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LaSEWeb: Automating Search Strategies over Semi-structured Web Data
Published on 2014-10-071703 Views
We show how to programmatically model processes that humans use when extracting answers to queries (e.g., "Who invented typewriter?", "List of Washington national parks") from semi-structured Web page
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Presentation
LaSEWeb: Automating Search Strategies over Semi-Structured Web Data00:00
Motivation: search engine micro-segments - 100:17
Motivation: search engine micro-segments - 200:42
Motivation: search engine micro-segments - 301:01
Motivation: search engine micro-segments - 401:14
Repetitive search tasks - 101:56
Repetitive search tasks - 202:23
LaSEWeb Query Language02:59
Example: phone number - 104:09
Example: phone number - 204:47
Example: phone number - 305:06
Example: phone number - 405:34
Example: phone number - 505:40
Language Structure06:08
Program interpreter: “user emulation” algorithm - 107:35
Program interpreter: “user emulation” algorithm - 207:56
Program interpreter: “user emulation” algorithm - 308:10
Program interpreter: “user emulation” algorithm - 408:17
Program interpreter: “user emulation” algorithm - 508:36
Program interpreter: “user emulation” algorithm - 609:05
Experiments09:16
Summary & Future work - 110:52
Summary & Future work - 211:47
Summary & Future work - 312:27
Thanks for listening!13:30