|
|
|
MauveDB: Supporting Model-based User Views in Data
|
|
MauveDB: Supporting Model-based User Views in Database Systems Amol Deshpande, University of Maryland Samuel Madden, MIT Motivation Unprecedented, and rapidly increasing, instrumentation of our every-day world Overwhelmingly large raw data volumes generated continuously Data must be processed in real-time The applications have strong acquisitional aspects Data may have to be actively acquired from the environment Typically imprecise, unreliable and incomplete data Inherent measurement noises (e.g. GPS) and low success rates (e.g. RFID) Communication link or sensor node failures (e.g. wireless sensor networks) Spatial and temporal biases because of measurement constraints Traditional data management tools are ill-equipped to handle these challenges
|
|
IT and Computers
-Database
|
|
By
Paull Shocker
|
|
Tags: MauveDB , Supporting Model-based User Views Database Systems , Amol Deshpande , University Maryland , Samuel Madden , MIT , Wireless Sensor Networks
|
|
|
|
|
|
|
|
|
|
WEB SERVICES
|
|
It is the sucess of the web that creates serious needs for its improvement. The web uses the computer as a device for rendering information for the human reader but neither for information processing nor computing. The semantic web is aiming on bringing back the computer as a information processing device
|
|
IT and Computers
-
|
|
By
Raashid Malik
|
|
Tags: Web Services , Semantic web , UDDI , SOAP , WSDL , RDF , OWL , OntoKnowledge , OIL , Ontology language , Semantic web services
|
|
|
|
|
|
|
|
|
|
Presentation Global Warming
|
|
|
|
Undergrad and Grad
-TOEFL
|
|
By
Earle Stone
|
|
Tags: Slide 1 , Slide 2 , Slide 3 , Slide 4 , Slide 5 , Slide 6 , Slide 7 , Slide 8 , Slide 9 , Slide 10 , Slide 11 , Slide 12 , Slide 13 , Slide 14 , Slide 15 , Slide 16 , Slide 17 , Slide 18 , Slide 19 , Slide 20 , Slide 21 , Slide 22 , Slide 23 , Slide 24 , Slide 25
|
|
|
|
|