Design Patterns in Semantic Search
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Design Patterns in Semantic Search

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A quick analysis of design patterns and trends for semantic search engines

A quick analysis of design patterns and trends for semantic search engines

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    Design Patterns in Semantic Search Design Patterns in Semantic Search Presentation Transcript

    • Design Patterns in Semantic Search
    • General Presentation
      • Sites Reviewed:
      • Powerset.com
      • Sindice.com
      • Cuil.com
      • Twine.com
      • Hakia.com
    • General Presentation
    • General Presentation
    • General Presentation
      • Presentations range from minimalistic (search box only) to complex multi-layered experiences.
      • Challenges inherent in task scenario versus introduction to system capabilities
    • Input methods
    • Results Screens
    • Results Screens
    • Results Screens - Expanded
    • Results Screens - Expanded
    • Results Screens - Expanded
    • Results Screens
      • Two models for results screens: general results and tagged “pages” – much discrepancy between both models.
    • Tools and Controls
    • Categorical Result Sets
    • Categorical Result Sets
      • Solving for categorical search results is likely most pressing challenge. Categorical results can be of great value or be terribly confusing.
      • Cuil.com provides a good model.
    • UX Issues and Concerns
      • Too much complexity and dissonance in search results.
      • Information presented not directed at the needs of the user.
      • Confusing jargon and technical nomenclature
      • Benefits/value of semantic searching are not clear.
      • Interfaces appear buggy
    • Best Practices
      • Cuil.com, while not a true semantic search, provides a clean categorization model that is straightforward.
    • Best Practices
      • Twine.com seamlessly integrates web content and user-generated content into one display of information.
    • Other Models
    • Other Models