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WORLDCOMP'12 Tutorial: Professors Victor Raskin & Julia M. Taylor

Last modified 2013-02-10 14:00

Accessing Comprehensive Meaning in Information and Language Processing
Professors Victor Raskin 1 & Julia M. Taylor 2


1 Distinguished Professor , English & Linguistics
Professor, CS (courtesy)
Associate Director & Charter Fellow, CERIAS
Purdue University, USA

2 Assistant Professor, Computer & Information Technology
Fellow, CERIAS
Purdue University, USA


Date: July 17, 2012
Time: 6:00pm
Location: Platinum Room


Abstract

    After a couple of decades of real progress in machine learning, most information and natural language processing is committed to this methodology. It has proven to be quite successful in text-clustering applications and those domains where the 80+% accuracy is sufficient. Its limitation is that it cannot access the meaning of the text, and increasingly many of the existing applications, such as e-discovery, and many future applications do or will put more semantic demands on the processing. The tutorial will present the Ontological Semantic Technology as a reasonably mature, feasible, and partially implemented approach to accessing the meaning of text or any other information whether structured or not at an appropriate grain size—by storing a considerable amount of information in a knowledge-of-the-world (ontology) and specific language meaning (lexicons) resources and improving the software that generates the text-meaning representations of text. Among other things, the why and how of feasibility will be discussed. The approach is, of course, rule-based, and it is not offered to replace machine-learning but rather to defer machine-learning to be applied to a more advanced and enriched semantic base, where we do not yet possess enough knowledge to formulate the rules.


Objective

    To demonstrate to a wide audience of researchers, knowledge engineers, and information technology experts that comprehensive meaning is a feasible goal to shoot for and to argue that full semantic information increases the accuracy of applications and their customer acceptance rate.


Intended Audience

    Researchers in all areas of information and natural language processing, including the biomedical, healthcare and security domains, as well as knowledge engineers and information technology experts.


Biography of Instructors

    Prof. Victor Raskin earned all of his degrees in Structural, Computational and Mathematical Linguistics from Moscow State University, now Moscow Lomonosov University (Ph.D., 1970; M.A./M.S., 1966, B.A./B.S., 1964), with minors in mathematical logic, computer science, and cognitive psychology. He taught in his alma mater in 1966-1973, The Hebrew University of Jerusalem (full time) and Tel Aviv University (part time) in 1973-78, University of Michigan (Spring 1978), and Purdue University (since Fall 1978), where he is now Distinguished Professor of English and Linguistics; Professor of Computer Science (courtesy); Co-Founder, Associate Director, and Charter Fellow, Center for Education and Research in Information Assurance and Security (CERIAS), Founder and Coordinator, Natural Language Processing Laboratory. He has published 17 books and over 200 papers on natural language semantics and its applications, from such soft ones as rhetoric and humor research to such hard ones as linguistic engineering, natural language and information processing, computational humor/social computing, natural language information assurance security, and—most recently—robotic intelligence and communication.

    Prof. Julia M. Taylor earned her Ph.D. in Computer Science and Engineering in 2008, M.S. in Computer Science in 2004, and B.S. in Computer Science and B. A. in Mathematics in 1999 at the University of Cincinnati,. After a short postdoc at the Cincinnati Children Hospital and Medical Center, she worked as Senior Research Engineer at RiverGlass, Inc. (2008-2011), improving and implementing the Ontological Semantic Technology for an analytics application. She was a Visiting Scholar at Purdue since 2008 and joined CERIAS as a Research Assistant Professor in June 2011. Since January 2012, she has been a tenure-track Assistant Professor of Computer and Information Technology as well as a Fellow of CERIAS. She has published over 35 peer-reviewed papers in artificial intelligence, computational humor, computational semantics, fuzzy logic, information security, and robotic communication and intelligence and serves as a consulting editor for HUMOR: International Journal of Humor Research.

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2012 Co-Sponsors
Bioinformatics & Computational Biology Program
George Mason University, USA

Biomedical Cybernetics Laboratory
HST of Harvard University & MIT, USA

Minnesota Supercomputing Institute
University of Minnesota, USA

Center for Cyber Defense, NCAT

Argonne's Leadership Computing Facility of Argonne National Laboratory
Illinois, USA

The Center for Advanced Studies in Identity Sciences
(CASIS: NC A&T;, Carnegie Mellon, Clemson, UNC Wilmington

Knowledge Management & Intelligent System Center (KMIS)
University of Siegen, Germany

Intelligent Cyberspace Engineering Lab., ICEL
Texas A&M; University, Texas, USA
UMIT, Institute of Bioinformatics and Translational Research
Austria

Hawkeye Radiology Informatics
Department of Radiology, College of Medicine, University of Iowa, USA

The International Council on Medical and Care Compunetics
US Chapter of World Academy of Science

Supercomputer Software Department (SSD)
Institute of Computational Mathematics & Mathematical Geophysics, Russian Academy of Sciences


International Society of Intelligent Biological Medicine

Medical Image HPC & Informatics Lab (MiHi Lab)
University of Iowa, USA

High Performance Computing for Nanotechnology (HPCNano)

Manx Telecom

Computer Science Research, Education, and Applications Press;

World Academy of Biomedical Sciences and Technologies




Super Micro Computer, Inc.,
San Jose, California, USA


Intel Corporation


Altera Corporation


Hodges Health

Leading Knowledge


Science Publication

 


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