'Heterogeneous data sources' presentation slideshows

CSEP 546 Data Mining

738 views • 63 slides

PHP

544 views • 45 slides

Describing data sources

Describing data sources. Outline. Overview Schema mapping languages. Source descriptions. Which sources are available What data exists in each source How each source can be accessed. Components of a data integration system.

629 views • 43 slides

The MOMIS approach for Information Integration

458 views • 36 slides

Online Science -- The World-Wide Telescope as an Archetype

554 views • 35 slides

Big data in agriculture

Big data in agriculture . Andreas Drakos Project Manager, Agro-Know. Presentation Outline. The importance of Big Data in Agriculture Major challenges The agINFRA and SemaGrow solutions Supporting Global Initiatives. Intro to OPEN DATA in agriculture.

3.57k views • 29 slides

Design of The PORTA EUROPA Portal (PEP) Pilot Project

Design of The PORTA EUROPA Portal (PEP) Pilot Project. Marco Pirri Maria Chiara Pettenati Electronics and Telecommunications Department University of Florence (Italy) Library European University Institute (EUI) San Domenico di Fiesole Florence (Italy). The aim of the project.

376 views • 29 slides

Chapter 13 Databases and the Internet

CSC 3800 Database Management Systems. Spring 2011. Time: 10:00 to 11:15. Meeting Days: MF. Location: Oxendine 1202. Textbook : Databases Illuminated , Author: Catherine M. Ricardo, 2004, Jones & Bartlett Publishers. Chapter 13 Databases and the Internet. Dr. Chuck Lillie.

390 views • 23 slides

A Software Architecture for Highly Data-Intensive Systems

A Software Architecture for Highly Data-Intensive Systems. Chris A. Mattmann mattmann@usc.edu USC Center for Software Engineering Annual Research Review March 2004. Special thanks to Dan Crichton, Steve Hughes, and Sean Kelly for some of the slides!. Overview. Motivation Problem Statement

377 views • 23 slides

Data Management for Peer-to-Peer Computing: A Vision

Data Management for Peer-to-Peer Computing: A Vision. Ali Rahbari. Outline. P2P Data Networks Why P2P Databases are Different A P2P Database Scenario A logic for P2P Databases Propagation Strategy Architecture and Implementation Issues. P2P Data Networks: Basic Notions. Node

345 views • 19 slides

SLUB Dresden and Avantgarde Labs

SLUB Dresden and Avantgarde Labs. d:swarm - a Data Management and Integration Platform http://dmp.slub-dresden.de. Jan Polowinski et al. d:swarm is an an Open Source Middleware for Data Integration. Discovery System. ERM Frontend. Frontend X. Web, LOD. LOD.

256 views • 14 slides

Scaling Sensors with Data Synthesis

Scaling Sensors with Data Synthesis. Catharine van Ingen eScience Group Microsoft Research. It was six * men of Indostan , to learning much inclined, Who went to see the elephant though all of them were blind, That each by observation, might satisfy his mind. * data reporting error.

229 views • 12 slides

ICS 421 Spring 2010 Data Warehousing (1)

ICS 421 Spring 2010 Data Warehousing (1). Asst. Prof. Lipyeow Lim Information & Computer Science Department University of Hawaii at Manoa. Motivation. Increasingly, organizations are analyzing current and historical data to identify useful patterns and support business strategies .

196 views • 11 slides

musicSpace mspace.fm/ Principle investigator: dr monica mc schraefel

193 views • 10 slides

Enhancing Organism Based Disease Knowledge Using Biological Taxonomy, and Environmental Ontologies

Enhancing Organism Based Disease Knowledge Using Biological Taxonomy, and Environmental Ontologies. Ken Baclawski Northeastern University Neil Sarkar Marine Biological Laboratory. Research Issues.

148 views • 9 slides

AQUAINT Mid-Year Workshop:

AQUAINT Mid-Year Workshop:. Jimmy Lin (jimmylin@ai.mit.edu) MIT Artificial Intelligence Laboratory. Observations and Comments. QA and IR. Question Answering as an extension of Information Retrieval. Document Retrieval. Passage Retrieval. + NLP Technology. Factoid Question Answering.

172 views • 9 slides

Enabling Collaboration Using the Biomedical Informatics Research Network (BIRN)

Enabling Collaboration Using the Biomedical Informatics Research Network (BIRN). Bruce Rosen M.D., Ph.D. Data Lifecycle and BIRN. (query metadata). Create metadata (tag the data). Find data of interest. (create provenance record). (move data). (workflow). Process and analyze data.

181 views • 8 slides

Towards Seamless Integration and Querying of Biological Data

135 views • 6 slides

Lowell Report

Lowell Report . Avi Silberschatz Department of Computer Science Yale University. The Web as a Multidatabase. Integration of heterogeneous data sources. Will we ever solve this problem?

169 views • 4 slides

An Interoperable Portal for the Historic Environment

Computing Laboratory and Archaeology Data Service. Goal Web Portal for parallel searching on geographically distributed, autonomous and heterogeneous Data Sources under Z39.50 Targets available at different partner organisations belonging to the Historic Environment domain. Access Points

120 views • 1 slides