Dr. Leo Obrst Information Semantics Cognitive Science & Artificial Intelligence Information Technology Technical Center Center for Connected Government.

Slides:



Advertisements
Similar presentations
Dr. Leo Obrst MITRE Information Semantics Information Discovery & Understanding Command & Control Center February 6, 2014February 6, 2014February 6, 2014.
Advertisements

Ontology Summit 2011: Making the Case for Ontology Community Input & Brainstorming Session December 16, 2010 Steve Ray, CMU Nicola Guarino, ISTC-CNR 1.
Emerging Ontology Showcase Ken Baclawski Northeastern University.
E-Science Data Information and Knowledge Transformation Thoughts on Education and Training for E-Science Based on edikt project experience Dr. Denise Ecklund.
The 20th International Conference on Software Engineering and Knowledge Engineering (SEKE2008) Department of Electrical and Computer Engineering
Knowledge Management and Engineering David Riaño.
A Brief History of Artificial Intelligence
FT228/4 Knowledge Based Decision Support Systems Rule-Based Systems Ref: Artificial Intelligence A Guide to Intelligent Systems Michael Negnevitsky – Aungier.
Artificial Intelligence and Lisp Lecture 13 Additional Topics in Artificial Intelligence LiU Course TDDC65 Autumn Semester, 2010
PSU CS 370 – Artificial Intelligence Dr. Mohamed Tounsi Artificial Intelligence 1. Introduction Dr. M. Tounsi.
COMP 4640 Intelligent & Interactive Systems Cheryl Seals, Ph.D. Computer Science & Software Engineering Auburn University.
© 2002 Franz J. Kurfess Introduction 1 CPE/CSC 481: Knowledge-Based Systems Dr. Franz J. Kurfess Computer Science Department Cal Poly.
The Semantic Web Week 1 Module Content + Assessment Lee McCluskey, room 2/07 Department of Computing And Mathematical Sciences Module.
Introduction to Artificial Intelligence Prof. Kathleen McKeown 722 CEPSR, TAs: Kapil Thadani 724 CEPSR, Phong Pham TA Room.
© 2001 Franz J. Kurfess Introduction 1 CPE/CSC 580: Knowledge Management Dr. Franz J. Kurfess Computer Science Department Cal Poly.
Semantic Web Technologies Lecture # 2 Faculty of Computer Science, IBA.
IAOA The International Association for Ontology and its Applications Ontolog virtual panel, June 18th, 2009 Nicola Guarino ISTC-CNR, Laboratory for Applied.
Some Thoughts to Consider 6 What is the difference between Artificial Intelligence and Computer Science? What is the difference between Artificial Intelligence.
Reference: "Artificial Intelligence, a Modern Approach, 3rd ed."
Semantic Web outlook and trends May The Past 24 Odd Years 1984 Lenat’s Cyc vision 1989 TBL’s Web vision 1991 DARPA Knowledge Sharing Effort 1996.
Artificial Intelligence Dr. Paul Wagner Department of Computer Science University of Wisconsin – Eau Claire.
General Chairs: Nicola Guarino, Leo Obrst Ontology Summit 2012 Ontology for Big Systems Session 2: What’s in Scope? Thursday, January 19, 2012.
Knowledge representation
© 2008 The MITRE Corporation. All rights reserved 26 June 2008 Semantic Web Ontologies and Rules With Efficient Runtime Reasoning Using Logic Programming.
Knowledge Fusion Research WorkshopNovember 29 - December 1, Knowledge Fusion Education Richard Scherl Computer Science Department Monmouth University.
101: An Introduction to All Things ESIP Peter Fox, ESIP President January 6, 2015.
Assoc. Prof. Abdulwahab AlSammak. Course Information Course Title: Artificial Intelligence Instructor : Assoc. Prof. Abdulwahab AlSammak
Introduction to Science Informatics Lecture 1. What Is Science? a dependence on external verification; an expectation of reproducible results; a focus.
ARTIFICIAL INTELLIGENCE DR. ABRAHAM AI a field of computer science that is concerned with mechanizing things people do that require intelligent.
Artificial Intelligence (AI) is the science known for making intelligent machines. In this context intelligence means the ability of machines to simulate.
 Dr. Syed Noman Hasany 1.  Review of known methodologies  Analysis of software requirements  Real-time software  Software cost, quality, testing.
Minds & Machines Program Director: Bram van Heuveln.
Andreas Abecker Knowledge Management Research Group From Hypermedia Information Retrieval to Knowledge Management in Enterprises Andreas Abecker, Michael.
1 2010/2011 Semester 2 Introduction: Chapter 1 ARTIFICIAL INTELLIGENCE.
Nancy Wiegand SSO 2011 Spatial Ontology Community of Practice (SOCoP) SOCoP was developed because of the: –Recognition of the semantic interoperability.
SOCoP Dec Geospatial Semantics Nancy Wiegand University of Wisconsin - Madison.
Trustworthy Semantic Webs Dr. Bhavani Thuraisingham The University of Texas at Dallas Lecture #4 Vision for Semantic Web.
Ontology and Databases 1. We'll go around with a self-introduction of participants (10~15 minutes) - we'll skip this if we have more than 20 participants.
3rd Indian International Conference on Artificial Intelligence 2007, Puna, India Jan Rauch, KIZI.
Conclusions Presenter: Manolis Koubarakis Extended Semantic Web Conference 2012.
Copyright 2009 The MITRE Corporation Dr. Leo Obrst MITRE Information Semantics Group Ontologies and Controlled Vocabularies for Communities of Interest.
THE SEMANTIC WEB By Conrad Williams. Contents  What is the Semantic Web?  Technologies  XML  RDF  OWL  Implementations  Social Networking  Scholarly.
CS344 Artificial Intelligence Prof. Pushpak Bhattacharya Class on 26 Mar 2007.
Music in Artificial Intelligence Victoria Tran. Why Music in Artificial Intelligence? Technology is improving every day, so music is beginning to depend.
Leo Obrst, Fabian Neuhaus MITRE, NIST An Open Ontology Repository: Rationale, Expectations & Requirements Session.
Introduction: What is AI? CMSC Introduction to Artificial Intelligence January 3, 2002.
Introduction: What is AI? CMSC Introduction to Artificial Intelligence January 7, 2003.
COMP 4640 Intelligent & Interactive Systems Cheryl Seals, Ph.D. Computer Science & Software Engineering Auburn University.
COMPUTER SYSTEM FUNDAMENTAL Genetic Computer School INTRODUCTION TO ARTIFICIAL INTELLIGENCE LESSON 11.
1© Copyright 2012 EMC Corporation. All rights reserved. Turning Big Data into Competitive Advantage “Big data will represent a hugely disruptive force.
Ontologies COMP6028 Semantic Web Technologies Dr Nicholas Gibbins
Introduction to Artificial Intelligence Heshaam Faili University of Tehran.
Introduction to Artificial Intelligence Prof. Kathleen McKeown 722 CEPSR Tas: Andrew Rosenberg Speech Lab, 7 th Floor CEPSR Sowmya Vishwanath TA Room.
Dr. Amanda Vizedom (Criticollab, LLC)
Electrical Engineering
Artificial Intelligence
Artificial intelligence (AI)
Ontology Framework: Results of Ontology Summit 2007
Artificial Intelligence and Lisp Lecture 13 Additional Topics in Artificial Intelligence LiU Course TDDC65 Autumn Semester,
COMP 4640 Intelligent & Interactive Systems
Basic Intro Tutorial on Machine Learning and Data Mining
COMP62342: Ontology Engineering for the Semantic Web
Semantic Web Visioning Exercise
Introducing Semantic Web Technologies:
Logic for Artificial Intelligence
TA : Mubarakah Otbi, Duaa al Ofi , Huda al Hakami
Co-champions: Mike Bennett, Andrea Westerinen
Data and Applications Security Developments and Directions
Artificial Intelligence
AI Application Session 12
Presentation transcript:

Dr. Leo Obrst Information Semantics Cognitive Science & Artificial Intelligence Information Technology Technical Center Center for Connected Government Ontolog Phase 2: Board of Trustees Community Session Background & Vision June 26, 2014

2 My Background U Texas Austin, PhD, Theoretical Linguistics: Semantics First Energy, SoftCraft, Texas Instruments, UT AI Lab, MCC, Intelligent Business Systems, Logos, Boeing, MITRE, VerticalNet, MITRE Computational Linguist & AI/Computer Scientist ( present), Ontologist (since 1995): many programming languages, but mostly Common Lisp, Prolog Director, Ontological Engineering, VerticalNet, Co-Convenor of Ontolog, 2002 (with Peter Yim, Kurt Conrad) W3C Web Ontology Working Group (OWL), Created Information Semantics Group, MITRE, 2002 International Association for Ontology and Its Applications (IAOA) Executive Council, 2009 – present Interests: Knowledge Representation, Ontology Engineering, Logic Programming, Knowledge Compilation/Optimization, Event Reasoning, Decision Support, Governmental, and Intelligence Applications of AI

Current Research & Efforts Event-based ontology representation for NLP and predictive analytics Ontology representation and rule reasoning for financial compliance, analytics; soon: electronic healthcare records Knowledge compilation/optimization techniques for subsumption and rule reasoning Prolog and Answer Set Programming for rule reasoning Transforming and linking vocabularies and ontologies 3

Vision for Ontolog Provide continuity, stability, and potential transformation to the Ontolog Community of Practice New products, new ways of doing things, new people Outreach beyond USA and Europe to Asia, Africa, Australia –How do we do this and, e.g., have real-time participation in virtual sessions, given multiple time-zones? Multiple “Secretariats” and Groups focused on specific tasks, aspects, events, products? Beyond current Ontology Summit products: books, etc. 4