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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

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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.