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OntoGather Information Gathering in a Dynamic World Thomas Hornung - PowerPoint PPT Presentation

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OntoGather Information Gathering in a Dynamic World Thomas Hornung Kai Simon Georg Lausen Group DBIS Albert-Ludwigs-Universit at Freiburg June 11, 2006 T. Hornung, K.Simon, G.Lausen (DBIS) OntoGather PPSWR 06 1 / 5 Classic Web search

  1. OntoGather Information Gathering in a Dynamic World Thomas Hornung Kai Simon Georg Lausen Group DBIS Albert-Ludwigs-Universit¨ at Freiburg June 11, 2006 T. Hornung, K.Simon, G.Lausen (DBIS) OntoGather PPSWR 06 1 / 5

  2. Classic Web search engine approach: Crawl the Web in intervals 1 Transform new content to internal representation 2 Build up index based on internal representation 3 Search via index structure 4 T. Hornung, K.Simon, G.Lausen (DBIS) OntoGather PPSWR 06 2 / 5

  3. Classic Web search engine approach: Crawl the Web in intervals 1 Transform new content to internal representation 2 Build up index based on internal representation 3 Search via index structure 4 Possible queries: What is the capital of Montenegro? What is the price of a Canon Ixus digital camera? etc. T. Hornung, K.Simon, G.Lausen (DBIS) OntoGather PPSWR 06 2 / 5

  4. Classic Web search engine approach: Crawl the Web in intervals 1 Transform new content to internal representation 2 Build up index based on internal representation 3 Search via index structure 4 Possible queries: What is the capital of Montenegro? What is the price of a Canon Ixus digital camera? etc. What about: What is the cheapest price of a Canon Ixus digital camera at the moment ? T. Hornung, K.Simon, G.Lausen (DBIS) OntoGather PPSWR 06 2 / 5

  5. OntoGather approach: Infer appropriate resources based on domain knowledge base 1 Access relevant resources 2 Transform results to internal representation 3 Infer relevant results 4 T. Hornung, K.Simon, G.Lausen (DBIS) OntoGather PPSWR 06 3 / 5

  6. OntoGather approach: Infer appropriate resources based on domain knowledge base 1 Access relevant resources 2 Transform results to internal representation 3 Infer relevant results 4 Pro: Up-to-date content Domain knowledge can be used to constrain the answer set Con: Speed? Need domain knowledge base with mapping to resources T. Hornung, K.Simon, G.Lausen (DBIS) OntoGather PPSWR 06 3 / 5

  7. Implementation: Inference Engine: Florid HTML access & conversion to F-Logic facts: ViPER Communication Interface: JSP & Java OntoGather Class: digital_camera 2 Ontology properties: price, name=“IXUS”, model 1 Communication Interface Result properties: price < 270, model 3 Florid Gather! Viper 5 Result: 7 6 # price model source 1 269 Digital Ixus 60 http://www.amazon.de 4 Internet T. Hornung, K.Simon, G.Lausen (DBIS) OntoGather PPSWR 06 4 / 5

  8. T. Hornung, K.Simon, G.Lausen (DBIS) OntoGather PPSWR 06 5 / 5

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