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The IRIS Semantic Desktop

The IRIS Semantic Desktop. Arne Handt Freie Universität Berlin. Overview. Background The 4 key concepts: Integrate Relate Infer Share. Background. UI to the „Cognitive Assistant that Learns and Organizes“ Goal: improve through machine learning Organizing information

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The IRIS Semantic Desktop

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  1. The IRIS Semantic Desktop Arne Handt Freie Universität Berlin

  2. Overview • Background • The 4 key concepts: • Integrate • Relate • Infer • Share The IRIS Semantic Desktop

  3. Background • UI to the „Cognitive Assistant that Learns and Organizes“ • Goal: improve through machine learning • Organizing information • Mediating person-person interactions • Managing & monitoring tasks • ... • Based on a „semantically coherent view of the user‘s work life“ The IRIS Semantic Desktop

  4. Integrate • Tightly integrated suite of PIM apps • e.g. Email, Calendar, Explorer, ... • based on Mozilla (Browser, Email) • Reason: observation of user behavior • Three tiers • User Interface • Knowledge Base (unified data model) • Information Resources (provided by apps) • Extendable through plug-in framework The IRIS Semantic Desktop

  5. Relate • Base ontology: • CALO‘s Component Library Specification • OWL Lite (in future: OWL DL) • Two APIs for ontology access • POJOs generated from the ontology • Semantic Object Framework (SOM) • Framework for harvesting, i.e. • importing application data into semantic structures • Underlying technology: • JENA for SOM implementation • Lucene for full text search The IRIS Semantic Desktop

  6. Infer • Machine Learning is a key feature of IRIS • Automatically discovers relatedness of resources • e.g. gleaning contact information from the web • Exploits files, e.g. LaTeX & Office • Discovers projects by clustering • even proposes a label • Classifies relationships between projects and objects • And more: • Text-summarization, classifying speech acts, ... • „meta-learner“ for combining single classifiers The IRIS Semantic Desktop

  7. Share • Currently no support • Past experiment: • Knowledge exchange via Jabber • Problem: Inconsistencies due to missing locking mechanisms • currently disabled • Future plans: • Collaborative decision meeting • Reasoning over a shared document space The IRIS Semantic Desktop

  8. Conclusion • Tightly integrated suite of PIM apps • Machine learning is the defining feature • Discovery of relations • Clustering of objects into projects • „Suggestion Pane“ is always visible • IRIS-to-IRIS is still TBD The IRIS Semantic Desktop

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