Difference between revisions of "Cambridge Semantics - Enabling Data Agility and SPARQL2"

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Cambridge Semantics goal is to solve today’s business problems with Semantic Technologies. From its inception in 2007, Cambridge Semantics Inc. has been focused on providing practical solutions for today’s business problems using the most advanced semantic technology. While the technology is sophisticated, the approach is simple and immediately useful: make any data accessible to and consumable by any application that needs it.
 
Cambridge Semantics goal is to solve today’s business problems with Semantic Technologies. From its inception in 2007, Cambridge Semantics Inc. has been focused on providing practical solutions for today’s business problems using the most advanced semantic technology. While the technology is sophisticated, the approach is simple and immediately useful: make any data accessible to and consumable by any application that needs it.
  
Practical Applications of Semantic Technologies in the Enterprise – Mike Cataldo
+
Practical Applications of Semantic Technologies in the Enterprise – [[Mike Cataldo]]
  
 
For the enterprise, semantic technology offers a paradigm shift that will impact businesses on the same scale as the introduction of the personal computer or the advent of the internet. Semantic technology can put power in the hands of every day users that was previously the exclusive domain of IT, creating dramatic improvements in efficiency and responsiveness that can change the game for many businesses.
 
For the enterprise, semantic technology offers a paradigm shift that will impact businesses on the same scale as the introduction of the personal computer or the advent of the internet. Semantic technology can put power in the hands of every day users that was previously the exclusive domain of IT, creating dramatic improvements in efficiency and responsiveness that can change the game for many businesses.
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In order to realize this potential, semantic technology must be delivered in a lightweight package that allows for rapid realization of value that can scale throughout the enterprise. Further, the ability to build solutions must be well within the reach of non-technical users without the assistance of IT if desired. This session will show actual examples of how semantic technology has been deployed in just such a way, going from initial installation to enterprise-wide production deployment in a matter of days for the largest buyer of advertizing media in the world. In the context of this solution, you will see how spreadsheets are easily linked to a semantic data collaboration server and how data from those spreadsheets can be manipulated and browsed in a Web visualization tool.
 
In order to realize this potential, semantic technology must be delivered in a lightweight package that allows for rapid realization of value that can scale throughout the enterprise. Further, the ability to build solutions must be well within the reach of non-technical users without the assistance of IT if desired. This session will show actual examples of how semantic technology has been deployed in just such a way, going from initial installation to enterprise-wide production deployment in a matter of days for the largest buyer of advertizing media in the world. In the context of this solution, you will see how spreadsheets are easily linked to a semantic data collaboration server and how data from those spreadsheets can be manipulated and browsed in a Web visualization tool.
  
What’s coming with SPARQL 2 – Lee Feigenbaum
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What’s coming with SPARQL 2 – [[Lee Feigenbaum]]
  
 
Since 2004 and its standardization at the beginning of last year, SPARQL has found a role as a key W3C Semantic Web standard for building applications that consume semantic data. There are over 30 SPARQL implementations available and it's rare to find a single Semantic Web application today that doesn't make heavy use of SPARQL.
 
Since 2004 and its standardization at the beginning of last year, SPARQL has found a role as a key W3C Semantic Web standard for building applications that consume semantic data. There are over 30 SPARQL implementations available and it's rare to find a single Semantic Web application today that doesn't make heavy use of SPARQL.
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===Speakers===
 
===Speakers===
  
Mike Cataldo is the CEO of Cambridge Semantics, a leader in providing the most advanced and most practical semantic solutions. Prior to becoming CEO of Cambridge Semantics, Mike was a private investor and management consultant focused early stage companies. In 1997 Mike founded and served as CEO of, MediVation, Inc., which developed the first ePPi (Electronic Provider Patient Interface) an internet-based solution that allowed doctors to connect to their own patients. After becoming the dominant player in the space, Mike sold the company to McKesson Corporation in 2000. Prior to MediVation, Mike served as the general manager of Optika Imaging's healthcare division and Vice President of Sales and Marketing for STC Corporation whose DataGate product became the de facto standard for healthcare integration technology. In his early career, Mike held various management, marketing and sales positions at IBAX Healthcare Systems, Shared Medical Systems and Cable and Wireless. Mike graduated from Columbia University with a B.A. in Economics in 1983.
+
[[Mike Cataldo]] is the CEO of Cambridge Semantics, a leader in providing the most advanced and most practical semantic solutions. Prior to becoming CEO of Cambridge Semantics, Mike was a private investor and management consultant focused early stage companies. In 1997 Mike founded and served as CEO of, MediVation, Inc., which developed the first ePPi (Electronic Provider Patient Interface) an internet-based solution that allowed doctors to connect to their own patients. After becoming the dominant player in the space, Mike sold the company to McKesson Corporation in 2000. Prior to MediVation, Mike served as the general manager of Optika Imaging's healthcare division and Vice President of Sales and Marketing for STC Corporation whose DataGate product became the de facto standard for healthcare integration technology. In his early career, Mike held various management, marketing and sales positions at IBAX Healthcare Systems, Shared Medical Systems and Cable and Wireless. Mike graduated from Columbia University with a B.A. in Economics in 1983.
  
Lee Feigenbaum uses Semantic Web technologies to architect and develop enterprise middleware and applications since 2003. He brings his expertise to his role as Cambridge Semantics's VP of Technology and Standards, where he is responsible for the design and development of the SHAPE Middleware Platform for building enterprise semantic applications. Lee also contributes to the Open Anzo project, an open-source enterprise RDF store and middleware platform. He is the author of Glitter, a pluggable SPARQL engine designed to query multiple data sources. Lee is Chair of the W3C RDF Data Access Working Group, publishing the SPARQL query language and protocol specifications. Lee co-authored "The Semantic Web in Action," a December 2007 article in Scientific American. Before joining Cambridge Semantics, Lee spent five years as an engineer with IBM's Advanced Internet Technology Group. There, his experiences spanned knowledge management and annotation systems, instant-messaging software, and Web-based client application run-times.
+
[[Lee Feigenbaum]] uses Semantic Web technologies to architect and develop enterprise middleware and applications since 2003. He brings his expertise to his role as Cambridge Semantics's VP of Technology and Standards, where he is responsible for the design and development of the SHAPE Middleware Platform for building enterprise semantic applications. Lee also contributes to the Open Anzo project, an open-source enterprise RDF store and middleware platform. He is the author of Glitter, a pluggable SPARQL engine designed to query multiple data sources. Lee is Chair of the W3C RDF Data Access Working Group, publishing the SPARQL query language and protocol specifications. Lee co-authored "The Semantic Web in Action," a December 2007 article in Scientific American. Before joining Cambridge Semantics, Lee spent five years as an engineer with IBM's Advanced Internet Technology Group. There, his experiences spanned knowledge management and annotation systems, instant-messaging software, and Web-based client application run-times.
  
  
 
===External Links===
 
===External Links===
http://www.thefigtrees.net/lee/blog/
+
TechnicaLee Speaking http://www.thefigtrees.net/lee/blog/<br>
Cambridge Semantics http://www.cambridgesemantics.com/
+
Cambridge Semantics http://www.cambridgesemantics.com/<br>
SPARQL Working Group Wiki http://www.w3.org/2009/sparql/wiki/Main_Page
+
SPARQL Working Group Wiki http://www.w3.org/2009/sparql/wiki/Main_Page<br>
  
  

Revision as of 09:32, 20 May 2020

Date: Thursday, October 1, 2009

Time: 6:30 PM to 9:30 PM EDT

Location: Memorial Sloan Kettering Cancer Center, Zuckerman Research Center , 417 E 68th St, New York, NY 10065, United States

Cambridge Semantics goal is to solve today’s business problems with Semantic Technologies. From its inception in 2007, Cambridge Semantics Inc. has been focused on providing practical solutions for today’s business problems using the most advanced semantic technology. While the technology is sophisticated, the approach is simple and immediately useful: make any data accessible to and consumable by any application that needs it.

Practical Applications of Semantic Technologies in the Enterprise – Mike Cataldo

For the enterprise, semantic technology offers a paradigm shift that will impact businesses on the same scale as the introduction of the personal computer or the advent of the internet. Semantic technology can put power in the hands of every day users that was previously the exclusive domain of IT, creating dramatic improvements in efficiency and responsiveness that can change the game for many businesses.

In order to realize this potential, semantic technology must be delivered in a lightweight package that allows for rapid realization of value that can scale throughout the enterprise. Further, the ability to build solutions must be well within the reach of non-technical users without the assistance of IT if desired. This session will show actual examples of how semantic technology has been deployed in just such a way, going from initial installation to enterprise-wide production deployment in a matter of days for the largest buyer of advertizing media in the world. In the context of this solution, you will see how spreadsheets are easily linked to a semantic data collaboration server and how data from those spreadsheets can be manipulated and browsed in a Web visualization tool.

What’s coming with SPARQL 2 – Lee Feigenbaum

Since 2004 and its standardization at the beginning of last year, SPARQL has found a role as a key W3C Semantic Web standard for building applications that consume semantic data. There are over 30 SPARQL implementations available and it's rare to find a single Semantic Web application today that doesn't make heavy use of SPARQL.

But SPARQL is incomplete, and since earlier this year a new W3C Working Group has been chartered to fill many of the gaps in the SPARQL landscape. In this talk, Lee Feigenbaum, Co-chair of the SPARQL Working Group, will give a brief introduction to SPARQL, and will then focus on what's coming in SPARQL 2. Come learn what's on tap for features like SPARQL/Update, aggregates, SPARQL service description, federated query, SPARQL & OWL, and more.

Speakers

Mike Cataldo is the CEO of Cambridge Semantics, a leader in providing the most advanced and most practical semantic solutions. Prior to becoming CEO of Cambridge Semantics, Mike was a private investor and management consultant focused early stage companies. In 1997 Mike founded and served as CEO of, MediVation, Inc., which developed the first ePPi (Electronic Provider Patient Interface) an internet-based solution that allowed doctors to connect to their own patients. After becoming the dominant player in the space, Mike sold the company to McKesson Corporation in 2000. Prior to MediVation, Mike served as the general manager of Optika Imaging's healthcare division and Vice President of Sales and Marketing for STC Corporation whose DataGate product became the de facto standard for healthcare integration technology. In his early career, Mike held various management, marketing and sales positions at IBAX Healthcare Systems, Shared Medical Systems and Cable and Wireless. Mike graduated from Columbia University with a B.A. in Economics in 1983.

Lee Feigenbaum uses Semantic Web technologies to architect and develop enterprise middleware and applications since 2003. He brings his expertise to his role as Cambridge Semantics's VP of Technology and Standards, where he is responsible for the design and development of the SHAPE Middleware Platform for building enterprise semantic applications. Lee also contributes to the Open Anzo project, an open-source enterprise RDF store and middleware platform. He is the author of Glitter, a pluggable SPARQL engine designed to query multiple data sources. Lee is Chair of the W3C RDF Data Access Working Group, publishing the SPARQL query language and protocol specifications. Lee co-authored "The Semantic Web in Action," a December 2007 article in Scientific American. Before joining Cambridge Semantics, Lee spent five years as an engineer with IBM's Advanced Internet Technology Group. There, his experiences spanned knowledge management and annotation systems, instant-messaging software, and Web-based client application run-times.


External Links

TechnicaLee Speaking http://www.thefigtrees.net/lee/blog/
Cambridge Semantics http://www.cambridgesemantics.com/
SPARQL Working Group Wiki http://www.w3.org/2009/sparql/wiki/Main_Page


Session Classification

Session-Level: Beginner-Intermediate

Session-Type: Business-Technology-Application