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On Publishing Chinese Linked Open Schema
Published on Dec 19, 20142164 Views
Linking Open Data (LOD) is the largest community effort for semantic data publishing which converts the Web from a Web of document to a Web of interlinked knowledge. While the state of the art LOD con
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Chapter list
On Publishing Chinese Linked Open Schema00:00
Outline - 100:16
Introduction - 100:26
Introduction - 200:27
Introduction - 300:53
Introduction - 401:35
Social Web contains rich knowledge (but noise and implicit)02:12
Taxonomies and Folksonomies - 102:44
Taxonomies and Folksonomies - 203:01
Outline - 203:10
Challenges - 103:15
Challenges - 203:18
Challenges - 303:18
Challenges - 403:42
Workflow - 103:49
Workflow - 203:54
Workflow - 304:10
Workflow - 404:16
Outline - 304:59
Experiment –Data Statistics - 105:03
Experiment –Data Statistics - 205:05
Experiment –Data Statistics - 305:15
Experiment –Data Statistics - 405:30
Experiment –Data Statistics - 505:39
Experiment –Accuracy Evaluation - 105:41
Experiment –Accuracy Evaluation - 205:51
Experiment –Accuracy Evaluation - 305:56
Experiment –Accuracy Evaluation II - 106:03
Experiment –Accuracy Evaluation II - 206:10
Experiment –Accuracy Evaluation II - 306:23
Experiment –Accuracy Evaluation II - 406:28
Experiment –Accuracy Evaluation II - 506:34
Experiments –Data Distribution - 106:39
Experiments –Data Distribution - 206:41
Experiments –Data Distribution - 306:59
Experiments –Data Distribution - 407:19
Experiments –Comparison with other datasets - 107:34
Experiments –Comparison with other datasets - 207:36
Experiments –Comparison with other datasets - 308:00
Experiments –Comparison with other datasets - 408:24
Outline - 408:42
Make Zhishi.schemaas a linked data - 108:45
Make Zhishi.schemaas a linked data - 208:47
Make Zhishi.schemaas a linked data - 308:48