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Semantic Web/LD at a Crossroads: Into the Garbage Can or to Theory?
Published on Jul 04, 20124589 Views
From Greek mythology (abbreviated from the Wikipedia): Scylla and Charybdis were mythical sea monsters noted by Homer. Scylla was rationalized as a rock shoal (described as a six-headed sea monster)
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University of Zurich00:00
Should we throw the Semantic Web into the Garbage Can?01:31
Stars (1)02:43
Star Trek02:48
Stars (2)04:06
World04:11
Connections04:16
Stars (3)04:25
Look at the connections04:28
Caught between two things (1)05:15
Caught between two things (2)05:18
Caught between two things (3)06:16
Caught between two things (4)07:19
Theory07:35
Web page China mobile (1)07:46
Web page China mobile (2)08:48
Advantages of Localization (1)09:35
Advantages of Localization - Google09:56
Advantages of Localization - Naver10:11
Advantages of Localization - Google South Korea10:33
Advantages of Localization (2)12:06
Cultural Adaptivity12:14
Hofstede’s Cultural Dimensions (1)13:06
Hofstede’s Cultural Dimensions (2)13:59
Hofstede’s Cultural Dimensions - USA14:08
Hofstede’s Cultural Dimensions - China14:27
Hofstede’s Cultural Dimensions - Switzerland14:33
Hofstede’s Cultural Dimensions - Greece14:51
Hofstede’s Cultural Dimensions - Japan15:05
So how does it work? (1)15:44
So how does it work? (2)15:49
So how does it work? (3)16:35
Example UIs (1)16:48
Example UIs (2)17:05
Example UIs - South Korea (2)17:44
Example UIs - South Korea (1)17:47
Example UIs (3)17:52
Example UIs - Japan18:02
Example UIs (4)18:04
Example UIs (5)18:16
Example UIs - China18:19
Example UIs (6)18:20
Example UIs (7)18:37
Example UIs - Switzerland18:39
Example UIs (8)18:41
Experiment 1: Setup19:06
Experiment I: Results (1)19:38
Experiment I: Results (2)19:58
Experiment II: Efficiency and Satisfaction (1)20:19
Experiment II: Efficiency and Satisfaction (2)20:22
Experiment II: Efficiency and Satisfaction (3)20:38
Experiment II: Efficiency and Satisfaction (4)20:47
Experiment II Results: Objective Measures21:06
Experiment II Results: Subjective Measures21:30
Nothing is as practical as a good theory!21:55
Reflection22:35
Practice23:32
Smurfing in Financial Institutions (1)24:39
Smurfing in Financial Institutions (2)24:57
Smurfing in Financial Institutions (3)25:24
Smurfing in Financial Institutions (4)25:28
Smurfing in Financial Institutions (5)25:43
Smurfing in Financial Institutions (6)26:14
Data Properties Transactions (1)26:55
Data Properties Transactions (2)27:09
Data Properties Transactions (3)27:16
Data Properties Transactions (4)27:21
Hexastore: The main Idea! (1)27:34
Hexastore: The main Idea! (2)27:46
Hexastore: The main Idea! (3)27:50
Hexastore: The main Idea! (4)28:16
Hexastore: The main Idea! (5)28:18
Hexastore: The main Idea! (6)28:20
Hexastore: The main Idea! (7)28:34
Hexastore: The main Idea! (8)28:46
Hexastore: The main Idea! (9)29:08
Hexastore: The main Idea! (10)29:12
Hexastore: The main Idea! (11)29:15
Hexastore: The main Idea! (12)29:17
Hexastore: The main Idea! (13)29:26
Hexastore: The main Idea! (14)29:27
Hexastore: The main Idea! (15)29:29
Hexastore: The main Idea! (16)29:38
Hexastore: Plusses/Minuses (1)29:43
Hexastore: Plusses/Minuses (2)29:45
Hexastore: Plusses/Minuses (3)29:46
Hexastore: Plusses/Minuses (4)29:48
Hexastore: Plusses/Minuses (5)29:50
Hexastore: Plusses/Minuses (6)29:52
Hexastore: Plusses/Minuses (7)29:54
Hexastore: Plusses/Minuses (8)30:04
Reality check!30:21
Reality31:57
Reflection32:29
So, should we throw the Semantic Web into the Garbage Can?36:16
Garbage Can Theory37:35
Garbage Can Theory - Problems38:55
Garbage Can Theory - Solutions38:59
Garbage Can Theory - P and S39:06
Garbage Can Theory - People39:21
Garbage Can Theory - Interaction39:53
Synthesis41:29
Recombination41:58
Process Recombination (1)42:52
Process Recombination (2)44:22
Process Recombination (3)47:56
Process Recombination (4)48:57
video50:00
CrowdLang59:16
Translating a Document (1)59:40
Translating a Document (2)59:51
Translating a Document (3)01:00:12
Translating a Document (4)01:00:32
Translating a Document (5)01:00:39
Translating a Document (6)01:00:44
Translating a Document (7)01:00:56
Translating a Document (8)01:01:08
Translating a Document (9)01:02:08
Translating a Document (10)01:04:10
Translating a Document (11)01:04:49
... we can translate a book with a good quality in 4 hours for just 67$ ...01:05:18
Should we throw the Semantic Web into the Garbage Can? (1)01:05:48
Should we throw the Semantic Web into the Garbage Can? (2)01:06:07
Should we throw the Semantic Web into the Garbage Can? (3)01:06:28
Should we throw the Semantic Web into the Garbage Can? (4)01:06:34
Should we throw the Semantic Web into the Garbage Can? (5)01:06:36