SlideShare a Scribd company logo
1 of 79
Semantic Technology: the basics Jans Aasman, Ph.D. CEO Franz Inc [email_address]
Contents ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Caveat ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Trends in main stream IT ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
The whole Semantic Web rests on a little thingy: ,[object Object]
Subject   predicate  object   graph Quads
ntriple format Resource or Blank Node Only Resource Resource Literal  Blank Node (?:(?<=<)[^>]+(?=>))|(?:amp;quot;(?:(?:[^amp;quot;]|(?:amp;quot;))*)amp;quot;[^.  ]*)|(?:_:[-_a-zA-Z0-9]+)
As RDF/XML
As Trix As Trix
As N3
But don’t worry ,[object Object],[object Object],[object Object],[object Object],[object Object]
 
 
How can I read up on  triples and meta data?
A triple store ,[object Object]
An artist’s impression of a db for persons January, 2008
g
 
Comparing RDB, Hbase, Triple Stores RDB Hbase Modern Triple Store Transactions + - + ACID + - + Concurrent & Dynamic + + + Random Access + + + Flexibility - - + High Availability + + + Joins / complex graph search - - + Structured + Unstructured - - + Scalability + + +
Can you give us some examples ,[object Object],[object Object],[object Object],[object Object]
Pharmaceutical
 
 
sider
Federated 11 linked data sets ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
 
DrugBank A repository of almost 5000 FDA-approved small molecule and biotech drugs.  Contains detailed information about drugs including chemical, pharmacological and pharmaceutical data; along with comprehensive drug target data such as sequence, structure, and pathway information.
LinkedCT: Clinical Trials Up-to-date information for locating federally and privately supported clinical trials for a wide range of diseases and conditions. It contains 81,571 trials sponsored by the National Institutes of Health, other federal agencies, and private industry ClinicalTrials.gov receives over 40 million page views per month 50,000 visitors daily.
Diseasome Publishes a network of 4,300 disorders and disease genes linked by known disorder-gene associations for exploring all known phenotype and disease gene associations, indicating the common genetic origin of many diseases. The list of disorders, disease genes, and associations between them was obtained from the Online Mendelian Inheritance in Man (OMIM), a compilation of human disease genes and phenotypes.
DailyMed Published by the National Library of Medicine, and provides high quality information about marketed drugs. DailyMed provides much information including general background on the chemical structure of the compound and its therapeutic purpose, details on the compound's clinical pharmacology, indication and usage, contraindications, warnings, precautions, adverse reactions, overdosage, and patient counseling.
Sider Contains information on marketed drugs and their adverse effects. The information is extracted from public documents and package inserts.
Finding entities in Clinical Trials ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Combined with advanced entity extraction ,[object Object],[object Object],[object Object],[object Object]
Interesting queries (Sparql) ,[object Object],[object Object],[object Object],[object Object],[object Object]
Where do triples come from ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
 
 
 
 
Guided Interaction Advisor Visualization of the solution Triple Store with business concepts Events from many source systems are transformed into a set of related business concepts Chronology of events Interactions Bills Orders Payments Collections Charge dispute Individual Customer Pay instructions Device Activated Device heartbeat Subscriptions Device changes Many events
Guided Interaction Advisor Visualization of the solution Charge dispute Probabilistic assessment is performed  Corporate policy rules determine actions Plan Overage Bill greater than last month Prorates Roaming charges Third Party Charges Abnormal fee Rate increases Charge dispute First bill Past due amount Pay bill Customer Cancellation Reactivation Device activation Device education Device exchange Device Lost Device not working Device resume Service data not working Service text not working Service voice not working Subscription cancellation Wrong plan Chronology of events Device Activation Third Party Charges Abnormal fee
Entity Extraction: from ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
How would you do this with your standard search engine? ,[object Object],[object Object],[object Object],[object Object],[object Object]
The process ,[object Object],[object Object],[object Object],[object Object],[object Object]
 
 
Demo ,[object Object],[object Object],[object Object],[object Object],[object Object]
How Tim Berners-Lee’s dream came true
Vocabularies, Thesauri,  Taxonomy, Ontologies ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Schema Spaces ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
 
 
 
 
 
 
 
 
What do companies use triple stores for?
 
Bill Guin, CTO, Amdocs Semantic Real Time Intelligent Decision Automation .  Thursday, 12:45, Grand A Vijay Bulusu. Knowledge Sharing Using Semantic Technologies   Thursday, 3:30,  Franciscan A
And why do these companies work with triple stores? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Can’t I do that with a Nosql database like Hadoop, HBase, Cassandra… ,[object Object],[object Object]
 
Classes of applications and their natural database. Regular Enterprise Applications. Web Scale  Shallow Objects Complex Meta Data Applications. Relational Databases Hadoop, Hbase, Cassandra, etc Triple Stores
Classes of applications and their natural database. Regular Enterprise Applications. Web Scale  Shallow Objects Complex Meta Data Applications. Relational Databases Hadoop, Hbase, Cassandra, etc Triple Stores
Geospatial, temporal and social network analysis with a triple store…
Social Network Analysis  Answers 4 questions ,[object Object],[object Object],[object Object],[object Object]
GeoSpatial ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Temporal Reasoning ,[object Object],[object Object]
A Simple Event Ontology ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Activity Recognition ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Comparing RDB, Hbase, Triple Stores RDB Hbase Modern Triple Store Transactions + - + ACID + - + Concurrent & Dynamic + + + Random Access + + + Flexibility - - + High Availability + + + Joins / complex graph search - - + Structured + Unstructured - - + Scalability + + +
On the road map ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Reasoning

More Related Content

What's hot

Nucleic acid database
Nucleic acid database Nucleic acid database
Nucleic acid database
bhargvi sharma
 

What's hot (20)

R.P Maurya ppt on C C D C & DSSP(Bioinformatics)
R.P Maurya ppt  on C C D C & DSSP(Bioinformatics)R.P Maurya ppt  on C C D C & DSSP(Bioinformatics)
R.P Maurya ppt on C C D C & DSSP(Bioinformatics)
 
Nucleic acid database
Nucleic acid database Nucleic acid database
Nucleic acid database
 
Pathways and genomes databases in bioinformatics
Pathways and genomes databases in bioinformaticsPathways and genomes databases in bioinformatics
Pathways and genomes databases in bioinformatics
 
Homology modeling of proteins (ppt)
Homology modeling of proteins (ppt)Homology modeling of proteins (ppt)
Homology modeling of proteins (ppt)
 
Cheminformatics
CheminformaticsCheminformatics
Cheminformatics
 
Uni prot presentation
Uni prot presentationUni prot presentation
Uni prot presentation
 
Protein function prediction
Protein function predictionProtein function prediction
Protein function prediction
 
Protein Databases
Protein DatabasesProtein Databases
Protein Databases
 
Ab Initio Protein Structure Prediction
Ab Initio Protein Structure PredictionAb Initio Protein Structure Prediction
Ab Initio Protein Structure Prediction
 
Pubchem
PubchemPubchem
Pubchem
 
Gen bank (genetic sequence databank)
Gen bank (genetic sequence databank)Gen bank (genetic sequence databank)
Gen bank (genetic sequence databank)
 
Threading modeling methods
Threading modeling methodsThreading modeling methods
Threading modeling methods
 
Gen bank
Gen bankGen bank
Gen bank
 
An Introduction to "Bioinformatics & Internet"
An Introduction to "Bioinformatics & Internet"An Introduction to "Bioinformatics & Internet"
An Introduction to "Bioinformatics & Internet"
 
BITS: Basics of Sequence similarity
BITS: Basics of Sequence similarityBITS: Basics of Sequence similarity
BITS: Basics of Sequence similarity
 
Use of Rasmol and study of proteins
Use of Rasmol and study of proteins Use of Rasmol and study of proteins
Use of Rasmol and study of proteins
 
ChIP-seq
ChIP-seqChIP-seq
ChIP-seq
 
Lecture 9 molecular descriptors
Lecture 9  molecular descriptorsLecture 9  molecular descriptors
Lecture 9 molecular descriptors
 
Sequence file formats
Sequence file formatsSequence file formats
Sequence file formats
 
ZINC database
ZINC databaseZINC database
ZINC database
 

Viewers also liked

Pragmatics (Linguistics)
Pragmatics (Linguistics)Pragmatics (Linguistics)
Pragmatics (Linguistics)
Coltz Mejia
 
Pragmatics presentation
Pragmatics presentationPragmatics presentation
Pragmatics presentation
Mehwish Nazar
 

Viewers also liked (14)

MySql to HBase in 5 Steps
MySql to HBase in 5 StepsMySql to HBase in 5 Steps
MySql to HBase in 5 Steps
 
Semantic Pragmatic Disorder : A Cognitive Science Prespective
Semantic Pragmatic Disorder : A Cognitive Science PrespectiveSemantic Pragmatic Disorder : A Cognitive Science Prespective
Semantic Pragmatic Disorder : A Cognitive Science Prespective
 
Sajith ankle
Sajith ankleSajith ankle
Sajith ankle
 
Pastern Arthrodesis
Pastern ArthrodesisPastern Arthrodesis
Pastern Arthrodesis
 
Jess
JessJess
Jess
 
Arthrodesis
ArthrodesisArthrodesis
Arthrodesis
 
Triple arthrodesis seminar by Dr Chirag Patel
Triple arthrodesis seminar by Dr Chirag PatelTriple arthrodesis seminar by Dr Chirag Patel
Triple arthrodesis seminar by Dr Chirag Patel
 
Arthrodesis
ArthrodesisArthrodesis
Arthrodesis
 
What is pragmatics ppt final
What is pragmatics ppt finalWhat is pragmatics ppt final
What is pragmatics ppt final
 
Pragmatics (Linguistics)
Pragmatics (Linguistics)Pragmatics (Linguistics)
Pragmatics (Linguistics)
 
Pragmatics presentation
Pragmatics presentationPragmatics presentation
Pragmatics presentation
 
Pragmatics: Deixis And Distance By Dr.Shadia.Pptx
Pragmatics:  Deixis And Distance By Dr.Shadia.PptxPragmatics:  Deixis And Distance By Dr.Shadia.Pptx
Pragmatics: Deixis And Distance By Dr.Shadia.Pptx
 
TEDx Manchester: AI & The Future of Work
TEDx Manchester: AI & The Future of WorkTEDx Manchester: AI & The Future of Work
TEDx Manchester: AI & The Future of Work
 
Build Features, Not Apps
Build Features, Not AppsBuild Features, Not Apps
Build Features, Not Apps
 

Similar to Semantic Technology: The Basics

ALA 2010 -- Jabin White
ALA 2010 -- Jabin WhiteALA 2010 -- Jabin White
ALA 2010 -- Jabin White
bisg
 
AeHIN 28 August, 2014 - Innovation in Healthcare IT Standards: The Path to Bi...
AeHIN 28 August, 2014 - Innovation in Healthcare IT Standards: The Path to Bi...AeHIN 28 August, 2014 - Innovation in Healthcare IT Standards: The Path to Bi...
AeHIN 28 August, 2014 - Innovation in Healthcare IT Standards: The Path to Bi...
Timothy Cook
 

Similar to Semantic Technology: The Basics (20)

Hh
HhHh
Hh
 
ALA 2010 -- Jabin White
ALA 2010 -- Jabin WhiteALA 2010 -- Jabin White
ALA 2010 -- Jabin White
 
Cal Essay
Cal EssayCal Essay
Cal Essay
 
Improving EMRs 2009
Improving EMRs 2009Improving EMRs 2009
Improving EMRs 2009
 
RSC ChemSpider Science Commons Symposium Pacific Northwest #scspn
RSC ChemSpider Science Commons Symposium Pacific Northwest #scspnRSC ChemSpider Science Commons Symposium Pacific Northwest #scspn
RSC ChemSpider Science Commons Symposium Pacific Northwest #scspn
 
AeHIN 28 August, 2014 - Innovation in Healthcare IT Standards: The Path to Bi...
AeHIN 28 August, 2014 - Innovation in Healthcare IT Standards: The Path to Bi...AeHIN 28 August, 2014 - Innovation in Healthcare IT Standards: The Path to Bi...
AeHIN 28 August, 2014 - Innovation in Healthcare IT Standards: The Path to Bi...
 
Nordic health data metadata
Nordic health data   metadataNordic health data   metadata
Nordic health data metadata
 
ChemSpider and How The Wisdom Of The Crowds Can Improve The Quality Of ...
ChemSpider  and How The Wisdom Of The  Crowds  Can  Improve The  Quality Of  ...ChemSpider  and How The Wisdom Of The  Crowds  Can  Improve The  Quality Of  ...
ChemSpider and How The Wisdom Of The Crowds Can Improve The Quality Of ...
 
Stream Meets Batch for Smarter Analytics- Impetus White Paper
Stream Meets Batch for Smarter Analytics- Impetus White PaperStream Meets Batch for Smarter Analytics- Impetus White Paper
Stream Meets Batch for Smarter Analytics- Impetus White Paper
 
Open Calais Release 4.0
Open Calais Release 4.0Open Calais Release 4.0
Open Calais Release 4.0
 
Ibara Michael Aster Ppt Show
Ibara Michael Aster Ppt ShowIbara Michael Aster Ppt Show
Ibara Michael Aster Ppt Show
 
HPCC Systems - Open source, Big Data Processing & Analytics
HPCC Systems - Open source, Big Data Processing & AnalyticsHPCC Systems - Open source, Big Data Processing & Analytics
HPCC Systems - Open source, Big Data Processing & Analytics
 
BIG DATA AND HADOOP.pdf
BIG DATA AND HADOOP.pdfBIG DATA AND HADOOP.pdf
BIG DATA AND HADOOP.pdf
 
LFS302_Real-World Evidence Platform to Enable Therapeutic Innovation
LFS302_Real-World Evidence Platform to Enable Therapeutic InnovationLFS302_Real-World Evidence Platform to Enable Therapeutic Innovation
LFS302_Real-World Evidence Platform to Enable Therapeutic Innovation
 
sybca-bigdata-ppt.pptx
sybca-bigdata-ppt.pptxsybca-bigdata-ppt.pptx
sybca-bigdata-ppt.pptx
 
Understanding the Value of Database Discovery - Beyond Unstructured Data
Understanding the Value of Database Discovery - Beyond Unstructured DataUnderstanding the Value of Database Discovery - Beyond Unstructured Data
Understanding the Value of Database Discovery - Beyond Unstructured Data
 
Becoming Datacentric
Becoming DatacentricBecoming Datacentric
Becoming Datacentric
 
Emcien overview v6 01282013
Emcien overview v6 01282013Emcien overview v6 01282013
Emcien overview v6 01282013
 
Customer Profiling using Data Mining
Customer Profiling using Data Mining Customer Profiling using Data Mining
Customer Profiling using Data Mining
 
Chemspider Presentation at the ACS Meeting in New orleans
Chemspider Presentation at the ACS Meeting in New orleansChemspider Presentation at the ACS Meeting in New orleans
Chemspider Presentation at the ACS Meeting in New orleans
 

Recently uploaded

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
WSO2
 

Recently uploaded (20)

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot ModelNavi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 
AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
 
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
 
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 

Semantic Technology: The Basics

  • 1. Semantic Technology: the basics Jans Aasman, Ph.D. CEO Franz Inc [email_address]
  • 2.
  • 3.
  • 4.
  • 5.  
  • 6.
  • 7. Subject predicate object graph Quads
  • 8. ntriple format Resource or Blank Node Only Resource Resource Literal Blank Node (?:(?<=<)[^>]+(?=>))|(?:amp;quot;(?:(?:[^amp;quot;]|(?:amp;quot;))*)amp;quot;[^. ]*)|(?:_:[-_a-zA-Z0-9]+)
  • 10. As Trix As Trix
  • 11. As N3
  • 12.
  • 13.  
  • 14.  
  • 15. How can I read up on triples and meta data?
  • 16.
  • 17. An artist’s impression of a db for persons January, 2008
  • 18. g
  • 19.  
  • 20. Comparing RDB, Hbase, Triple Stores RDB Hbase Modern Triple Store Transactions + - + ACID + - + Concurrent & Dynamic + + + Random Access + + + Flexibility - - + High Availability + + + Joins / complex graph search - - + Structured + Unstructured - - + Scalability + + +
  • 21.
  • 23.  
  • 24.  
  • 25. sider
  • 26.
  • 27.  
  • 28.  
  • 29. DrugBank A repository of almost 5000 FDA-approved small molecule and biotech drugs. Contains detailed information about drugs including chemical, pharmacological and pharmaceutical data; along with comprehensive drug target data such as sequence, structure, and pathway information.
  • 30. LinkedCT: Clinical Trials Up-to-date information for locating federally and privately supported clinical trials for a wide range of diseases and conditions. It contains 81,571 trials sponsored by the National Institutes of Health, other federal agencies, and private industry ClinicalTrials.gov receives over 40 million page views per month 50,000 visitors daily.
  • 31. Diseasome Publishes a network of 4,300 disorders and disease genes linked by known disorder-gene associations for exploring all known phenotype and disease gene associations, indicating the common genetic origin of many diseases. The list of disorders, disease genes, and associations between them was obtained from the Online Mendelian Inheritance in Man (OMIM), a compilation of human disease genes and phenotypes.
  • 32. DailyMed Published by the National Library of Medicine, and provides high quality information about marketed drugs. DailyMed provides much information including general background on the chemical structure of the compound and its therapeutic purpose, details on the compound's clinical pharmacology, indication and usage, contraindications, warnings, precautions, adverse reactions, overdosage, and patient counseling.
  • 33. Sider Contains information on marketed drugs and their adverse effects. The information is extracted from public documents and package inserts.
  • 34.
  • 35.
  • 36.
  • 37.
  • 38.  
  • 39.  
  • 40.  
  • 41.  
  • 42.  
  • 43. Guided Interaction Advisor Visualization of the solution Triple Store with business concepts Events from many source systems are transformed into a set of related business concepts Chronology of events Interactions Bills Orders Payments Collections Charge dispute Individual Customer Pay instructions Device Activated Device heartbeat Subscriptions Device changes Many events
  • 44. Guided Interaction Advisor Visualization of the solution Charge dispute Probabilistic assessment is performed Corporate policy rules determine actions Plan Overage Bill greater than last month Prorates Roaming charges Third Party Charges Abnormal fee Rate increases Charge dispute First bill Past due amount Pay bill Customer Cancellation Reactivation Device activation Device education Device exchange Device Lost Device not working Device resume Service data not working Service text not working Service voice not working Subscription cancellation Wrong plan Chronology of events Device Activation Third Party Charges Abnormal fee
  • 45.
  • 46.
  • 47.
  • 48.  
  • 49.  
  • 50.
  • 51. How Tim Berners-Lee’s dream came true
  • 52.
  • 53.
  • 54.  
  • 55.  
  • 56.  
  • 57.  
  • 58.  
  • 59.  
  • 60.  
  • 61.  
  • 62.  
  • 63. What do companies use triple stores for?
  • 64.  
  • 65. Bill Guin, CTO, Amdocs Semantic Real Time Intelligent Decision Automation . Thursday, 12:45, Grand A Vijay Bulusu. Knowledge Sharing Using Semantic Technologies Thursday, 3:30, Franciscan A
  • 66.
  • 67.
  • 68.  
  • 69. Classes of applications and their natural database. Regular Enterprise Applications. Web Scale Shallow Objects Complex Meta Data Applications. Relational Databases Hadoop, Hbase, Cassandra, etc Triple Stores
  • 70. Classes of applications and their natural database. Regular Enterprise Applications. Web Scale Shallow Objects Complex Meta Data Applications. Relational Databases Hadoop, Hbase, Cassandra, etc Triple Stores
  • 71. Geospatial, temporal and social network analysis with a triple store…
  • 72.
  • 73.
  • 74.
  • 75.
  • 76.
  • 77. Comparing RDB, Hbase, Triple Stores RDB Hbase Modern Triple Store Transactions + - + ACID + - + Concurrent & Dynamic + + + Random Access + + + Flexibility - - + High Availability + + + Joins / complex graph search - - + Structured + Unstructured - - + Scalability + + +
  • 78.