Recommending Environmental Big Data Using Semantically Guided Machine Learning - Large Scale and Big Data: Processing and Management - page 462

15

Recommending
Environmental
Big Data Using
Semantically Guided
Machine Learning

Ritaban Dutta, Ahsan Morshed,
and Jagannath Aryal

CONTENTS
15.1 Introduction ..................................................................................................464
15.1.1 Environmental Big Data and Knowledge .........................................464
15.1.2 Big Data Sources .............................................................................. 465
15.1.3 Linked Open Data Approach ............................................................466
15.2 What Is Big Knowledge? .............................................................................. 468
15.2.1 Motivation and Workflow ................................................................. 468
15.3 Data to Knowledge Architecture .................................................................. 470
15.3.1 Web Adaptors Layer ......................................................................... 471
15.3.2 Data Harmonization Layer ............................................................... 472
15.3.3 Semantic Cross-Validation Layer ..................................................... 472
15.3.4 Feature Representation Layer ........................................................... 473
15.3.5 SOM-Based Knowledge Recommendation Layer ............................ 475
15.3.6 RDF Conversion and Triple Store Implementation Layer ................ 476
15.3.7 LOD Publishing Layer ...................................................................... 477
15.4 Big Knowledge Processing: Tullochgorum Case Study ............................... 477
15.4.1 Tullochgorum Site ............................................................................. 477
15.4.2 Time Series Processing ..................................................................... 478
15.4.2.1 Processing CosmOz Time Series ....................................... 478
15.4.2.2 Processing BOM-SILO Time Series.................................. 480
15.4.3 Gridded Data Processing .................................................................. 481
15.4.3.1 Processing ASRIS Map ..................................................... 481
15.4.3.2 Processing AWAP Map ...................................................... 482
15.4.4 Satellite Image Processing NASA MODIS ...................................... 482

463