DBpedia German: Extensions and Applications
|
|
|
- Sophie McKinney
- 10 years ago
- Views:
Transcription
1 DBpedia German: Extensions and Applications Alexandru-Aurelian Todor FU-Berlin, Innovationsforum Semantic Media Web, 7. Oktober 2014
2 Overview Why DBpedia? New Developments in DBpedia German Problems in DBpedia 2
3 Why DBpedia? Knowledge Bases are the core of Intelligent Web Applications Gazetteerless NER Question Answering Engines Document Enrichment Relation Extraction Event Detection Large web companies are developing their own alternatives Google Knowledge Graph/Freebase Microsoft Satori KB Wikidata Yahoo Knowledge Graph IBM Watson API, Wolfram Alpha etc. 3
4 DBpedia-LOD Cloud 4
5 International DBpedia Chapters Goal: provide additional resources for extraction, access, services, language specific endpoints and services language specific extension German Chapter addresses German Language URL: 5
6 DBpedia German: What We Offer DBpedia German Data Dumps: DBpedia German SPARQL Endpoint: DBpedia German Spotlight: DBpedia German Live: DBpedia German Live Changesets: Improved interlinking data, e.g. Linked Hypernyms Dataset (hypernyms from the first sentences) 6
7 DBpedia German Statistics Property Value Triples 146 Million Classes 206 Entities 4.3 Million Distinct Subjects 7.6 Million Properties Distinct Objects 36.7 Million Category Improvement Mappings >30% Missing Labels >300% 7
8 DBpedia German Infrastructure Main Sever 1: CPU: 2x Hexacore Xeon Ivy Bridge => 24 vcores Memory: 256 GB Ram SDD ~ 1TB Raid 5 Array HDD ~ 10 TB Raid 5 Array Secondary Servers 2: CPU: Quadcore Xeon Sandy Bridge: =>16 vcores Memory: 32 GB x2 HDD: 1TB RPM x2 8
9 Problems In DBpedia Ontology & Missing Data Missing Labels Missing Types Editing Capabilities Administration 9
10 Missing Labels Why Missing Labels are a problem? People don t understand the ontology New classes and properties are created needlessly Not a true multilingual ontology Language Missing Class Labels Missing Property Labels German French Spanish Italian Polish
11 Missing Labels How Do We Address the Problem Automatically Translate Labels using Translation services Present translation suggestions to editors in a batch mode Allow editors to edit and commit multiple translations at the same time 11
12 Missing Labels: Missingbot Bot-framework for editing the MappingsWiki Rest service for communicating with the mappings wiki and other applications Plugins for the Mappings Wiki in order to review added information 12
13 MissingBot Label Translations 14
14 Missing Types Why are Missing Types a Problem? rdf:type statements are the main way we query a KB Without precise type information there is no easy way to say Which CDU politicians born in berlin List all capitals in Europe List all actors (schauschpieler) in Berlin Without precise type information NER annotations are imprecise You can t filter out or select specific entities Ex: annotate only politicians, or software companies in a text document 15
15 Missing Types Solution: Linked Hypernyms Dataset Cooperation with the Prague University of Economics Extract type information from Hypernyms Significant improvement over instance-types dataset DBpedia Instance Types LHD 1.0 LHD 2.0 Nr. of resources New resources N/A Improvement N/A 52.5 % 44.3% 16
16 LHD Examples from the German DBpedia Dbpedia Resource Dbpedia Types LHD 1.0 Type LHD 2.0 Types esource/brad_pitt esource/tom_hanks wikidata:q5 owl:thing schemaorg:person wikidata:q dul:agent dul:naturalperson dbo:agent dbo:person dbo:actor dbo:actor same dbo:actor dbo:actor esource/wladimir_wladi mirowitsch_putin same dbo:politician dbo:politician esource/barack_obama esource/berlin esource/leipzig same dbo:politician dbo:politician schemaorg:place odp:location dbo:place wikidata:q532 opengis:_feature Same + dbo:populatedplace dbo:settlement urce/capital_city age/großstadt dbo:place dbo:place 17
17 Missing Ontology Editing Capabilities Why are Missing Ontology Editing Capabilities a problem? No good overview of the Ontology No efficient Way to rename or reorganize classes No efficient way to align the ontology with other ontologies 18
18 Missing Ontology Editing Capabilities Web Protégé Integration How to solve the Ontology Editing Problem? Use an advanced Collaborative Ontology Editor Solve the compatibility problem by integrating the editor into the existing framework Solve authentication and synchronization problems Architecture: 19
19 Missing Editing Capabilities 20
20 Why Administration is a Problem Configuring the different DBpedia services is a very complex task DBpedia Static: configuring the abstract extraction, generating datasets and importing them into virtuoso DBpedia Live: creating a Syncwiki, configuring the live extraction and an endpoint for the streaming updates DBpedia Spotlight: configuring a Hadoop cluster for dataset generation and then configuring a rest service DBpedia Lookup: generating the index for the lookup service Debugging: Problems are very specific to a configuration, there is no way to inspect specific issues without replicating the envirtonment 21
21 Addressing the Administration Problem Container Virtualisation Package the different dbpedia services in docker containers Share Conainers together with the configuration Docker Build once run everywhere Filesystem-level versioning Small containers Easy deployment Docker HUB Share Containers Push and Pull ndru/ 22
22 Addressing the Administration Problem: DBpedia+Docker DBpedia Spotlight Static Endpoint Live Endpoint Static Extraction Dockerized DBpedia Live Extraction DBpedia SyncWiki 23
23 Thank You!
Linked Open Data Infrastructure for Public Sector Information: Example from Serbia
Proceedings of the I-SEMANTICS 2012 Posters & Demonstrations Track, pp. 26-30, 2012. Copyright 2012 for the individual papers by the papers' authors. Copying permitted only for private and academic purposes.
LinkZoo: A linked data platform for collaborative management of heterogeneous resources
LinkZoo: A linked data platform for collaborative management of heterogeneous resources Marios Meimaris, George Alexiou, George Papastefanatos Institute for the Management of Information Systems, Research
QAD Business Intelligence Release Notes
QAD Business Intelligence Release Notes September 2008 These release notes include information about the latest QAD Business Intelligence (QAD BI) fixes and changes. These changes may affect the way you
Semantic SharePoint. Technical Briefing. Helmut Nagy, Semantic Web Company Andreas Blumauer, Semantic Web Company
Semantic SharePoint Technical Briefing Helmut Nagy, Semantic Web Company Andreas Blumauer, Semantic Web Company What is Semantic SP? a joint venture between iquest and Semantic Web Company, initiated in
Pcounter. Category Characteristics. Unified print room management Print policies and rules Product-based job processing Print queue management
Pcounter Category Characteristics Output Management Unified print room management Print policies and rules Product-based job processing Print queue management TAKING CONTROL WITH PROFESSIONAL OUTPUT MANAGEMENT
XProtect Corporate 2013
Release note Milestone XProtect Corporate 2013 May 21, 2013 It is with great pleasure that we announce the release of: XProtect Corporate 2013 High performance for high security XProtect Corporate is powerful
Revealing Trends and Insights in Online Hiring Market Using Linking Open Data Cloud: Active Hiring a Use Case Study
Revealing Trends and Insights in Online Hiring Market Using Linking Open Data Cloud: Active Hiring a Use Case Study Amar-Djalil Mezaour 1, Julien Law-To 1, Robert Isele 3, Thomas Schandl 2, and Gerd Zechmeister
N8103-149/150/151/160 RAID Controller. N8103-156 MegaRAID CacheCade. Feature Overview
N8103-149/150/151/160 RAID Controller N8103-156 MegaRAID CacheCade Feature Overview April 2012 Rev.1.0 NEC Corporation Contents 1 Introduction... 3 2 Types of RAID Controllers... 3 3 New Features of RAID
Low-cost Open Data As-a-Service in the Cloud
Low-cost Open Data As-a-Service in the Cloud Marin Dimitrov, Alex Simov, Yavor Petkov Ontotext AD, Bulgaria {first.last}@ontotext.com Abstract. In this paper we present the architecture and prototype of
Open Cloud System. (Integration of Eucalyptus, Hadoop and AppScale into deployment of University Private Cloud)
Open Cloud System (Integration of Eucalyptus, Hadoop and into deployment of University Private Cloud) Thinn Thu Naing University of Computer Studies, Yangon 25 th October 2011 Open Cloud System University
Very Large Enterprise Network Deployment, 25,000+ Users
Very Large Enterprise Network Deployment, 25,000+ Users Websense software can be deployed in different configurations, depending on the size and characteristics of the network, and the organization s filtering
White Paper November 2015. Technical Comparison of Perspectium Replicator vs Traditional Enterprise Service Buses
White Paper November 2015 Technical Comparison of Perspectium Replicator vs Traditional Enterprise Service Buses Our Evolutionary Approach to Integration With the proliferation of SaaS adoption, a gap
K@ A collaborative platform for knowledge management
White Paper K@ A collaborative platform for knowledge management Quinary SpA www.quinary.com via Pietrasanta 14 20141 Milano Italia t +39 02 3090 1500 f +39 02 3090 1501 Copyright 2004 Quinary SpA Index
Microsoft Dynamics CRM 2011 Guide to features and requirements
Guide to features and requirements New or existing Dynamics CRM Users, here s what you need to know about CRM 2011! This guide explains what new features are available and what hardware and software requirements
Storage Sync for Hyper-V. Installation Guide for Microsoft Hyper-V
Installation Guide for Microsoft Hyper-V Egnyte Inc. 1890 N. Shoreline Blvd. Mountain View, CA 94043, USA Phone: 877-7EGNYTE (877-734-6983) www.egnyte.com 2013 by Egnyte Inc. All rights reserved. Revised
owncloud Enterprise Edition on IBM Infrastructure
owncloud Enterprise Edition on IBM Infrastructure A Performance and Sizing Study for Large User Number Scenarios Dr. Oliver Oberst IBM Frank Karlitschek owncloud Page 1 of 10 Introduction One aspect of
Cost-Effective Business Intelligence with Red Hat and Open Source
Cost-Effective Business Intelligence with Red Hat and Open Source Sherman Wood Director, Business Intelligence, Jaspersoft September 3, 2009 1 Agenda Introductions Quick survey What is BI?: reporting,
Sage 200 On Premise. System Requirements and Prerequisites
Sage 200 On Premise System Requirements and Prerequisites v2013 Copyright statement Sage (UK) Limited and Sage Hibernia Limited, 2013. All rights reserved. If this documentation includes advice or information
Graph Database Performance: An Oracle Perspective
Graph Database Performance: An Oracle Perspective Xavier Lopez, Ph.D. Senior Director, Product Management 1 Copyright 2012, Oracle and/or its affiliates. All rights reserved. Program Agenda Broad Perspective
BIG DATA AGGREGATOR STASINOS KONSTANTOPOULOS NCSR DEMOKRITOS, GREECE. Big Data Europe
BIG DATA AGGREGATOR STASINOS KONSTANTOPOULOS NCSR DEMOKRITOS, GREECE Big Data Europe The Big Data Aggregator The Big Data Aggregator: o A general-purpose architecture for processing Big Data o An implementation
LDIF - Linked Data Integration Framework
LDIF - Linked Data Integration Framework Andreas Schultz 1, Andrea Matteini 2, Robert Isele 1, Christian Bizer 1, and Christian Becker 2 1. Web-based Systems Group, Freie Universität Berlin, Germany [email protected],
Big Graph Analytics on Neo4j with Apache Spark. Michael Hunger Original work by Kenny Bastani Berlin Buzzwords, Open Stage
Big Graph Analytics on Neo4j with Apache Spark Michael Hunger Original work by Kenny Bastani Berlin Buzzwords, Open Stage My background I only make it to the Open Stages :) Probably because Apache Neo4j
Publishing Linked Data Requires More than Just Using a Tool
Publishing Linked Data Requires More than Just Using a Tool G. Atemezing 1, F. Gandon 2, G. Kepeklian 3, F. Scharffe 4, R. Troncy 1, B. Vatant 5, S. Villata 2 1 EURECOM, 2 Inria, 3 Atos Origin, 4 LIRMM,
Microsoft SharePoint Server 2010
Microsoft SharePoint Server 2010 Small Farm Performance Study Dell SharePoint Solutions Ravikanth Chaganti and Quocdat Nguyen November 2010 THIS WHITE PAPER IS FOR INFORMATIONAL PURPOSES ONLY, AND MAY
Accelerating Enterprise Applications and Reducing TCO with SanDisk ZetaScale Software
WHITEPAPER Accelerating Enterprise Applications and Reducing TCO with SanDisk ZetaScale Software SanDisk ZetaScale software unlocks the full benefits of flash for In-Memory Compute and NoSQL applications
Building a BI Solution in the Cloud
Building a BI Solution in the Cloud Stacia Varga, Principal Consultant Email: [email protected] Twitter: @_StaciaV_ 2 SQLSaturday #467 Sponsors Stacia (Misner) Varga Over 30 years of IT experience,
Hardware and Software Requirements for Server Applications
Hardware and Software Requirements for Server Applications IVS Enterprise Server Version 11.3+ RMG Networks Holding Corporation All Rights Reserved. Rev 9/14 TABLE OF CONTENTS INTRODUCTION...3 Minimum
Very Large Enterprise Network, Deployment, 25000+ Users
Very Large Enterprise Network, Deployment, 25000+ Users Websense software can be deployed in different configurations, depending on the size and characteristics of the network, and the organization s filtering
Cisco TelePresence Management Suite
Data Sheet Centralized orchestration and management across the telepresence network Product Overview Figure 1. Cisco TelePresence Management Suite (Cisco TMS) provides complete control and management of
A Performance Analysis of Distributed Indexing using Terrier
A Performance Analysis of Distributed Indexing using Terrier Amaury Couste Jakub Kozłowski William Martin Indexing Indexing Used by search
Cisco TelePresence Management Suite
Data Sheet Product Overview Figure 1. Cisco TelePresence Management Suite (Cisco TMS) provides complete control and management of telepresence conferencing and media services infrastructure and endpoints,
Microsoft SharePoint Server 2010
Microsoft SharePoint Server 2010 Medium Farm Solution Performance Study Dell SharePoint Solutions Ravikanth Chaganti and Quocdat Nguyen August 2010 THIS WHITE PAPER IS FOR INFORMATIONAL PURPOSES ONLY,
ELIS Multimedia Lab. Linked Open Data. Sam Coppens MMLab IBBT - UGent
Linked Open Data Sam Coppens MMLab IBBT - UGent Overview: Linked Open Data: Principles Interlinking Data LOD Server Tools Linked Open Data: Principles Term Linked Data was first coined by Tim Berners Lee
Geospatial Data and the Semantic Web. The GeoKnow Project. Sebastian Hellmann AKSW/KILT research group, Leipzig University & DBpedia Association
spatial Data and the Semantic Web The Geo Project Sebastian Hellmann AKSW/KILT research group, Leipzig University & DBpedia Association # About the project Collaborative Project 2012-2015 Information and
D&B360. Installation and Administration Guide. for Microsoft Dynamics CRM. Version 3.0
D&B360 Installation and Administration Guide for Microsoft Dynamics CRM Version 3.0 D&B360 is a trademark or registered trademark of Dun and Bradstreet, Incorporated. Other trademarks used herein are the
Pulsar Realtime Analytics At Scale. Tony Ng April 14, 2015
Pulsar Realtime Analytics At Scale Tony Ng April 14, 2015 Big Data Trends Bigger data volumes More data sources DBs, logs, behavioral & business event streams, sensors Faster analysis Next day to hours
Mediasite EX server deployment guide
Mediasite EX server deployment guide 2008 Sonic Foundry, Inc. All rights reserved. No part of this document may be copied and/or redistributed without the consent of Sonic Foundry, Inc. Additional copies
Sharp Remote Device Manager (SRDM) Server Software Setup Guide
Sharp Remote Device Manager (SRDM) Server Software Setup Guide This Guide explains how to install the software which is required in order to use Sharp Remote Device Manager (SRDM). SRDM is a web-based
Soma: Linked Data Infrastructure
Soma: Linked Data Infrastructure What is Soma? It s Big Data Candy for the Cloud. The Soma platform helps Data Scientist to collaborate together to discover and share new facts from large datasets hosted
VIVO Dashboard A Drupal-based tool for harvesting and executing sophisticated queries against data from a VIVO instance
VIVO Dashboard A Drupal-based tool for harvesting and executing sophisticated queries against data from a VIVO instance! Paul Albert, Miles Worthington and Don Carpenter Chapter I: The Problem Administrators
Cisco TelePresence Management Suite Extension for Microsoft Exchange
Data Sheet Cisco TelePresence Management Suite Extension for Microsoft Exchange Product Overview Cisco TelePresence Management Suite Extension for Microsoft Exchange (Cisco TMSXE) is an extension for Cisco
Microsoft Dynamics CRM 2011 New Features
Microsoft Dynamics CRM 2011 New Features Jim Wang Darren Liu Chapter No. 1 "Setting Up the Development Workspace" In this package, you will find: A Biography of the authors of the book A preview chapter
Adonis Technical Requirements
Information Sheet Adonis Technical Requirements CONTENTS Contents... 1 Adonis Project Implementation... 1 Host Installation / Onboard Installation Full replication (LARGER Vessels):... 1 Onboard installation
Data-Flow Awareness in Parallel Data Processing
Data-Flow Awareness in Parallel Data Processing D. Bednárek, J. Dokulil *, J. Yaghob, F. Zavoral Charles University Prague, Czech Republic * University of Vienna, Austria 6 th International Symposium on
Software and Hardware Requirements
Software and Hardware Requirements Version: 5 Last Changed: 17/07/2012 Arena Group Limited, a a company registered registered in England in England Wales, and Wales, registered registered no. 02168309.
COMP9321 Web Application Engineering
COMP9321 Web Application Engineering Semester 2, 2015 Dr. Amin Beheshti Service Oriented Computing Group, CSE, UNSW Australia Week 11 (Part II) http://webapps.cse.unsw.edu.au/webcms2/course/index.php?cid=2411
GATE Mímir and cloud services. Multi-paradigm indexing and search tool Pay-as-you-go large-scale annotation
GATE Mímir and cloud services Multi-paradigm indexing and search tool Pay-as-you-go large-scale annotation GATE Mímir GATE Mímir is an indexing system for GATE documents. Mímir can index: Text: the original
HEAT Endpoint Management and Security Suite 8.4. Server Install Guide
8.4 Server Install Guide - 2 - Notices Version Information Server Install Guide; - HEAT Endpoint Management and Security Suite Version 8.4 - Published: May 2016 Document Number: 02_202_8.4_161251152 Copyright
LINKED DATA EXPERIENCE AT MACMILLAN Building discovery services for scientific and scholarly content on top of a semantic data model
LINKED DATA EXPERIENCE AT MACMILLAN Building discovery services for scientific and scholarly content on top of a semantic data model 22 October 2014 Tony Hammond Michele Pasin Background About Macmillan
Benchmarking the Performance of Storage Systems that expose SPARQL Endpoints
Benchmarking the Performance of Storage Systems that expose SPARQL Endpoints Christian Bizer 1 and Andreas Schultz 1 1 Freie Universität Berlin, Web-based Systems Group, Garystr. 21, 14195 Berlin, Germany
McAfee Network Security Platform 8.2
8.2.7.71-8.2.3.84 Manager-Mxx30-series Release Notes McAfee Network Security Platform 8.2 Revision B Contents About this release New features Enhancements Resolved Issues Installation instructions Known
Setting Up the Development Workspace
Setting Up the Development Workspace The first step in this project is to set up a workspace, so you can build, test, and verify all of the components that we are going to put together in Microsoft Dynamics
Legal Notices... 2. Introduction... 3
HP Asset Manager Asset Manager 5.10 Sizing Guide Using the Oracle Database Server, or IBM DB2 Database Server, or Microsoft SQL Server Legal Notices... 2 Introduction... 3 Asset Manager Architecture...
Building the Multilingual Web of Data: A Hands-on tutorial (ISWC 2014, Riva del Garda - Italy)
Building the Multilingual Web of Data: A Hands-on tutorial (ISWC 2014, Riva del Garda - Italy) Multilingual Word Sense Disambiguation and Entity Linking on the Web based on BabelNet Roberto Navigli, Tiziano
Client-aware Cloud Storage
Client-aware Cloud Storage Feng Chen Computer Science & Engineering Louisiana State University Michael Mesnier Circuits & Systems Research Intel Labs Scott Hahn Circuits & Systems Research Intel Labs Cloud
Benchmarking Cassandra on Violin
Technical White Paper Report Technical Report Benchmarking Cassandra on Violin Accelerating Cassandra Performance and Reducing Read Latency With Violin Memory Flash-based Storage Arrays Version 1.0 Abstract
Industry 4.0 and Big Data
Industry 4.0 and Big Data Marek Obitko, [email protected] Senior Research Engineer 03/25/2015 PUBLIC PUBLIC - 5058-CO900H 2 Background Joint work with Czech Institute of Informatics, Robotics and
Deliverable 2.1.4. 150 Billion Triple dataset hosted on the LOD2 Knowledge Store Cluster. LOD2 Creating Knowledge out of Interlinked Data
Collaborative Project LOD2 Creating Knowledge out of Interlinked Data Project Number: 257943 Start Date of Project: 01/09/2010 Duration: 48 months Deliverable 2.1.4 150 Billion Triple dataset hosted on
MapReduce and Distributed Data Analysis. Sergei Vassilvitskii Google Research
MapReduce and Distributed Data Analysis Google Research 1 Dealing With Massive Data 2 2 Dealing With Massive Data Polynomial Memory Sublinear RAM Sketches External Memory Property Testing 3 3 Dealing With
Oracle Big Data SQL Technical Update
Oracle Big Data SQL Technical Update Jean-Pierre Dijcks Oracle Redwood City, CA, USA Keywords: Big Data, Hadoop, NoSQL Databases, Relational Databases, SQL, Security, Performance Introduction This technical
Arrow ECS sp. z o.o. Oracle Partner Academy training environment with Oracle Virtualization. Oracle Partner HUB
Oracle Partner Academy training environment with Oracle Virtualization Technology Oracle Partner HUB Overview Description of technology The idea of creating new training centre was to attain light and
iway Roadmap: 2011 and Beyond Dave Watson SVP, iway Software
iway Roadmap: 2011 and Beyond Dave Watson SVP, iway Software iway Software Products DataMigrator Core Integration Server iway Service Manager Information Management/Data Governance B2B Gateway Managed
MS 8912A: Customization and Configuration in Microsoft Dynamics CRM 4.0
MS 8912A: Customization and Configuration in Microsoft Dynamics CRM 4.0 Description: This three-day instructor-led course provides students with the tools to configure and customize Microsoft Dynamics
Toolbox 4.3. System Requirements
Toolbox 4.3 February 2015 Contents Introduction... 2 Requirements for Toolbox 4.3... 3 Toolbox Applications... 3 Installing on Multiple Computers... 3 Concurrent Loading, Importing, Processing... 4 Client...
XenDesktop 7 Database Sizing
XenDesktop 7 Database Sizing Contents Disclaimer... 3 Overview... 3 High Level Considerations... 3 Site Database... 3 Impact of failure... 4 Monitoring Database... 4 Impact of failure... 4 Configuration
Big Data Technologies Compared June 2014
Big Data Technologies Compared June 2014 Agenda What is Big Data Big Data Technology Comparison Summary Other Big Data Technologies Questions 2 What is Big Data by Example The SKA Telescope is a new development
Querying DBpedia Using HIVE-QL
Querying DBpedia Using HIVE-QL AHMED SALAMA ISMAIL 1, HAYTHAM AL-FEEL 2, HODA M. O.MOKHTAR 3 Information Systems Department, Faculty of Computers and Information 1, 2 Fayoum University 3 Cairo University
a division of Technical Overview Xenos Enterprise Server 2.0
Technical Overview Enterprise Server 2.0 Enterprise Server Architecture The Enterprise Server (ES) platform addresses the HVTO business challenges facing today s enterprise. It provides robust, flexible
Big Data and Analytics: Challenges and Opportunities
Big Data and Analytics: Challenges and Opportunities Dr. Amin Beheshti Lecturer and Senior Research Associate University of New South Wales, Australia (Service Oriented Computing Group, CSE) Talk: Sharif
Business applications:
Consorzio COMETA - Progetto PI2S2 UNIONE EUROPEA Business applications: the COMETA approach Prof. Antonio Puliafito University of Messina Open Grid Forum (OGF25) Catania, 2-6.03.2009 www.consorzio-cometa.it
Deploying and administering Microsoft Dynamics CRM Online and Microsoft Dynamics CRM 2015
Deploying and administering Microsoft Dynamics CRM Online and Microsoft Dynamics CRM 2015 Version 7.1.1 This document contains the information that was titled the Microsoft Dynamics CRM Implementation
Managing a local Galaxy Instance. Anushka Brownley / Adam Kraut BioTeam Inc.
Managing a local Galaxy Instance Anushka Brownley / Adam Kraut BioTeam Inc. Agenda Who are we Why a local installation Local infrastructure Local installation Tips and Tricks SlipStream Appliance WHO ARE
An Oracle White Paper June 2011. Oracle Database Firewall 5.0 Sizing Best Practices
An Oracle White Paper June 2011 Oracle Database Firewall 5.0 Sizing Best Practices Introduction... 1 Component Overview... 1 Database Firewall Deployment Modes... 2 Sizing Hardware Requirements... 2 Database
Managing Enterprise Devices and Apps using System Center Configuration Manager
Course 20696B: Managing Enterprise Devices and Apps using System Center Configuration Manager Course Details Course Outline Module 1: Managing Desktops and Devices in the Enterprise This module explains
MS 10978A Introduction to Azure for Developers
MS 10978A Introduction to Azure for Developers Description: Days: 5 Prerequisites: This course offers students the opportunity to learn about Microsoft Azure development by taking an existing ASP.NET MVC
Yet Another Triple Store Benchmark? Practical Experiences with Real-World Data
Yet Another Triple Store Benchmark? Practical Experiences with Real-World Data Martin Voigt, Annett Mitschick, and Jonas Schulz Dresden University of Technology, Institute for Software and Multimedia Technology,
IMPLEMENTING GREEN IT
Saint Petersburg State University of Information Technologies, Mechanics and Optics Department of Telecommunication Systems IMPLEMENTING GREEN IT APPROACH FOR TRANSFERRING BIG DATA OVER PARALLEL DATA LINK
Cisco Data Preparation
Data Sheet Cisco Data Preparation Unleash your business analysts to develop the insights that drive better business outcomes, sooner, from all your data. As self-service business intelligence (BI) and
Hadoop Architecture. Part 1
Hadoop Architecture Part 1 Node, Rack and Cluster: A node is simply a computer, typically non-enterprise, commodity hardware for nodes that contain data. Consider we have Node 1.Then we can add more nodes,
Accelerating Hadoop MapReduce Using an In-Memory Data Grid
Accelerating Hadoop MapReduce Using an In-Memory Data Grid By David L. Brinker and William L. Bain, ScaleOut Software, Inc. 2013 ScaleOut Software, Inc. 12/27/2012 H adoop has been widely embraced for
BlackBerry Enterprise Server for Microsoft Exchange Version: 5.0 Service Pack: 2. Feature and Technical Overview
BlackBerry Enterprise Server for Microsoft Exchange Version: 5.0 Service Pack: 2 Feature and Technical Overview Published: 2010-06-16 SWDT305802-1108946-0615123042-001 Contents 1 Overview: BlackBerry Enterprise
Enabling Technologies for Distributed Computing
Enabling Technologies for Distributed Computing Dr. Sanjay P. Ahuja, Ph.D. Fidelity National Financial Distinguished Professor of CIS School of Computing, UNF Multi-core CPUs and Multithreading Technologies
Distributed File System. MCSN N. Tonellotto Complements of Distributed Enabling Platforms
Distributed File System 1 How do we get data to the workers? NAS Compute Nodes SAN 2 Distributed File System Don t move data to workers move workers to the data! Store data on the local disks of nodes
HADOOP ON ORACLE ZFS STORAGE A TECHNICAL OVERVIEW
HADOOP ON ORACLE ZFS STORAGE A TECHNICAL OVERVIEW 757 Maleta Lane, Suite 201 Castle Rock, CO 80108 Brett Weninger, Managing Director [email protected] Dave Smelker, Managing Principal [email protected]
White Paper. Recording Server Virtualization
White Paper Recording Server Virtualization Prepared by: Mike Sherwood, Senior Solutions Engineer Milestone Systems 23 March 2011 Table of Contents Introduction... 3 Target audience and white paper purpose...
