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Faceted Navigation Presentation to LACASIS 2005 Fall Workshop Search Forward: Emerging Internet Capabilities  November 18 th  2005  Brad Allen, Founder and CTO Siderean Software, Inc.
Overview ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Problem: Knowing what information is available
Faceted navigation: providing “a bird’s eye view” of available information vs.
How faceted navigation differs from search ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Faceted navigation: origins ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Facets: the basis of navigation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Building navigation applications Organized into a unified information architecture… Analyzed to generate  faceted views… Providing faceted  navigation across the data and content Metadata about data and content is aggregated… Term Event Person Place Text View View
Case study: NASA JPL ,[object Object],[object Object],[object Object],[object Object],[object Object]
Metadata in today’s enterprises ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Verticals for faceted navigation Traders, industry analysts, investment bankers Adoption of RSS for market news emerging News feeds, financial DBs, market data Search, analyze and monitor dynamic financial and market data Financial Services Consumers, marketers Pervasive adoption of XML standards for moving product and customer data across value chains Product catalogs, customer reviews, customer service data, advertising Search and browse catalogs of products and services, consumer-generated information   E-Commerce Intelligence analysts Commitment to RDF/OWL as solution for cross-agency interoperability, actively using RSS Scads of all types, with unstructured information often preprocessed to boot Search, analyze and monitor complex, dynamic intelligence, project and problem information across organizations and projects (Columbia, Iraq, 9/11) Federal Government Business users Adopting semantic technologies Existing metadata Strong identified application fit Vertical
Navigation requires metadata ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Lessons learned ,[object Object],[object Object],[object Object],[object Object],[object Object]
The utility of RDF for commercial metadata ,[object Object],[object Object],[object Object],[object Object]
Building navigation systems with RDF ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Lessons: ontologies ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Lessons: controlled vocabularies ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Lessons: instances ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Lessons: application profiles ,[object Object],[object Object],[object Object],[object Object],[object Object]
The big question: statistics vs. knowledge ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Future directions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
fac.etio.us ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Challenges ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Challenges: scale ,[object Object],[object Object],[object Object],[object Object],[object Object]
Challenges: algorithms ,[object Object],[object Object],[object Object],[object Object]
Challenges: usability ,[object Object],[object Object],[object Object],[object Object],[object Object]
Summary ,[object Object],[object Object],[object Object]
Siderean Software, Inc. 390 North Sepulveda Blvd., Suite 2070 El Segundo, CA 90245-4475 USA +1 310 647-4266 http://www.siderean.com [email_address]

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Faceted Navigation (LACASIS Fall Workshop 2005)

  • 1. Faceted Navigation Presentation to LACASIS 2005 Fall Workshop Search Forward: Emerging Internet Capabilities November 18 th 2005 Brad Allen, Founder and CTO Siderean Software, Inc.
  • 2.
  • 3. Problem: Knowing what information is available
  • 4. Faceted navigation: providing “a bird’s eye view” of available information vs.
  • 5.
  • 6.
  • 7.
  • 8. Building navigation applications Organized into a unified information architecture… Analyzed to generate faceted views… Providing faceted navigation across the data and content Metadata about data and content is aggregated… Term Event Person Place Text View View
  • 9.
  • 10.
  • 11. Verticals for faceted navigation Traders, industry analysts, investment bankers Adoption of RSS for market news emerging News feeds, financial DBs, market data Search, analyze and monitor dynamic financial and market data Financial Services Consumers, marketers Pervasive adoption of XML standards for moving product and customer data across value chains Product catalogs, customer reviews, customer service data, advertising Search and browse catalogs of products and services, consumer-generated information E-Commerce Intelligence analysts Commitment to RDF/OWL as solution for cross-agency interoperability, actively using RSS Scads of all types, with unstructured information often preprocessed to boot Search, analyze and monitor complex, dynamic intelligence, project and problem information across organizations and projects (Columbia, Iraq, 9/11) Federal Government Business users Adopting semantic technologies Existing metadata Strong identified application fit Vertical
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.
  • 28. Siderean Software, Inc. 390 North Sepulveda Blvd., Suite 2070 El Segundo, CA 90245-4475 USA +1 310 647-4266 http://www.siderean.com [email_address]