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LaSEWeb: Automating Search Strategies over Semi-structured Web Data
Published on Oct 07, 20141702 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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Chapter list
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