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DH11: Browsing Highly Interconnected Humanities Databases Through Multi-Result Faceted Browsers
DH11: Browsing Highly Interconnected Humanities Databases Through Multi-Result Faceted Browsers
DH11: Browsing Highly Interconnected Humanities Databases Through Multi-Result Faceted Browsers
DH11: Browsing Highly Interconnected Humanities Databases Through Multi-Result Faceted Browsers
DH11: Browsing Highly Interconnected Humanities Databases Through Multi-Result Faceted Browsers
DH11: Browsing Highly Interconnected Humanities Databases Through Multi-Result Faceted Browsers
DH11: Browsing Highly Interconnected Humanities Databases Through Multi-Result Faceted Browsers
DH11: Browsing Highly Interconnected Humanities Databases Through Multi-Result Faceted Browsers
DH11: Browsing Highly Interconnected Humanities Databases Through Multi-Result Faceted Browsers
DH11: Browsing Highly Interconnected Humanities Databases Through Multi-Result Faceted Browsers
DH11: Browsing Highly Interconnected Humanities Databases Through Multi-Result Faceted Browsers
DH11: Browsing Highly Interconnected Humanities Databases Through Multi-Result Faceted Browsers
DH11: Browsing Highly Interconnected Humanities Databases Through Multi-Result Faceted Browsers
DH11: Browsing Highly Interconnected Humanities Databases Through Multi-Result Faceted Browsers
DH11: Browsing Highly Interconnected Humanities Databases Through Multi-Result Faceted Browsers
DH11: Browsing Highly Interconnected Humanities Databases Through Multi-Result Faceted Browsers
DH11: Browsing Highly Interconnected Humanities Databases Through Multi-Result Faceted Browsers
DH11: Browsing Highly Interconnected Humanities Databases Through Multi-Result Faceted Browsers
DH11: Browsing Highly Interconnected Humanities Databases Through Multi-Result Faceted Browsers
DH11: Browsing Highly Interconnected Humanities Databases Through Multi-Result Faceted Browsers
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DH11: Browsing Highly Interconnected Humanities Databases Through Multi-Result Faceted Browsers

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  • 1. Browsing HighlyInterconnected Humanities Databases Through Multi- Result Faceted Browsers Michele Pasin Department of Digital Humanities Kings College, London michele.pasin@kcl.ac.uk www.michelepasin.org/software/djfacet
  • 2. Summary1. Background. Interaction models in searchinterfaces: retrieval model vs explorational model2. Approach. DJFacet, a multi-result dynamictaxonomies search system3. Evaluation. Strengths and weaknesses; futurework
  • 3. Background: two models of interactionRetrieval Model Exploration model vs                                        
  • 4. Retrieval model: structured search Query Result
  • 5. Explorational model: faceted search systems Result Query
  • 6. Explorational model: faceted search systems • Tested successfully in several areas / with different back-ends • Easy to use, user-centered • Implement a schema-less approach • Highly scalable / convergent • Expose domain features
  • 7. The Retrieval model explainedFacet #1 Information Spacefacet-value #1facet-value #2facet-value #3facet-value #4.............Facet #2facet-value #1facet-value #2facet-value #3facet-value #4.............Facet #3facet-value #1...........................
  • 8. The Explorational model explainedFacet #1 Information Spacefacet-value #1facet-value #2facet-value #3facet-value #4.............Facet #2facet-value #1facet-value #2facet-value #3facet-value #4.............Facet #3 Self Adaptingfacet-value #1............. Exploration Structures..............
  • 9. Extending the model: multiple result typesFacet #1 Information Spacefacet-value #1facet-value #2facet-value #3facet-value #4.............Facet #2facet-value #1facet-value #2facet-value #3facet-value #4.............Facet #3 Result-type E.g.: cars, (normally unique documents,facet-value #1 and stable)............. people..............
  • 10. Extending the model: multiple result typesFacet #1 Information Spacefacet-value #1facet-value #2 Eventsfacet-value #3 Facets: date; transaction-facet-value #4 type; spiritual benefits;............. place; etc...Facet #2 reference to evidencefacet-value #1facet-value #2 forfacet-value #3facet-value #4............. People Documents Facets: gender; Facets: language; date;Facet #3 surname; forename; title; etc... category; place; etc...facet-value #1...........................
  • 11. DJango Facet: a Python multi-result FSS - Python/Django based - Easy to install / integrate - Back-end agnostic - Minimal look and feel - REST architecture - Supports pivoting - Includes a caching system
  • 12. DJango Facet: a Python multi-result FSSfacetslist = [ {appearance : { label : Person name , uniquename : personname, model : Person , dbfield : "name", displayfield : "name", grouping : [personinfo], }, behaviour : [{ resulttype : persons, querypath : name, }, { resulttype : events, querypath : associatedpeople__name, }, { resulttype : documents, querypath : associatedfactoids__associatedpeople__name, }, ]}, ]
  • 13. Case studies: POMS <www.poms.ac.uk>
  • 14. Case studies: EMLOT <www.emlot.kcl.ac.uk>
  • 15. EMLOT: complex queries made simple
  • 16. EMLOT: complex queries.. still complex!Facet: Tr. recordsPlace of “London”publication: && EventsFacet:Venue “Phoenix/ Cockpit” SourcesName:Facet: && PeoplePersonRole: “Playwright” TroupesFacet: &&Troupe Venues “Adult players”type:
  • 17. Evaluation- Purpose: - improving the general efficiency of DJFacet - testing the intuitiveness of the search and navigation facilities; - testing the comprehension of the specific facets we are using - testing the comprehension of the ‘multi-result’ approach- Setup: - 8 people - face to face sessions of 30-60 minutes - recorded using screen-casting software - the performance is analysed and annotated afterwards- Tasks: - incremental difficulty - level 0: warming up, exploring the interface (facets and result types) - level 1: queries with 1 facet - level 2: queries involving 2 facets - level 3: queries involving 3 or more facets
  • 18. Evaluation results Comprehension - In general, quite positive of the intended - Document-class and document-type are very meaning of ambiguous facets - Some of the terms within the facets are not easy to interpret: eg the ‘staging context’ event-type. Generic UI - Facets’ role in a search is more intuitive when issues they are open - Clear separation between controls and results - Result-type switches are not obvious, people confuse them with “other” facet controls Comprehension - Pivoting action is not explained properly of the - People with no familiarity with the domain don’t significance of get the implicit relations between result-types results - People with familiarity with the domain perform quite well
  • 19. Evaluation results: future work- Cues that help users understand the DB model: - static section in the help menu - dynamic ‘query explanation’ mechanism - via graphical diagram providing a visual representation of the query - via a natural language rendering of the query- Messages that help users notice the ‘pivoting’ action: - popups before changing result-type - make this control less prominent when filters are already selected- An evaluation on the other DB is planned for September: - new version of DJFacet available soon - more details about the evaluation to be published in autumn
  • 20. ... thanks!      

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