SlideShare a Scribd company logo

PelletDb: Scalable Reasoning for Enterprise Semantics

•
•
C
Clark & Parsia LLC
TechnologyNews & Politics
1 of 16
Download to read offline
PelletDb: Scalable, Expressive Semantic Reasoning for the Enterprise 2010 Semantic Technology Conference Héctor Pérez-Urbina Clark & Parsia, LLC hector@clarkparsia.com
Who are we? Clark & Parsia is a semantic software startup Offices in DC & Cambridge, MA Software products for end-user & OEM use Provides software development and integration services Specializing in Semantic Web, web services, and advanced AI technologies for federal and enterprise customers http://clarkparsia.com/ Twitter: @candp
What is PelletDb? New reasoner that combines the best of two worlds: Clark & Parsia’s Pellet: expressive, in-memory OWL 2 reasoner Oracle Database Semantic Technologies: scalable, database-backed OWL/RDF reasoner
What is PelletDb? Pellet very expressive not sufficiently scalable for some workloads Oracle 11g R2 very scalable not sufficiently expressive for some problems PelletDb: more scalable & expressive than either Pellet or Oracle alone
What is PelletDb?
Max Expressivity Mode
Max Scalability Mode
Performance Max expressivity mode Schema & data extraction (Pellet) Reasoning (Pellet) Max scalability mode Schema extraction & reasoning (Pellet) Small percentage of time Data reasoning (Oracle) Performance evaluation at http://bit. ly/crNWuN
Benefits for Oracle customers More expressive reasoning: more complete SPARQL query answers Access to non-standard reasoning services Inference explanation SPARQL-DL query answering Incremental reasoning Closed-world integrity constraint validation Automated ontology modularization
Benefits for Pellet customers Access to Oracle’s world-class information management systems Scalability Security Replication Transaction support Oracle addons Enterprise ecosystem ready for OWL 2
Other RDF Datastores PelletDb technology is not specific to Oracle We are evaluating business case for highly optimized integrations with other RDF stores BigData Virtuoso 4Store/5Store ...
Roadmap Q3 2010 OWL-based integrity constraint validation for semantic & relational data Q1 2011 Semantic facade over existing data sources
IC Validation Database-like IC validation (Closed world, UNA) SPARQL translation Incremental validation "Using OWL in Closed-World Applications" by Evren Sirin - 3:30 pm
Semantic Facade Specialized OWL 2 QL reasoner Rewriting-based approach No data explosion Frequently changing data Efficient query answering
More info Clark & Parsia LLC http://clarkparsia.com/ PelletDb http://clarkparsia.com/pelletdb News, updates, tips/ticks on twitter #pelletdb
Questions?

Recommended

Internals of Speeding up PySpark with Arrow
Internals of Speeding up PySpark with Arrow Internals of Speeding up PySpark with Arrow
Internals of Speeding up PySpark with ArrowDatabricks
 
Big Data Meets Learning Science: Keynote by Al Essa
Big Data Meets Learning Science: Keynote by Al EssaBig Data Meets Learning Science: Keynote by Al Essa
Big Data Meets Learning Science: Keynote by Al EssaSpark Summit
 
Enancing Threat Detection with Big Data and AI
Enancing Threat Detection with Big Data and AIEnancing Threat Detection with Big Data and AI
Enancing Threat Detection with Big Data and AIDatabricks
 
Auto Scaling Systems With Elastic Spark Streaming: Spark Summit East talk by ...
Auto Scaling Systems With Elastic Spark Streaming: Spark Summit East talk by ...Auto Scaling Systems With Elastic Spark Streaming: Spark Summit East talk by ...
Auto Scaling Systems With Elastic Spark Streaming: Spark Summit East talk by ...Spark Summit
 
Understanding Oracle GoldenGate 12c
Understanding Oracle GoldenGate 12cUnderstanding Oracle GoldenGate 12c
Understanding Oracle GoldenGate 12cIT Help Desk Inc
 
Vectorized R Execution in Apache Spark
Vectorized R Execution in Apache SparkVectorized R Execution in Apache Spark
Vectorized R Execution in Apache SparkDatabricks
 
Spark SQL Adaptive Execution Unleashes The Power of Cluster in Large Scale wi...
Spark SQL Adaptive Execution Unleashes The Power of Cluster in Large Scale wi...Spark SQL Adaptive Execution Unleashes The Power of Cluster in Large Scale wi...
Spark SQL Adaptive Execution Unleashes The Power of Cluster in Large Scale wi...Databricks
 
How to Boost 100x Performance for Real World Application with Apache Spark-(G...
How to Boost 100x Performance for Real World Application with Apache Spark-(G...How to Boost 100x Performance for Real World Application with Apache Spark-(G...
How to Boost 100x Performance for Real World Application with Apache Spark-(G...Spark Summit
 

Recommended

Internals of Speeding up PySpark with Arrow
Internals of Speeding up PySpark with Arrow Internals of Speeding up PySpark with Arrow
Internals of Speeding up PySpark with ArrowDatabricks
 
Big Data Meets Learning Science: Keynote by Al Essa
Big Data Meets Learning Science: Keynote by Al EssaBig Data Meets Learning Science: Keynote by Al Essa
Big Data Meets Learning Science: Keynote by Al EssaSpark Summit
 
Enancing Threat Detection with Big Data and AI
Enancing Threat Detection with Big Data and AIEnancing Threat Detection with Big Data and AI
Enancing Threat Detection with Big Data and AIDatabricks
 
Auto Scaling Systems With Elastic Spark Streaming: Spark Summit East talk by ...
Auto Scaling Systems With Elastic Spark Streaming: Spark Summit East talk by ...Auto Scaling Systems With Elastic Spark Streaming: Spark Summit East talk by ...
Auto Scaling Systems With Elastic Spark Streaming: Spark Summit East talk by ...Spark Summit
 
Understanding Oracle GoldenGate 12c
Understanding Oracle GoldenGate 12cUnderstanding Oracle GoldenGate 12c
Understanding Oracle GoldenGate 12cIT Help Desk Inc
 
Vectorized R Execution in Apache Spark
Vectorized R Execution in Apache SparkVectorized R Execution in Apache Spark
Vectorized R Execution in Apache SparkDatabricks
 
Spark SQL Adaptive Execution Unleashes The Power of Cluster in Large Scale wi...
Spark SQL Adaptive Execution Unleashes The Power of Cluster in Large Scale wi...Spark SQL Adaptive Execution Unleashes The Power of Cluster in Large Scale wi...
Spark SQL Adaptive Execution Unleashes The Power of Cluster in Large Scale wi...Databricks
 
How to Boost 100x Performance for Real World Application with Apache Spark-(G...
How to Boost 100x Performance for Real World Application with Apache Spark-(G...How to Boost 100x Performance for Real World Application with Apache Spark-(G...
How to Boost 100x Performance for Real World Application with Apache Spark-(G...Spark Summit
 
Spark ML Pipeline serving
Spark ML Pipeline servingSpark ML Pipeline serving
Spark ML Pipeline servingStepan Pushkarev
 
Spark with Delta Lake
Spark with Delta LakeSpark with Delta Lake
Spark with Delta LakeKnoldus Inc.
 
Hadoop and Spark-Perfect Together-(Arun C. Murthy, Hortonworks)
Hadoop and Spark-Perfect Together-(Arun C. Murthy, Hortonworks)Hadoop and Spark-Perfect Together-(Arun C. Murthy, Hortonworks)
Hadoop and Spark-Perfect Together-(Arun C. Murthy, Hortonworks)Spark Summit
 
Data Distribution and Ordering for Efficient Data Source V2
Data Distribution and Ordering for Efficient Data Source V2Data Distribution and Ordering for Efficient Data Source V2
Data Distribution and Ordering for Efficient Data Source V2Databricks
 
SQL Analytics Powering Telemetry Analysis at Comcast
SQL Analytics Powering Telemetry Analysis at ComcastSQL Analytics Powering Telemetry Analysis at Comcast
SQL Analytics Powering Telemetry Analysis at ComcastDatabricks
 
AUSOUG - NZOUG-GroundBreakers-Jun 2019 - AI and Machine Learning
AUSOUG - NZOUG-GroundBreakers-Jun 2019 - AI and Machine LearningAUSOUG - NZOUG-GroundBreakers-Jun 2019 - AI and Machine Learning
AUSOUG - NZOUG-GroundBreakers-Jun 2019 - AI and Machine LearningSandesh Rao
 
Extending Machine Learning Algorithms with PySpark
Extending Machine Learning Algorithms with PySparkExtending Machine Learning Algorithms with PySpark
Extending Machine Learning Algorithms with PySparkDatabricks
 
Accelerating Apache Spark-based Analytics on Intel Architecture-(Michael Gree...
Accelerating Apache Spark-based Analytics on Intel Architecture-(Michael Gree...Accelerating Apache Spark-based Analytics on Intel Architecture-(Michael Gree...
Accelerating Apache Spark-based Analytics on Intel Architecture-(Michael Gree...Spark Summit
 
Time Series Analysis Using an Event Streaming Platform
Time Series Analysis Using an Event Streaming Platform Time Series Analysis Using an Event Streaming Platform
Time Series Analysis Using an Event Streaming PlatformDr. Mirko Kämpf
 
ApacheCon 2015 - A Stock Prediction System Using OSS
ApacheCon 2015 - A Stock Prediction System Using OSSApacheCon 2015 - A Stock Prediction System Using OSS
ApacheCon 2015 - A Stock Prediction System Using OSSWilliam Markito Oliveira
 
KFServing, Model Monitoring with Apache Spark and a Feature Store
KFServing, Model Monitoring with Apache Spark and a Feature StoreKFServing, Model Monitoring with Apache Spark and a Feature Store
KFServing, Model Monitoring with Apache Spark and a Feature StoreDatabricks
 
Using Spark Mllib Models in a Production Training and Serving Platform: Exper...
Using Spark Mllib Models in a Production Training and Serving Platform: Exper...Using Spark Mllib Models in a Production Training and Serving Platform: Exper...
Using Spark Mllib Models in a Production Training and Serving Platform: Exper...Databricks
 
Spark Development Lifecycle at Workday - ApacheCon 2020
Spark Development Lifecycle at Workday - ApacheCon 2020Spark Development Lifecycle at Workday - ApacheCon 2020
Spark Development Lifecycle at Workday - ApacheCon 2020Pavel Hardak
 
Apache Spark Model Deployment
Apache Spark Model Deployment Apache Spark Model Deployment
Apache Spark Model Deployment Databricks
 
Spark Interview Questions and Answers | Apache Spark Interview Questions | Sp...
Spark Interview Questions and Answers | Apache Spark Interview Questions | Sp...Spark Interview Questions and Answers | Apache Spark Interview Questions | Sp...
Spark Interview Questions and Answers | Apache Spark Interview Questions | Sp...Edureka!
 
Scalable Machine Learning Pipeline For Meta Data Discovery From eBay Listings
Scalable Machine Learning Pipeline For Meta Data Discovery From eBay ListingsScalable Machine Learning Pipeline For Meta Data Discovery From eBay Listings
Scalable Machine Learning Pipeline For Meta Data Discovery From eBay ListingsSpark Summit
 
Spark SQL Tutorial | Spark Tutorial for Beginners | Apache Spark Training | E...
Spark SQL Tutorial | Spark Tutorial for Beginners | Apache Spark Training | E...Spark SQL Tutorial | Spark Tutorial for Beginners | Apache Spark Training | E...
Spark SQL Tutorial | Spark Tutorial for Beginners | Apache Spark Training | E...Edureka!
 
Top 20 FAQs on the Autonomous Database
Top 20 FAQs on the Autonomous DatabaseTop 20 FAQs on the Autonomous Database
Top 20 FAQs on the Autonomous DatabaseSandesh Rao
 
Using Deep Learning on Apache Spark to Diagnose Thoracic Pathology from Chest...
Using Deep Learning on Apache Spark to Diagnose Thoracic Pathology from Chest...Using Deep Learning on Apache Spark to Diagnose Thoracic Pathology from Chest...
Using Deep Learning on Apache Spark to Diagnose Thoracic Pathology from Chest...Databricks
 
NLP-Focused Applied ML at Scale for Global Fleet Analytics at ExxonMobil
NLP-Focused Applied ML at Scale for Global Fleet Analytics at ExxonMobilNLP-Focused Applied ML at Scale for Global Fleet Analytics at ExxonMobil
NLP-Focused Applied ML at Scale for Global Fleet Analytics at ExxonMobilDatabricks
 
Big Data for Data Scientists - WeCloudData
Big Data for Data Scientists - WeCloudDataBig Data for Data Scientists - WeCloudData
Big Data for Data Scientists - WeCloudDataWeCloudData
 
Oracle to Cassandra Core Concepts Guid Part 1: A new hope
Oracle to Cassandra Core Concepts Guid Part 1: A new hopeOracle to Cassandra Core Concepts Guid Part 1: A new hope
Oracle to Cassandra Core Concepts Guid Part 1: A new hopeDataStax
 

More Related Content

What's hot

Spark with Delta Lake
Spark with Delta LakeSpark with Delta Lake
Spark with Delta LakeKnoldus Inc.
 
Hadoop and Spark-Perfect Together-(Arun C. Murthy, Hortonworks)
Hadoop and Spark-Perfect Together-(Arun C. Murthy, Hortonworks)Hadoop and Spark-Perfect Together-(Arun C. Murthy, Hortonworks)
Hadoop and Spark-Perfect Together-(Arun C. Murthy, Hortonworks)Spark Summit
 
Data Distribution and Ordering for Efficient Data Source V2
Data Distribution and Ordering for Efficient Data Source V2Data Distribution and Ordering for Efficient Data Source V2
Data Distribution and Ordering for Efficient Data Source V2Databricks
 
SQL Analytics Powering Telemetry Analysis at Comcast
SQL Analytics Powering Telemetry Analysis at ComcastSQL Analytics Powering Telemetry Analysis at Comcast
SQL Analytics Powering Telemetry Analysis at ComcastDatabricks
 
AUSOUG - NZOUG-GroundBreakers-Jun 2019 - AI and Machine Learning
AUSOUG - NZOUG-GroundBreakers-Jun 2019 - AI and Machine LearningAUSOUG - NZOUG-GroundBreakers-Jun 2019 - AI and Machine Learning
AUSOUG - NZOUG-GroundBreakers-Jun 2019 - AI and Machine LearningSandesh Rao
 
Extending Machine Learning Algorithms with PySpark
Extending Machine Learning Algorithms with PySparkExtending Machine Learning Algorithms with PySpark
Extending Machine Learning Algorithms with PySparkDatabricks
 
Accelerating Apache Spark-based Analytics on Intel Architecture-(Michael Gree...
Accelerating Apache Spark-based Analytics on Intel Architecture-(Michael Gree...Accelerating Apache Spark-based Analytics on Intel Architecture-(Michael Gree...
Accelerating Apache Spark-based Analytics on Intel Architecture-(Michael Gree...Spark Summit
 
Time Series Analysis Using an Event Streaming Platform
Time Series Analysis Using an Event Streaming Platform Time Series Analysis Using an Event Streaming Platform
Time Series Analysis Using an Event Streaming PlatformDr. Mirko Kämpf
 
ApacheCon 2015 - A Stock Prediction System Using OSS
ApacheCon 2015 - A Stock Prediction System Using OSSApacheCon 2015 - A Stock Prediction System Using OSS
ApacheCon 2015 - A Stock Prediction System Using OSSWilliam Markito Oliveira
 
KFServing, Model Monitoring with Apache Spark and a Feature Store
KFServing, Model Monitoring with Apache Spark and a Feature StoreKFServing, Model Monitoring with Apache Spark and a Feature Store
KFServing, Model Monitoring with Apache Spark and a Feature StoreDatabricks
 
Using Spark Mllib Models in a Production Training and Serving Platform: Exper...
Using Spark Mllib Models in a Production Training and Serving Platform: Exper...Using Spark Mllib Models in a Production Training and Serving Platform: Exper...
Using Spark Mllib Models in a Production Training and Serving Platform: Exper...Databricks
 
Spark Development Lifecycle at Workday - ApacheCon 2020
Spark Development Lifecycle at Workday - ApacheCon 2020Spark Development Lifecycle at Workday - ApacheCon 2020
Spark Development Lifecycle at Workday - ApacheCon 2020Pavel Hardak
 
Apache Spark Model Deployment
Apache Spark Model Deployment Apache Spark Model Deployment
Apache Spark Model Deployment Databricks
 
Spark Interview Questions and Answers | Apache Spark Interview Questions | Sp...
Spark Interview Questions and Answers | Apache Spark Interview Questions | Sp...Spark Interview Questions and Answers | Apache Spark Interview Questions | Sp...
Spark Interview Questions and Answers | Apache Spark Interview Questions | Sp...Edureka!
 
Scalable Machine Learning Pipeline For Meta Data Discovery From eBay Listings
Scalable Machine Learning Pipeline For Meta Data Discovery From eBay ListingsScalable Machine Learning Pipeline For Meta Data Discovery From eBay Listings
Scalable Machine Learning Pipeline For Meta Data Discovery From eBay ListingsSpark Summit
 
Spark SQL Tutorial | Spark Tutorial for Beginners | Apache Spark Training | E...
Spark SQL Tutorial | Spark Tutorial for Beginners | Apache Spark Training | E...Spark SQL Tutorial | Spark Tutorial for Beginners | Apache Spark Training | E...
Spark SQL Tutorial | Spark Tutorial for Beginners | Apache Spark Training | E...Edureka!
 
Top 20 FAQs on the Autonomous Database
Top 20 FAQs on the Autonomous DatabaseTop 20 FAQs on the Autonomous Database
Top 20 FAQs on the Autonomous DatabaseSandesh Rao
 
Using Deep Learning on Apache Spark to Diagnose Thoracic Pathology from Chest...
Using Deep Learning on Apache Spark to Diagnose Thoracic Pathology from Chest...Using Deep Learning on Apache Spark to Diagnose Thoracic Pathology from Chest...
Using Deep Learning on Apache Spark to Diagnose Thoracic Pathology from Chest...Databricks
 
NLP-Focused Applied ML at Scale for Global Fleet Analytics at ExxonMobil
NLP-Focused Applied ML at Scale for Global Fleet Analytics at ExxonMobilNLP-Focused Applied ML at Scale for Global Fleet Analytics at ExxonMobil
NLP-Focused Applied ML at Scale for Global Fleet Analytics at ExxonMobilDatabricks
 

What's hot (20)

Spark ML Pipeline serving
Spark ML Pipeline servingSpark ML Pipeline serving
Spark ML Pipeline serving
 
Spark with Delta Lake
Spark with Delta LakeSpark with Delta Lake
Spark with Delta Lake
 
Hadoop and Spark-Perfect Together-(Arun C. Murthy, Hortonworks)
Hadoop and Spark-Perfect Together-(Arun C. Murthy, Hortonworks)Hadoop and Spark-Perfect Together-(Arun C. Murthy, Hortonworks)
Hadoop and Spark-Perfect Together-(Arun C. Murthy, Hortonworks)
 
Data Distribution and Ordering for Efficient Data Source V2
Data Distribution and Ordering for Efficient Data Source V2Data Distribution and Ordering for Efficient Data Source V2
Data Distribution and Ordering for Efficient Data Source V2
 
SQL Analytics Powering Telemetry Analysis at Comcast
SQL Analytics Powering Telemetry Analysis at ComcastSQL Analytics Powering Telemetry Analysis at Comcast
SQL Analytics Powering Telemetry Analysis at Comcast
 
AUSOUG - NZOUG-GroundBreakers-Jun 2019 - AI and Machine Learning
AUSOUG - NZOUG-GroundBreakers-Jun 2019 - AI and Machine LearningAUSOUG - NZOUG-GroundBreakers-Jun 2019 - AI and Machine Learning
AUSOUG - NZOUG-GroundBreakers-Jun 2019 - AI and Machine Learning
 
Extending Machine Learning Algorithms with PySpark
Extending Machine Learning Algorithms with PySparkExtending Machine Learning Algorithms with PySpark
Extending Machine Learning Algorithms with PySpark
 
Accelerating Apache Spark-based Analytics on Intel Architecture-(Michael Gree...
Accelerating Apache Spark-based Analytics on Intel Architecture-(Michael Gree...Accelerating Apache Spark-based Analytics on Intel Architecture-(Michael Gree...
Accelerating Apache Spark-based Analytics on Intel Architecture-(Michael Gree...
 
Time Series Analysis Using an Event Streaming Platform
Time Series Analysis Using an Event Streaming Platform Time Series Analysis Using an Event Streaming Platform
Time Series Analysis Using an Event Streaming Platform
 
ApacheCon 2015 - A Stock Prediction System Using OSS
ApacheCon 2015 - A Stock Prediction System Using OSSApacheCon 2015 - A Stock Prediction System Using OSS
ApacheCon 2015 - A Stock Prediction System Using OSS
 
KFServing, Model Monitoring with Apache Spark and a Feature Store
KFServing, Model Monitoring with Apache Spark and a Feature StoreKFServing, Model Monitoring with Apache Spark and a Feature Store
KFServing, Model Monitoring with Apache Spark and a Feature Store
 
Using Spark Mllib Models in a Production Training and Serving Platform: Exper...
Using Spark Mllib Models in a Production Training and Serving Platform: Exper...Using Spark Mllib Models in a Production Training and Serving Platform: Exper...
Using Spark Mllib Models in a Production Training and Serving Platform: Exper...
 
Spark Development Lifecycle at Workday - ApacheCon 2020
Spark Development Lifecycle at Workday - ApacheCon 2020Spark Development Lifecycle at Workday - ApacheCon 2020
Spark Development Lifecycle at Workday - ApacheCon 2020
 
Apache Spark Model Deployment
Apache Spark Model Deployment Apache Spark Model Deployment
Apache Spark Model Deployment
 
Spark Interview Questions and Answers | Apache Spark Interview Questions | Sp...
Spark Interview Questions and Answers | Apache Spark Interview Questions | Sp...Spark Interview Questions and Answers | Apache Spark Interview Questions | Sp...
Spark Interview Questions and Answers | Apache Spark Interview Questions | Sp...
 
Scalable Machine Learning Pipeline For Meta Data Discovery From eBay Listings
Scalable Machine Learning Pipeline For Meta Data Discovery From eBay ListingsScalable Machine Learning Pipeline For Meta Data Discovery From eBay Listings
Scalable Machine Learning Pipeline For Meta Data Discovery From eBay Listings
 
Spark SQL Tutorial | Spark Tutorial for Beginners | Apache Spark Training | E...
Spark SQL Tutorial | Spark Tutorial for Beginners | Apache Spark Training | E...Spark SQL Tutorial | Spark Tutorial for Beginners | Apache Spark Training | E...
Spark SQL Tutorial | Spark Tutorial for Beginners | Apache Spark Training | E...
 
Top 20 FAQs on the Autonomous Database
Top 20 FAQs on the Autonomous DatabaseTop 20 FAQs on the Autonomous Database
Top 20 FAQs on the Autonomous Database
 
Using Deep Learning on Apache Spark to Diagnose Thoracic Pathology from Chest...
Using Deep Learning on Apache Spark to Diagnose Thoracic Pathology from Chest...Using Deep Learning on Apache Spark to Diagnose Thoracic Pathology from Chest...
Using Deep Learning on Apache Spark to Diagnose Thoracic Pathology from Chest...
 
NLP-Focused Applied ML at Scale for Global Fleet Analytics at ExxonMobil
NLP-Focused Applied ML at Scale for Global Fleet Analytics at ExxonMobilNLP-Focused Applied ML at Scale for Global Fleet Analytics at ExxonMobil
NLP-Focused Applied ML at Scale for Global Fleet Analytics at ExxonMobil
 

Similar to PelletDb: Scalable Reasoning for Enterprise Semantics

Big Data for Data Scientists - WeCloudData
Big Data for Data Scientists - WeCloudDataBig Data for Data Scientists - WeCloudData
Big Data for Data Scientists - WeCloudDataWeCloudData
 
Oracle to Cassandra Core Concepts Guid Part 1: A new hope
Oracle to Cassandra Core Concepts Guid Part 1: A new hopeOracle to Cassandra Core Concepts Guid Part 1: A new hope
Oracle to Cassandra Core Concepts Guid Part 1: A new hopeDataStax
 
Virtuoso, The Prometheus of RDF -- Sematics 2014 Conference Keynote
Virtuoso, The Prometheus of RDF -- Sematics 2014 Conference Keynote Virtuoso, The Prometheus of RDF -- Sematics 2014 Conference Keynote
Virtuoso, The Prometheus of RDF -- Sematics 2014 Conference KeynoteKingsley Uyi Idehen
 
AskTom: How to Make and Test Your Application "Oracle RAC Ready"?
AskTom: How to Make and Test Your Application "Oracle RAC Ready"?AskTom: How to Make and Test Your Application "Oracle RAC Ready"?
AskTom: How to Make and Test Your Application "Oracle RAC Ready"?Markus Michalewicz
 
Oracle Database / Exadata Cloud 最新情報(Oracle Cloudウェビナーシリーズ: 2020年7月2日)
Oracle Database / Exadata Cloud 最新情報(Oracle Cloudウェビナーシリーズ: 2020年7月2日)Oracle Database / Exadata Cloud 最新情報(Oracle Cloudウェビナーシリーズ: 2020年7月2日)
Oracle Database / Exadata Cloud 最新情報(Oracle Cloudウェビナーシリーズ: 2020年7月2日)オラクルエンジニア通信
 
Stream Analytics
Stream Analytics Stream Analytics
Stream Analytics Franco Ucci
 
OUG Scotland 2014 - NoSQL and MySQL - The best of both worlds
OUG Scotland 2014 - NoSQL and MySQL - The best of both worldsOUG Scotland 2014 - NoSQL and MySQL - The best of both worlds
OUG Scotland 2014 - NoSQL and MySQL - The best of both worldsAndrew Morgan
 
Virtuoso -- The Prometheus of RDF
Virtuoso -- The Prometheus of RDFVirtuoso -- The Prometheus of RDF
Virtuoso -- The Prometheus of RDFOpenLink Software
 
Context-aware Fast Food Recommendation with Ray on Apache Spark at Burger King
Context-aware Fast Food Recommendation with Ray on Apache Spark at Burger KingContext-aware Fast Food Recommendation with Ray on Apache Spark at Burger King
Context-aware Fast Food Recommendation with Ray on Apache Spark at Burger KingDatabricks
 
Oracle’s Advanced Analytics & Machine Learning 12.2c New Features & Road Map;...
Oracle’s Advanced Analytics & Machine Learning 12.2c New Features & Road Map;...Oracle’s Advanced Analytics & Machine Learning 12.2c New Features & Road Map;...
Oracle’s Advanced Analytics & Machine Learning 12.2c New Features & Road Map;...Charlie Berger
 
Oracle cloud environment architecture orientation
Oracle cloud environment architecture orientationOracle cloud environment architecture orientation
Oracle cloud environment architecture orientationOsama Abdullah
 
A practical introduction to Oracle NoSQL Database - OOW2014
A practical introduction to Oracle NoSQL Database - OOW2014A practical introduction to Oracle NoSQL Database - OOW2014
A practical introduction to Oracle NoSQL Database - OOW2014Anuj Sahni
 
Oracle RAC 12c Release 2 - Overview
Oracle RAC 12c Release 2 - OverviewOracle RAC 12c Release 2 - Overview
Oracle RAC 12c Release 2 - OverviewMarkus Michalewicz
 
Whats new in Oracle Database 12c release 12.1.0.2
Whats new in Oracle Database 12c release 12.1.0.2Whats new in Oracle Database 12c release 12.1.0.2
Whats new in Oracle Database 12c release 12.1.0.2Connor McDonald
 
ESWC 2013 Panel - Semantic Technologies for Big Data Analytics: Opportunities...
ESWC 2013 Panel - Semantic Technologies for Big Data Analytics: Opportunities...ESWC 2013 Panel - Semantic Technologies for Big Data Analytics: Opportunities...
ESWC 2013 Panel - Semantic Technologies for Big Data Analytics: Opportunities...OpenLink Software
 
From Pandas to Koalas: Reducing Time-To-Insight for Virgin Hyperloop's Data
From Pandas to Koalas: Reducing Time-To-Insight for Virgin Hyperloop's DataFrom Pandas to Koalas: Reducing Time-To-Insight for Virgin Hyperloop's Data
From Pandas to Koalas: Reducing Time-To-Insight for Virgin Hyperloop's DataDatabricks
 
20141011 my sql clusterv01pptx
20141011 my sql clusterv01pptx20141011 my sql clusterv01pptx
20141011 my sql clusterv01pptxIvan Ma
 
SemTech 2010: Pelorus Platform
SemTech 2010: Pelorus PlatformSemTech 2010: Pelorus Platform
SemTech 2010: Pelorus PlatformClark & Parsia LLC
 
Sfrac on oracle_vm_with_npiv_whitepaper_sol
Sfrac on oracle_vm_with_npiv_whitepaper_solSfrac on oracle_vm_with_npiv_whitepaper_sol
Sfrac on oracle_vm_with_npiv_whitepaper_solNovonil Choudhuri
 

Similar to PelletDb: Scalable Reasoning for Enterprise Semantics (20)

Big Data for Data Scientists - WeCloudData
Big Data for Data Scientists - WeCloudDataBig Data for Data Scientists - WeCloudData
Big Data for Data Scientists - WeCloudData
 
Oracle to Cassandra Core Concepts Guid Part 1: A new hope
Oracle to Cassandra Core Concepts Guid Part 1: A new hopeOracle to Cassandra Core Concepts Guid Part 1: A new hope
Oracle to Cassandra Core Concepts Guid Part 1: A new hope
 
Virtuoso, The Prometheus of RDF -- Sematics 2014 Conference Keynote
Virtuoso, The Prometheus of RDF -- Sematics 2014 Conference Keynote Virtuoso, The Prometheus of RDF -- Sematics 2014 Conference Keynote
Virtuoso, The Prometheus of RDF -- Sematics 2014 Conference Keynote
 
OOW19 - HOL5221
OOW19 - HOL5221OOW19 - HOL5221
OOW19 - HOL5221
 
AskTom: How to Make and Test Your Application "Oracle RAC Ready"?
AskTom: How to Make and Test Your Application "Oracle RAC Ready"?AskTom: How to Make and Test Your Application "Oracle RAC Ready"?
AskTom: How to Make and Test Your Application "Oracle RAC Ready"?
 
Oracle Database / Exadata Cloud 最新情報(Oracle Cloudウェビナーシリーズ: 2020年7月2日)
Oracle Database / Exadata Cloud 最新情報(Oracle Cloudウェビナーシリーズ: 2020年7月2日)Oracle Database / Exadata Cloud 最新情報(Oracle Cloudウェビナーシリーズ: 2020年7月2日)
Oracle Database / Exadata Cloud 最新情報(Oracle Cloudウェビナーシリーズ: 2020年7月2日)
 
Stream Analytics
Stream Analytics Stream Analytics
Stream Analytics
 
OUG Scotland 2014 - NoSQL and MySQL - The best of both worlds
OUG Scotland 2014 - NoSQL and MySQL - The best of both worldsOUG Scotland 2014 - NoSQL and MySQL - The best of both worlds
OUG Scotland 2014 - NoSQL and MySQL - The best of both worlds
 
Virtuoso -- The Prometheus of RDF
Virtuoso -- The Prometheus of RDFVirtuoso -- The Prometheus of RDF
Virtuoso -- The Prometheus of RDF
 
Context-aware Fast Food Recommendation with Ray on Apache Spark at Burger King
Context-aware Fast Food Recommendation with Ray on Apache Spark at Burger KingContext-aware Fast Food Recommendation with Ray on Apache Spark at Burger King
Context-aware Fast Food Recommendation with Ray on Apache Spark at Burger King
 
Oracle’s Advanced Analytics & Machine Learning 12.2c New Features & Road Map;...
Oracle’s Advanced Analytics & Machine Learning 12.2c New Features & Road Map;...Oracle’s Advanced Analytics & Machine Learning 12.2c New Features & Road Map;...
Oracle’s Advanced Analytics & Machine Learning 12.2c New Features & Road Map;...
 
Oracle cloud environment architecture orientation
Oracle cloud environment architecture orientationOracle cloud environment architecture orientation
Oracle cloud environment architecture orientation
 
A practical introduction to Oracle NoSQL Database - OOW2014
A practical introduction to Oracle NoSQL Database - OOW2014A practical introduction to Oracle NoSQL Database - OOW2014
A practical introduction to Oracle NoSQL Database - OOW2014
 
Oracle RAC 12c Release 2 - Overview
Oracle RAC 12c Release 2 - OverviewOracle RAC 12c Release 2 - Overview
Oracle RAC 12c Release 2 - Overview
 
Whats new in Oracle Database 12c release 12.1.0.2
Whats new in Oracle Database 12c release 12.1.0.2Whats new in Oracle Database 12c release 12.1.0.2
Whats new in Oracle Database 12c release 12.1.0.2
 
ESWC 2013 Panel - Semantic Technologies for Big Data Analytics: Opportunities...
ESWC 2013 Panel - Semantic Technologies for Big Data Analytics: Opportunities...ESWC 2013 Panel - Semantic Technologies for Big Data Analytics: Opportunities...
ESWC 2013 Panel - Semantic Technologies for Big Data Analytics: Opportunities...
 
From Pandas to Koalas: Reducing Time-To-Insight for Virgin Hyperloop's Data
From Pandas to Koalas: Reducing Time-To-Insight for Virgin Hyperloop's DataFrom Pandas to Koalas: Reducing Time-To-Insight for Virgin Hyperloop's Data
From Pandas to Koalas: Reducing Time-To-Insight for Virgin Hyperloop's Data
 
20141011 my sql clusterv01pptx
20141011 my sql clusterv01pptx20141011 my sql clusterv01pptx
20141011 my sql clusterv01pptx
 
SemTech 2010: Pelorus Platform
SemTech 2010: Pelorus PlatformSemTech 2010: Pelorus Platform
SemTech 2010: Pelorus Platform
 
Sfrac on oracle_vm_with_npiv_whitepaper_sol
Sfrac on oracle_vm_with_npiv_whitepaper_solSfrac on oracle_vm_with_npiv_whitepaper_sol
Sfrac on oracle_vm_with_npiv_whitepaper_sol
 

More from Clark & Parsia LLC

Stardog 1.1: Easier, Smarter, Faster RDF Database
Stardog 1.1: Easier, Smarter, Faster RDF DatabaseStardog 1.1: Easier, Smarter, Faster RDF Database
Stardog 1.1: Easier, Smarter, Faster RDF DatabaseClark & Parsia LLC
 
Validating Linked Data with OWL
Validating Linked Data with OWLValidating Linked Data with OWL
Validating Linked Data with OWLClark & Parsia LLC
 
Sem tech 2010_integrity_constraints
Sem tech 2010_integrity_constraintsSem tech 2010_integrity_constraints
Sem tech 2010_integrity_constraintsClark & Parsia LLC
 
PelletServer: REST and Semantic Technologies
PelletServer: REST and Semantic TechnologiesPelletServer: REST and Semantic Technologies
PelletServer: REST and Semantic TechnologiesClark & Parsia LLC
 
Automated Planning as a Semantic Technology
Automated Planning as a Semantic TechnologyAutomated Planning as a Semantic Technology
Automated Planning as a Semantic TechnologyClark & Parsia LLC
 

More from Clark & Parsia LLC (10)

Stardog Linked Data Catalog
Stardog Linked Data CatalogStardog Linked Data Catalog
Stardog Linked Data Catalog
 
Stardog 1.1: Easier, Smarter, Faster RDF Database
Stardog 1.1: Easier, Smarter, Faster RDF DatabaseStardog 1.1: Easier, Smarter, Faster RDF Database
Stardog 1.1: Easier, Smarter, Faster RDF Database
 
Stardog talk-dc-march-17
Stardog talk-dc-march-17Stardog talk-dc-march-17
Stardog talk-dc-march-17
 
RR2010 Keynote
RR2010 KeynoteRR2010 Keynote
RR2010 Keynote
 
Validating Linked Data with OWL
Validating Linked Data with OWLValidating Linked Data with OWL
Validating Linked Data with OWL
 
Sem tech 2010_integrity_constraints
Sem tech 2010_integrity_constraintsSem tech 2010_integrity_constraints
Sem tech 2010_integrity_constraints
 
Terp: An OWL-friendly SPARQL
Terp: An OWL-friendly SPARQLTerp: An OWL-friendly SPARQL
Terp: An OWL-friendly SPARQL
 
PelletServer: REST and Semantic Technologies
PelletServer: REST and Semantic TechnologiesPelletServer: REST and Semantic Technologies
PelletServer: REST and Semantic Technologies
 
Automated Planning as a Semantic Technology
Automated Planning as a Semantic TechnologyAutomated Planning as a Semantic Technology
Automated Planning as a Semantic Technology
 
Empire: JPA for RDF & SPARQL
Empire: JPA for RDF & SPARQLEmpire: JPA for RDF & SPARQL
Empire: JPA for RDF & SPARQL
 

Recently uploaded

Testing tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesTesting tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesKari Kakkonen
 
Data governance with Unity Catalog Presentation
Data governance with Unity Catalog PresentationData governance with Unity Catalog Presentation
Data governance with Unity Catalog PresentationKnoldus Inc.
 
2024 April Patch Tuesday
2024 April Patch Tuesday2024 April Patch Tuesday
2024 April Patch TuesdayIvanti
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxLoriGlavin3
 
Potential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsPotential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsRavi Sanghani
 
Zeshan Sattar- Assessing the skill requirements and industry expectations for...
Zeshan Sattar- Assessing the skill requirements and industry expectations for...Zeshan Sattar- Assessing the skill requirements and industry expectations for...
Zeshan Sattar- Assessing the skill requirements and industry expectations for...itnewsafrica
 
Abdul Kader Baba- Managing Cybersecurity Risks and Compliance Requirements i...
Abdul Kader Baba- Managing Cybersecurity Risks and Compliance Requirements i...Abdul Kader Baba- Managing Cybersecurity Risks and Compliance Requirements i...
Abdul Kader Baba- Managing Cybersecurity Risks and Compliance Requirements i...itnewsafrica
 
Top 10 Hubspot Development Companies in 2024
Top 10 Hubspot Development Companies in 2024Top 10 Hubspot Development Companies in 2024
Top 10 Hubspot Development Companies in 2024TopCSSGallery
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxLoriGlavin3
 
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS: 6 Ways to Automate Your Data IntegrationBridging Between CAD & GIS: 6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integrationmarketing932765
 
A Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersA Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersNicole Novielli
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxLoriGlavin3
 
Design pattern talk by Kaya Weers - 2024 (v2)
Design pattern talk by Kaya Weers - 2024 (v2)Design pattern talk by Kaya Weers - 2024 (v2)
Design pattern talk by Kaya Weers - 2024 (v2)Kaya Weers
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3
 
Connecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfConnecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfNeo4j
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024Lonnie McRorey
 
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...Nikki Chapple
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxLoriGlavin3
 
A Framework for Development in the AI Age
A Framework for Development in the AI AgeA Framework for Development in the AI Age
A Framework for Development in the AI AgeCprime
 
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesHow to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesThousandEyes
 

Recently uploaded (20)

Testing tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesTesting tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examples
 
Data governance with Unity Catalog Presentation
Data governance with Unity Catalog PresentationData governance with Unity Catalog Presentation
Data governance with Unity Catalog Presentation
 
2024 April Patch Tuesday
2024 April Patch Tuesday2024 April Patch Tuesday
2024 April Patch Tuesday
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
 
Potential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsPotential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and Insights
 
Zeshan Sattar- Assessing the skill requirements and industry expectations for...
Zeshan Sattar- Assessing the skill requirements and industry expectations for...Zeshan Sattar- Assessing the skill requirements and industry expectations for...
Zeshan Sattar- Assessing the skill requirements and industry expectations for...
 
Abdul Kader Baba- Managing Cybersecurity Risks and Compliance Requirements i...
Abdul Kader Baba- Managing Cybersecurity Risks and Compliance Requirements i...Abdul Kader Baba- Managing Cybersecurity Risks and Compliance Requirements i...
Abdul Kader Baba- Managing Cybersecurity Risks and Compliance Requirements i...
 
Top 10 Hubspot Development Companies in 2024
Top 10 Hubspot Development Companies in 2024Top 10 Hubspot Development Companies in 2024
Top 10 Hubspot Development Companies in 2024
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
 
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS: 6 Ways to Automate Your Data IntegrationBridging Between CAD & GIS: 6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integration
 
A Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersA Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software Developers
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
 
Design pattern talk by Kaya Weers - 2024 (v2)
Design pattern talk by Kaya Weers - 2024 (v2)Design pattern talk by Kaya Weers - 2024 (v2)
Design pattern talk by Kaya Weers - 2024 (v2)
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
 
Connecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfConnecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdf
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024
 
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptx
 
A Framework for Development in the AI Age
A Framework for Development in the AI AgeA Framework for Development in the AI Age
A Framework for Development in the AI Age
 
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesHow to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
 

PelletDb: Scalable Reasoning for Enterprise Semantics

  • 1. PelletDb: Scalable, Expressive Semantic Reasoning for the Enterprise 2010 Semantic Technology Conference Héctor Pérez-Urbina Clark & Parsia, LLC hector@clarkparsia.com
  • 2. Who are we? Clark & Parsia is a semantic software startup Offices in DC & Cambridge, MA Software products for end-user & OEM use Provides software development and integration services Specializing in Semantic Web, web services, and advanced AI technologies for federal and enterprise customers http://clarkparsia.com/ Twitter: @candp
  • 3. What is PelletDb? New reasoner that combines the best of two worlds: Clark & Parsia’s Pellet: expressive, in-memory OWL 2 reasoner Oracle Database Semantic Technologies: scalable, database-backed OWL/RDF reasoner
  • 4. What is PelletDb? Pellet very expressive not sufficiently scalable for some workloads Oracle 11g R2 very scalable not sufficiently expressive for some problems PelletDb: more scalable & expressive than either Pellet or Oracle alone
  • 8. Performance Max expressivity mode Schema & data extraction (Pellet) Reasoning (Pellet) Max scalability mode Schema extraction & reasoning (Pellet) Small percentage of time Data reasoning (Oracle) Performance evaluation at http://bit. ly/crNWuN
  • 9. Benefits for Oracle customers More expressive reasoning: more complete SPARQL query answers Access to non-standard reasoning services Inference explanation SPARQL-DL query answering Incremental reasoning Closed-world integrity constraint validation Automated ontology modularization
  • 10. Benefits for Pellet customers Access to Oracle’s world-class information management systems Scalability Security Replication Transaction support Oracle addons Enterprise ecosystem ready for OWL 2
  • 11. Other RDF Datastores PelletDb technology is not specific to Oracle We are evaluating business case for highly optimized integrations with other RDF stores BigData Virtuoso 4Store/5Store ...
  • 12. Roadmap Q3 2010 OWL-based integrity constraint validation for semantic & relational data Q1 2011 Semantic facade over existing data sources
  • 13. IC Validation Database-like IC validation (Closed world, UNA) SPARQL translation Incremental validation "Using OWL in Closed-World Applications" by Evren Sirin - 3:30 pm
  • 14. Semantic Facade Specialized OWL 2 QL reasoner Rewriting-based approach No data explosion Frequently changing data Efficient query answering
  • 15. More info Clark & Parsia LLC http://clarkparsia.com/ PelletDb http://clarkparsia.com/pelletdb News, updates, tips/ticks on twitter #pelletdb