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Bryan Bell Presentation

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The document summarizes a presentation about semantic search and semantic networks. It defines semantic search as utilizing an understanding of word meanings and relationships to provide more precise and complete search results. It then explains that a semantic network maps associations and meanings of words, including definitions, relationships, and enables both high precision and recall in search results. The presentation demonstrates how a semantic disambiguator and automated question answering system utilizing semantics can analyze language more accurately than traditional keyword searches.

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Semantic Web Summit East November 16 & 17, 2010 – Boston, MA What is Semantic Search? Bryan Bell Vice President, Enterprise Solutions bbell@expertsystem.net +1.847.508.7938 www.expertsytem.net Largest, fastest growing semantic software company worldwide
• What is semantic search? • Why is a semantic network important? • What is a semantic network? • Why does a semantic platform excel? • Precision vs. Recall and why it matters. • Disambiguator demonstration • Quick demonstration of a leading Question & Answer system. Today’s topics: 20 minutes • Ways to leverage semantic technology in your organization
What is semantic search? Semantics is the science of the meaning that lies beneath words and an understanding of the relationships between words.
Same word – Different meanings Jaguar = car jaguar = animal Jaguars = football team Different words – Same meaning Disability Legislation = Equal Opportunity Law Different words – Related meanings Organization = company Organization = trade union Organization = charity …because language is too ambiguous. Why is a semantic network important?
What is a semantic network? It is a complex map of associations and meanings of words: • Includes all definitions of all words. • Include relationships among all words. • This enables both high precision & high recall. The quality of results is directly related to the complexity and richness of the network. -- and -- The ability to PROPERLY ANALYZE words.
4 Requirements Definition Example Morphological Analysis understand word forms dog, dog-catcher, and doggy-bag are closely related Grammatical Analysis understand the parts of speech "There are 40 rows in the table" uses rows as a noun, vs. "She rows 5 times a week" uses rows as a verb Logical Analysis understand how words relate to other words “Davey Jones, represented by attorney Daniel Stanley, is married to Rebecca Carter". Rebecca is married to Davey not Daniel. Semantic Analysis (disambiguation) understand the context of key words "I used chicken broth for my soup stock" uses stock in the context of food, vs. "The company keeps lots of stock on hand" uses stock in the context of inventory. What does properly analyzed mean?
Why does a Semantic Platform excel? The answer is in primary measures of Information Management #1 – Precision (a measure of exactness) Retrieving a high level of accurate results that are relevant to your search. #2 – Recall (a measure of completeness) Retrieving a high percentage of relevant documents. Locating what applies. Keyword and math based technology can achieve one but not both.
Semantic Disambiguator The semantic understanding of words in context is a primary key to success. Semantic technology works at a real conceptual level.
Automated Q&A meets semantics - LIVE Demonstration - 50,000 questions / week = 26,000,000 questions annually 93% accuracy No human intervention Multi-language deployment R.O.I. $10 savings for each question answered automatically.
Ways to leverage semantics in your organization. Web site search Internal search Knowledge identification & extraction Web based self-help solutions E-mail security Sentiment Analysis Taxonomy developement Extending Ontologies Competitive Intelligence Collaberation Expert finder Help Desk / 800# operator support Intelligence Homeland Security Research & Development Data security PII & PHI Auto-Classification Application areas
The future of semantics • Semantics is a revolutionary approach to the management of unstructured information. • Keyword, statistics and shallow linguistics have reached their plateau. There are no significant developments possible, while the deep semantic understanding of content has a wide variety of applications for growing in many directions. • This means that semantic has the potential to become a pervasive technology. • The sooner you adopt the further ahead you will be. There will be a learning curve. Don’t let that slow you down.
Semantics and why it matters. Thank you. Bryan Bell Vice President, Enterprise Solutions bbell@expertsystem.net +1.847.508.7938 www.expertsytem.net Largest, fastest growing semantic software company worldwide

More Related Content

Bryan Bell Presentation

  • 1. Semantic Web Summit East November 16 & 17, 2010 – Boston, MA What is Semantic Search? Bryan Bell Vice President, Enterprise Solutions bbell@expertsystem.net +1.847.508.7938 www.expertsytem.net Largest, fastest growing semantic software company worldwide
  • 2. • What is semantic search? • Why is a semantic network important? • What is a semantic network? • Why does a semantic platform excel? • Precision vs. Recall and why it matters. • Disambiguator demonstration • Quick demonstration of a leading Question & Answer system. Today’s topics: 20 minutes • Ways to leverage semantic technology in your organization
  • 3. What is semantic search? Semantics is the science of the meaning that lies beneath words and an understanding of the relationships between words.
  • 4. Same word – Different meanings Jaguar = car jaguar = animal Jaguars = football team Different words – Same meaning Disability Legislation = Equal Opportunity Law Different words – Related meanings Organization = company Organization = trade union Organization = charity …because language is too ambiguous. Why is a semantic network important?
  • 5. What is a semantic network? It is a complex map of associations and meanings of words: • Includes all definitions of all words. • Include relationships among all words. • This enables both high precision & high recall. The quality of results is directly related to the complexity and richness of the network. -- and -- The ability to PROPERLY ANALYZE words.
  • 6. 4 Requirements Definition Example Morphological Analysis understand word forms dog, dog-catcher, and doggy-bag are closely related Grammatical Analysis understand the parts of speech "There are 40 rows in the table" uses rows as a noun, vs. "She rows 5 times a week" uses rows as a verb Logical Analysis understand how words relate to other words “Davey Jones, represented by attorney Daniel Stanley, is married to Rebecca Carter". Rebecca is married to Davey not Daniel. Semantic Analysis (disambiguation) understand the context of key words "I used chicken broth for my soup stock" uses stock in the context of food, vs. "The company keeps lots of stock on hand" uses stock in the context of inventory. What does properly analyzed mean?
  • 7. Why does a Semantic Platform excel? The answer is in primary measures of Information Management #1 – Precision (a measure of exactness) Retrieving a high level of accurate results that are relevant to your search. #2 – Recall (a measure of completeness) Retrieving a high percentage of relevant documents. Locating what applies. Keyword and math based technology can achieve one but not both.
  • 8. Semantic Disambiguator The semantic understanding of words in context is a primary key to success. Semantic technology works at a real conceptual level.
  • 9. Automated Q&A meets semantics - LIVE Demonstration - 50,000 questions / week = 26,000,000 questions annually 93% accuracy No human intervention Multi-language deployment R.O.I. $10 savings for each question answered automatically.
  • 10. Ways to leverage semantics in your organization. Web site search Internal search Knowledge identification & extraction Web based self-help solutions E-mail security Sentiment Analysis Taxonomy developement Extending Ontologies Competitive Intelligence Collaberation Expert finder Help Desk / 800# operator support Intelligence Homeland Security Research & Development Data security PII & PHI Auto-Classification Application areas
  • 11. The future of semantics • Semantics is a revolutionary approach to the management of unstructured information. • Keyword, statistics and shallow linguistics have reached their plateau. There are no significant developments possible, while the deep semantic understanding of content has a wide variety of applications for growing in many directions. • This means that semantic has the potential to become a pervasive technology. • The sooner you adopt the further ahead you will be. There will be a learning curve. Don’t let that slow you down.
  • 12. Semantics and why it matters. Thank you. Bryan Bell Vice President, Enterprise Solutions bbell@expertsystem.net +1.847.508.7938 www.expertsytem.net Largest, fastest growing semantic software company worldwide

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