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Integrated Learning In Alignment of Data and Schema (ILIADS)

ILIADS focuses on producing high-quality integration with a flexible method adaptable to various ontology sizes. The solution combines statistical and logical inference to effectively use schema and data, leading to Integrated Learning in Alignment of Data and Schema. Future tasks include bioinformatics, computer vision, and natural language processing research.

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Integrated Learning In Alignment of Data and Schema (ILIADS)

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  1. SRL: The Next Decade Lise Getoor University of Maryland, College Park ILP07 June 21, 2007

  2. Past: Focus on Representations LBN RBN SRM PRISM RDBN RPM CLP(BN) SLR BLOG PLL pRN PER SLP PRM MLN HMRF RMN RNM DAPER RDBN RDN BLP SGLR

  3. Present: Focus on Tasks • Collective Classification • Datasets and code available athttp://www.cs.umd.edu/linqs/projects/lbc • Information Diffusion • Entity Resolution • Datasets and code available at http://www.cs.umd.edu/linqs/projects/er • Link Prediction • Community Discovery/Group Detection • Ontology Alignment

  4. The Entity Resolution Problem James Smith John Smith “John Smith” “Jim Smith” “J Smith” “James Smith” “Jon Smith” Jonathan Smith “J Smith” “Jonthan Smith” Issues: • Identification • Disambiguation

  5. before after InfoVis Co-Author Network Fragment

  6. Present: Focus on Tasks • Collective Classification • Datasets and data generator available athttp://www.cs.umd.edu/linqs/projects/lbc • Information Diffusion • Entity Resolution • Datasets and code available at http://www.cs.umd.edu/linqs/projects/er • Link Prediction • Community Discovery/Group Detection • Ontology Alignment

  7. ILIADS • Goal: • Produce high-quality integration via a flexible method able to adapt to a wide variety of ontology sizes and structures • Method: • Combining statistical and logical inference • Use schema (structure) and data (instances) effectively • Solution: • Integrated Learning In Alignment of Data and Schema (ILIADS) • Datasets and code available at:http://www.cs.umd.edu/linqs/projects/iliads

  8. Future: Focus on Integrated Tasks • Putting it all together… • Bioinformatics • Computer Vision • Natural Language Processing • Personal Information Management

  9. Research Agenda • Visual Analytics • Complexity of the integrated SRL tasks require sophisticated user interfaces which allow user feedback and support explanation • Query-time adaptive information gathering • Complexity of the integrated SRL tasks require flexible, adaptive algorithms which retrieve relevant information in real time • Some related areas to keep in mind: resurgence of work in probabilistic databases (DB), social network analysis (social science), network science (physicists)

  10. D-Dupe: An Interactive Tool for Entity Resolution http://www.cs.umd.edu/projects/linqs/ddupe Novel combination of network visualization and statistical relational models well-suited to the visual analytic task at hand

  11. Thanks! http:www.cs.umd.edu/~getoor Work sponsored by the National Science Foundation, Google, KDD program and National Geospatial Agency

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