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July 17, 2013
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July 22-25, 2013
The 2013 World Congress in Computer Science, Computer Engineering, and Applied Computing

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WORLDCOMP'13 Tutorial: Professors Julia M. Taylor & Victor Raskin

Last modified 2014-05-04 18:17

Accessing Comprehensive Meaning in Information and Language Processing

Professors Julia M. Taylor 1 & Victor Raskin 2

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

2 Distinguished Professor , English & Linguistics
Professor, Computer Science (courtesy)
Professor, Computer and Information Technology (courtesy)
Associate Director & Charter Fellow, CERIAS
Purdue University, USA

Date: July 22, 2013
Time: 6:00pm
Location: Montecristo 1


    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. The tutorial follows the highly successful WorldComp WORLDCOMP 2012 tutorial and adds new improvements to its agenda.


    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 will 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), 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 and of Computer and Information Technology (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. The presenters co-chaired the competitively selected AAAI Fall Series Symposium on the Artificial Intelligence of Humor in Arlington, VA, in November 2012.

    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 50 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. The presenters co-chaired the competitively selected AAAI Fall Series Symposium on the Artificial Intelligence of Humor in Arlington, VA, in November 2012.

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