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ECAI Exact Workshop Explanations in Dialogue Systems through Uncertain RDF Knowledge Bases Daniel Sonntag  (DFKI) and Martin Theobald (MPII)  16/08/2010 “ Where  was she  born?”
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],|
[object Object],|
Multimodal interaction with large and dynamic data repositories ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
New area of IR ,[object Object],[object Object],[object Object],[object Object]
Dialogue System Goals ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],|
Dialogue System Framework: Goals and Requirements ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Unique requirements and opportunities ,[object Object]
Dialogue Shell Workflow Speech Interpretation Text Interpretation Gesture Interpretation Graphic Generation Text Generation Speech Interpretation Dialogue and Interaction Management Interactive Semantic Mediator Interactive Service Compo-sition eTFS/SPARQL SPARQL SPARQL SPARQL OWL-API Visualisation Visualisation Service External Information Sources Semantiic (Meta) Services RDF KOIOS (Yago  Ontology) Remote Linked Data Services OWL AOIDE (Music Ontology) Text Summarisation Modality Fusion Presentation Planning Personalisation ,[object Object],[object Object],[object Object]
Shared Representation ,[object Object],[object Object]
Dialogue System Architecture Distributed Dialogue System Architecture Major components can be run on  different servers. Dialogue system also acts as  a middelware. Ontology-based  dialogue platform  (ODP). Establishes a new session for the client at the dialogue system. Invoke the central  RDF/OWL repository.
Core Answering Workflow The backend access has been extended by addressing URDF. We use an Apache Tomcat server for this purpose. The presentation has to be adapted to the result of the URDF process, i.e., graph-based explanations. Basic processing chain
 
[object Object],|
Yago and Info Boxes 09.10.10 Reasoning in Uncertain RDF Knowledge Bases  IE error-prone and inherently noisy
Requirements  ,[object Object],[object Object],[object Object],[object Object],bornIn(Al_Gore, Washington_D.C.) bornIn(Al_Gore, New_York_City)  bornIn(?x,?y)      bornIn(?x,?z)    ?y=?z KB
Inference rules vs. Integrity constraints ,[object Object],[object Object],[object Object],F C S RDF Triples Soft Rules (Horn) Hard Rules (Horn) -AvBvC     BvC -> A
Soft Rules and Hard Rules
Dependency / Explanation Graph
Inference Engine ,[object Object],[object Object],[object Object],[object Object],[object Object],First-Order Rules R1: livesIn(?x, ?y) :- marriedTo(?x, ?z), livesIn(?z, ?y) R2: livesIn(?x, ?y) :- represents(?x, ?y) R3: livesIn(?x, ?y) :- governorOf(?x, ?y) livesIn(Bill, ?x)  R1 R3 R2 ,[object Object],[object Object],[object Object],[object Object],/,[object Object], R2 R3 R1 ,[object Object],X ,[object Object],… …
Weighted MaxSat and URDF ,[object Object],[object Object],[object Object],[object Object]
MaxSat Decision ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],|
Interaction Sequence ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Complex Explanation Graph “ Where does he (Al Gore) live?”
[object Object],|
Conclusions and Outlook ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Thank you! Questions? Supported by Acknowledgements: DFKI:  Robert Nesselrath, Yajing Zang, Matthieu Deru, Simon Bergweiler, Gerhard Sonnenberg, Norbert Reithinger, Gerd Herzog, Alassane Ndiaye, Tilman Becker, Norbert Pfleger, Alexander Pfalzgraf, Jan Schehl, Jochen Steigner, and Colette Weihrauch MPII:  Maximilian Dylla, Saransh Gupta, Javeria Iqbal, Timm Meiser, Ndapa Nakashole, Mohamed Yahya, Christina Teflouidi, Vinay Setty, Yafang Wang. Special guests:Mauro Sozio, Fabian Suchanek

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Explanations in Dialogue Systems through Uncertain RDF Knowledge Bases

  • 1. ECAI Exact Workshop Explanations in Dialogue Systems through Uncertain RDF Knowledge Bases Daniel Sonntag (DFKI) and Martin Theobald (MPII) 16/08/2010 “ Where was she born?”
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12. Dialogue System Architecture Distributed Dialogue System Architecture Major components can be run on different servers. Dialogue system also acts as a middelware. Ontology-based dialogue platform (ODP). Establishes a new session for the client at the dialogue system. Invoke the central RDF/OWL repository.
  • 13. Core Answering Workflow The backend access has been extended by addressing URDF. We use an Apache Tomcat server for this purpose. The presentation has to be adapted to the result of the URDF process, i.e., graph-based explanations. Basic processing chain
  • 14.  
  • 15.
  • 16. Yago and Info Boxes 09.10.10 Reasoning in Uncertain RDF Knowledge Bases IE error-prone and inherently noisy
  • 17.
  • 18.
  • 19. Soft Rules and Hard Rules
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26. Complex Explanation Graph “ Where does he (Al Gore) live?”
  • 27.
  • 28.
  • 29. Thank you! Questions? Supported by Acknowledgements: DFKI: Robert Nesselrath, Yajing Zang, Matthieu Deru, Simon Bergweiler, Gerhard Sonnenberg, Norbert Reithinger, Gerd Herzog, Alassane Ndiaye, Tilman Becker, Norbert Pfleger, Alexander Pfalzgraf, Jan Schehl, Jochen Steigner, and Colette Weihrauch MPII: Maximilian Dylla, Saransh Gupta, Javeria Iqbal, Timm Meiser, Ndapa Nakashole, Mohamed Yahya, Christina Teflouidi, Vinay Setty, Yafang Wang. Special guests:Mauro Sozio, Fabian Suchanek