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Beyond Basic Faceted Search

Beyond Basic Faceted Search. Presented by Chien-Ling Huang Jun. 30, 2011. Ori Ben-Yitzhak, Nadav Golbandi, Nadav Har’El, Ronny Lempel,Andreas Neumann, Shila Ofek-Koifman, Dafna Sheinwald, Eugene Shekita, Benjamin Sznajder, Sivan Yogev. Overview . Introduction Related Work

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Beyond Basic Faceted Search

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  1. Beyond Basic Faceted Search Presented by Chien-Ling Huang Jun. 30, 2011 Ori Ben-Yitzhak, Nadav Golbandi, Nadav Har’El, Ronny Lempel,Andreas Neumann, Shila Ofek-Koifman, Dafna Sheinwald, Eugene Shekita, Benjamin Sznajder, Sivan Yogev

  2. Overview • Introduction • Related Work • Implementation on Basic Facet Search • Extended multifaceted Search To Business Intelligence • Correlated Facets • Pros & Cons • Conclusion

  3. INTRODUCTION • What’s Faceted Search? • Typical user interaction with Faceted Search • Type or refine a search query • Navigate through multiple search query

  4. INTRODUCTION • Shortcoming • Should have richer insight into data • Too many independent facet hierarchies.

  5. Related Work • Multifaceted Search • Faceted Hierarchies • Mapping the documents • OLAP- On Line Analytical Processing CUBE

  6. Implementation of Basic Faceted Search • Lucene • Document Ingestion • Taxonomy before indexing • Taxonomy while indexing

  7. Implementation of Basic Faceted Search

  8. Implementation of Basic Faceted Search • Faceted query and Faceted result set FQ=(qc, TF) TF={tf1, tf2,….tfk} tfi=(Pi,ni) n>=1

  9. Extending Multifaceted Search to bussiness intelligence

  10. Extending Multifaceted Search to bussiness intelligence

  11. Extending Multifaceted Search to bussiness intelligence • Dynamic Facets

  12. Correlated Facets

  13. Correlated Facets

  14. Correlated Facets • Shortcoming • Large index size • Difficulty on aggregating counts

  15. Correlated Facets

  16. Pros and cons • Dynamic corpora • Less complexity • Allow multiple sub categories

  17. Conclusion • Extended the Basic Faceted Search. • Flexible, Dynamic, Business intelligence aggregation • Efficiently support correlated facets.

  18. Reference • Peter Anick and Suresh Tipirneni. Method and apparatus for automatic construction of faceted terminological feedback for document retrieval, 2003. US Patent 6519586. • Ramon Barquin and Herb Edelstein (editors). Building, Using and Managing the Data Warehouse. Prentice-Hall, Inc, 1997. • E.F. Codd, S.B. Codd, and C.T. Salley. Providingolap (on-line analytical processing) to user-analysts:An IT mandate. Technical Repor

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