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Programming the Semantic Web
Published on Jul 30, 20147220 Views
The Semantic Web changes the way we deal with data, because assumptions about the nature of the data that we deal with differ substantially from the ones in established database approaches. Semantic W
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Chapter list
Programming the Semantic Web00:00
Warning03:09
Semantic Web: Great History, Still Long Way to Go! - 103:36
Semantic Web: Great History, Still Long Way to Go! - 203:44
Semantic Web: Great History, Still Long Way to Go! - 304:05
Semantic Web: Great History, Still Long Way to Go! - 404:38
Semantic Web: Great History, Still Long Way to Go! - 505:01
Semantic Web: Great History, Still Long Way to Go! - 605:33
Semantic Web: Great History, Still Long Way to Go! - 606:22
Semantic we programming: bird's eyes view06:24
Semantic Web Programming - 106:34
Semantic Web Programming - 207:25
Semantic Web Programming - 307:50
Semantic Web Programming - 409:42
Semantic Web Programming - 510:45
Semantic Web Impedance Mismatch - 111:00
Semantic Web Impedance Mismatch - 212:09
Semantic Web Programming - 612:21
Semantic Web Programming - 712:39
Semantic Web Programming - 812:54
Semantic Web Programming - 913:42
Semantic Web Programming - 1013:44
Semantic Web Programming - 1115:27
Semantic Web Programming - 1216:33
Semantic Web Programming - 1317:16
Semantic Web Programming - 1417:18
Semantic Web Programming - 1517:35
Semantic Web Programming - 1617:51
Programming with Data: What does it cost? - 118:18
Programming with Data: What does it cost? - 219:05
Programming with Data: What does it cost? - 320:17
Programming with Data: What does it cost? - 421:37
Programming with Data: What does it cost? - 521:48
Programming with Data: What does it cost? - 622:05
SWOT of Semantic Web Programming - 122:24
SWOT of Semantic Web Programming - 222:32
SWOT of Semantic Web Programming - 322:40
SWOT of Semantic Web Programming - 422:44
SWOT of Semantic Web Programming - 522:59
SWOT of Semantic Web Programming - 623:10
SWOT of Semantic Web Programming - 723:29
SWOT of Semantic Web Programming - 823:30
SWOT of Semantic Web Programming - 923:46
Untitled24:02
Target cost scenario 1: Automated setup - 124:22
Target cost scenario 2: Manually perfected setup - 125:16
Target cost scenario 1: Automated setup - 325:16
Intermediate conclusion - 126:00
Intermediate conclusion - 226:18
Semantic web programming: identifying some pitfalls26:25
Example scenario: Jamendo26:33
Software Development Process Overview - 127:28
Software Development Process Overview - 227:37
Software Development Process Overview - 327:47
Software Development Process Overview - 427:59
Software Development Process Overview - 528:05
Accessing Artists Using Apache Jena28:14
From artists to songs - 129:12
From artists to songs - 230:06
From artists to songs - 330:36
From artists to songs - 430:52
Related Work on RDF Access - 131:13
Related Work on RDF Access - 231:38
Related Work on RDF Access - 332:08
Related Work on RDF Access - 432:59
Related Work on RDF Access - 533:15
Semantic web programming: LITEQ - our outside approach33:26
Programming against Jamendo33:32
Node Path Query Language Using Autocompletion - 134:11
Node Path Query Language Using Autocompletion - 235:01
Node Path Query Language: Query Formulation - 135:30
Node Path Query Language: Query Formulation - 236:22
Node Path Query Language: Query Formulation - 337:01
Node Path Query Language: Query Formulation - 437:54
Node Path Query Language for Code Development - 138:37
Node Path Query Language for Code Development - 238:40
Node Path Query Language for Code Development - 339:23
Node Path Query Language for Code Development - 439:39
Node Path Query Language for Code Development - 541:23
Node Path Query Language for Code Development - 641:23
Node Path Query Language for Code Development - 742:07
Node Path Query Language for Code Development - 842:43
NPQL - 142:58
NPQL - 243:30
NPQL - 343:39
NPQL - 443:58
LITEQ - 144:18
LITEQ - 244:27
LITEQ - 344:32
LITEQ - 445:00
Cost savings - 145:04
Cost savings - 245:11
Cost savings - 345:12
Cost savings - 445:25
Cost savings - 545:44
Cost savings - 645:56
Halstead metrics for different tasks - 146:14
Speculation 1 - 147:03
Speculation 1 - 247:19
Halsteadmetricsfordifferent tasks - 247:23
Speculation 2 - 148:27
Speculation 2 - 249:02
Issues - 149:05
Issues - 249:27
Issues - 349:30
Issues - 650:47
Issues - 751:37
Issues - 851:41
Outlook with LITEQ - 152:55
Outlook with LITEQ - 253:02
Outlook with LITEQ - 353:40
Outlook with LITEQ - 454:18
Schemex: (part of) our "inside" approach55:20
Conclusion55:34
Semantic Web: Make Developers More Productive55:35
Thank You!56:18