Get the Google Feeling! Supporting Users in Finding Relevant Sources
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The document discusses strategies for enhancing user experience in navigating linked open data through system support, including query suggestions and ranked retrieval systems. It cites research on the effectiveness of various search techniques, such as query-specific snippets and related queries. Additionally, it provides statistics on the dataset used for testing these methods, including size and performance metrics.
Get the Google Feeling! Supporting Users in Finding Relevant Sources
- 1. Get the Feeling! Supporting Users in Finding Relevant Sources of Linked Open Data at Web-Scale Thomas Gottron, Ansgar Scherp, Bastian Krayer, Arne Peters
- 2. System Support for Searchers System involvement automatic Hold for later execution monitor and (skip) recommend Hold for later execute on Area of recommended command development Operational Systems display (then) options none Pure user activity User activity Bates, M.J.: Where should the person stop and the information search interface start? Information Processing and Management 26(5), 575–591 (1990) Get the Google Feeling Thomas Gottron BTC 2012 2
- 3. System Support Helps: Query Specific Snippets Recall Precision Speed Satisfaction Tombros, A., Sanderson, M.: Advantages of query biased summaries in information retrieval. SIGIR’98. pp. 2–10 (1998) Get the Google Feeling Thomas Gottron BTC 2012 3
- 4. System Support Helps: Query Suggestions of all queries were chosen from suggestions Find entry point Think out of the box Identify new query terms Kelly, D., et al. Effects of popularity and quality on the usage of query suggestions during information search. CHI '10, p 45-54, (2010) Get the Google Feeling Thomas Gottron BTC 2012 4
- 5. Get the Google Feeling Thomas Gottron BTC 2012 5
- 6. Did you mean? Result Set Size Ranked Retrieval Result Snippets Related Queries
- 7. Schema-based Index Design Get the Google Feeling Thomas Gottron BTC 2012 7
- 8. „Under the hood“ SPARQL Generalize Select Count Query Retrieve Rank translation Datasources Snippets • 1 query for result set and result set size • N queries for ranking data and snippets Specify Select • 2 queries per related query Get the Google Feeling Thomas Gottron BTC 2012 8
- 9. Stats Use of the complete BTC 2012 dataset Index size 133M schema triples 224M payload triples Commodity hardware Data processing LODation service provision Index construction (15h) and optimization (5h) Response time: < 1s on a single CPU machine Get the Google Feeling Thomas Gottron BTC 2012 9
- 10. Get the Feeling! Thank you!