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Mind Your Metadata: Exploiting Semantics for Configuration, Adaptation, and Provenance in Scientific Workflows
Published on 2011-11-252346 Views
Scientific metadata containing semantic descriptions of scientific data is expensive to capture and is typically not used across entire data analytic processes. We present an approach where semantic m
Presentation
Mind Your Metadata00:00
River Continuum vs Human Activities04:58:53
Case Study16:30:33
Stream Metabolism Response to Human Disturbances - 122:34:27
Stream Metabolism Response to Human Disturbances - 231:44:57
Aquatic Photosynthesis - 135:27:02
Aquatic Photosynthesis - 243:39:36
Workflow - 148:43:28
Vision: Automated & Fast63:21:47
Reality: Difficult & Time Consuming67:01:44
Picture - 176:57:12
Current Method - 178:25:55
Current Method - 298:33:36
Our Approach103:46:27
Data Sources114:24:01
KARMA - 1128:09:54
KARMA - 2138:15:04
Data Import142:48:04
Need to Clean Data - 1146:15:41
Need to Clean Data - 2156:22:53
Data Cleaning with KARMA - 1161:44:38
Data Cleaning with KARMA - 2163:40:05
Need to Integrate All the Sources172:30:02
Integrated Dataset187:57:48
KARMA Generates Data Processing Script - 1199:46:44
KARMA Generates Data Processing Script - 2204:47:17
KARMA Generates Data Processing Script - 3207:24:04
Publishing Processed Data to WINGS211:43:36
Semantic Metadata for Input Files - 1219:12:38
Semantic Metadata for Input Files - 2220:19:08
Workflows with WINGS231:38:21
WINGS Received Metadata from KARMA - 1247:28:37
WINGS Received Metadata from KARMA - 2248:06:55
Workflow - 2252:03:25
Using Metadata in Workflow Execution - 1268:07:26
Using Metadata in Workflow Execution - 2271:43:26
Using Metadata in Workflow Execution - 3280:33:20
Workflow Results - 1280:44:11
Workflow Results - 2287:49:52
Workflow Results Have Metadata302:49:32
WINGS Generates Provenance Metadata306:08:22
Aquatic Photosynthesis - 3315:13:22
Aquatic Photosynthesis - 4317:57:30
Aquatic Photosynthesis - 5327:42:32
Summary332:53:21
Related Work357:29:35
Thank you374:34:18