, Karlsruhe - Semantics for the Web - http://www.ontoprise.de AIFB

  2. Do you need booking numbers for South India 2003? Do you need booking numbers for South India 2003? Do you need booking numbers for South India 2003? Do you have booking numbers for South India 2003? Files, E-Mail, RelDB,... I need booking numbers for South India 2003 Do you need booking numbers for South India 2003? Bookings in Chennai Semantic Web and Peer-to-Peer EU IST SWAPSemantic Web And Peer-to-peer

  3. Files, E-Mail, RelDB,... Bookingsin Chennai Semantic Knowledge Retrieval via Swapster I need booking numbers for South India 2003 Here is a file with booking numbers for Chennai EU IST SWAPSemantic Web And Peer-to-peer

  4. Advantages • Semantic Web-based Data Storage and Querying (RDF) Very flexible platform • Peer-to-Peer  Fault-tolerant network behaviour  Only standard PCs • Runs now and still comprises many challenges 

  5. Base Technology • Ontology Editing Environment (OntoEdit)  Provide semantic underpinning • Ontology Learning Environment (Text-to-Onto)  Facilitate ontology engineering • Ontology Storage, Reasoning, Querying (OntoBroker & KAON)  Deliver concepts and data • Semantic Middleware (KAON Server)  Deliver concepts and data • Semi-automatic Semantic Annotation Tool (OntoMat-Annotizer)  Provide semantic data • Peer-to-Peer Platform (Swapster)  Personal information sharing

  6. Studies Case Study Virtual OrganisationIBIT – Tourism on Mallorca;8 Organisations, 40 Peers Case Study BibsterBibliography case study;Open-source roll-out planned for May 2004 with 100 Peers !? German-Indo Case Study in Combination with Research Challenge !? Some Research Challenges Semantic ad-hoc Integration of Ontologies and Data Duplicate Detection Distributed Ontology Engineering Ontology Learning Multi-Lingual Ontologies Multi-Lingual Information Retrieval Semantic Query-Routing ... Challenges Drop me an email if you‘d like to participate in the Bibster case study in May!! „Which references do you have for ‚Staab 2005‘ ?“

  7. [ICDM 2003; PKDD 2003] Text Clustering with OK-Means Documents Representation of Documents granted Oman term crude Background Knowledge Explain

  8. WordNet as Ontology Root entity something 109377 Concepts (Synsets) substance physical object chemical compound artifact covering bless cover organiccompound coating lipid paint oil, anoint cover with oil oil oil paint oil color crude oil 144684 lexical entries EN:oil EN:anoint EN:inunct

  9. Annotation for the Web • „Ask the Web what it can do for you!“ • E.g. „Is Chennai a City?“ • Ask the Web for „the city of Chennai“ • Ask the Web for „Chennai, the city“ • Ask the Web for „Chennai is a city“ • Ask the Web for „Cities like Chennai“ • Aggregate results: you got it! (see WWW2004 results) • Further challenges along this line: • Multi-lingual retrieval • Multi-document retrieval (one document may not be enough) • Annotation in communities (a „Hamburger“ in a fast food restaurant is something different than an inhabitant of „Hamburg“)

  10. Acemedia – Multimedia Annotation DotKom – Information Extraction for KM Other currently running projects at our research group SEKT – Semantics-based KM WonderWeb – Semantic Web Infrastructure DIP – Semantic Web Services Halo – Dark MatterKnowledge Engineering for the Sciences SemiPort – Semantic Portal Technologies for Libraries ...and some more....

  11. Thank you!www.aifb.uni-karlsruhe.de/~sstwww.ontoprise.de

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