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Dmitri
Roussinov
Assistant Professor Department of
Phone: (480) 965-8488 |
Interests and Expertise:
Information Systems, Knowledge
Management, Human Language Technologies, Information Retrieval, Internet Search
Engines, Security Informatics, Human Computer Interaction, Databases and more.
Please see my CV for details.
Professional Experience
2001-Current, Assistant Professor: Department of
Information Systems, Arizona State University, USA
1999-2001, Assistant Professor: School of
Information Studies, Syracuse University, USA
1996-1999, Graduate Research Associate: Karl Eller
Graduate School of Management, The
University of
1995-1996, Graduate Research Assistant:
Economics
Science Laboratory (chaired by Nobel Prize winner Prof. V. Smith), The
1994-1996, Senior Software Engineer, Coextant Systems,
1990-1993, Software Engineer, Nuclear Safety
Institute,
Education
PhD, Information Systems, University of
Arizona, August 1999. Supervisor:
McClelland
Professor of MIS Dr.
Hsinchun Chen.
Master of Arts, Economics, Indiana University,
August 1995.
Master and Bachelor of Science, Computer Science,
Moscow Institute of Physics and Technology ,
1991.
Publications
Roussinov, D., and Chau, M., Combining Fact Seeking
Services on the Web, forthcoming
2008 in a special issue of Journal of
Association for Information Systems (JAIS) on “Securing and cultivating information
supply chain.”
Fong, S.W., Roussinov, D, and D.B.
Skillicorn, Detecting Word Substitutions in Text. IEEE
Transactions on Knowledge and Data Engineering (TKDE), special issue on
Security and Terrorism Informatics, forthcoming
2008.
Roussinov,
D., Fan, W., and Robles, J., Beyond Keywords: Automated Question Answering
on the Web. Communications
of the ACM (CACM), forthcoming.
Roussinov,
D., and O. Turetken, Semantic
Verification in an Online Fact Seeking Environment, ACM Conference on Information and
Knowledge Management, 2007, pp. 71-78, Lisbon, Portugal.
Roussinov,
D., Fong, S., and Skillicorn, D.B., Detecting Word Substitutions: PMI vs.
HMM, In the proceedings of 30th
Annual International ACM SIGIR Conference on Research and Development in Information
Retrieval (poster), 23-27 July
2007, Amsterdam, Netherlands.
Roussinov,
D., and Muresan, G., Internet Mining vs. Pseudo Relevance, Proceedings
of the Annual Meeting of the American
Society for Information Science and Technology. (ASIST 2007),
Gheorghe
Muresan and Dmitri Roussinov (2006). Where
Do Good Query Terms Come From? Proceedings of the Annual Meeting of the
American Society for Information Science and Technology. (ASIST
2006), Austin, Texas, November 2006, (HTML).
This paper describes a framework
for investigating the quality of different query expansion approaches, namely
pseudo-relevance feedback, language mode clarity and based on internet mining …
Fong, S., Skillicorn, D.B, and Roussinov, D.,
Measures to Detect Word Substitution in Intercepted
Communication. In proceedings of IEEE Intelligence and Security
Informatics Conference (ISI 2006),
Those who want to conceal the
content of their communications can do so by replacing words that might trigger
attention by other words or locutions that seem more ordinary. We address the problem
of discovering such substitutions…
Fong, S., Skillicorn, D.B, and Roussinov, D., Detecting Word Substitution in Adversarial Communication. In proceedings of Workshop on Link Analysis, Counterterrorism and Security, SIAM Conference on Data Mining, April 20-22, 2006, Bethesda, MD
… terrorists
and criminals may replace words by other words or locutions… we consider ways
to detect replacements that have similar frequencies to the original words.
Roussinov,
D., Chau., M., Web Fact Seeking For Business
Intelligence: a
Inspired by our exploration
of the applicability of automated question answering (QA) technology to the task
of business intelligence and general design science principle, we advocate a meta approach to the QA (fact seeking) applications…
Roussinov, D., and Fan, W., Learning
Ranking vs. Modeling Relevance,
we have designed a representation
scheme, which is based on the discretized form of the high level statistics of
the query term occurrences (such as tf, df, and document length) rather than
individual terms..…
Roussinov, D., Chau., M., Filatova, E., Robles, J., Building on Redundancy: Factoid Question Answering,
Robust Retrieval and the “Other”. In proceedings of TREC 2005, Nov.
15-18, 2005.
We have explored how
redundancy based techniques can be used in improving factoid question
answering, definitional questions (“other”), and robust retrieval…
N.J. Belkin, M. Cole, J.
Gwizdka, Y.-L. Li, J.-J. Liu, G. Muresan, D.
Within the structure of the
TREC 2005 HARD track guidelines, we investigated the following hypotheses …
Roussinov, D., and Robles,
J., Applying Question
Answering Technology to Locating Malevolent Online Content. Decision
Support Systems, 43 (4), 2007, pp. 1404-1418.
We have empirically compared
two classes of technologies capable of locating potentially malevolent online
content: 1) popular keyword searching and 2) emerging question answering
(QA)..…
Roussinov, D. and Chau., M. Web Fact Seeking Meta Engine for Business Information
Needs. The Fifteenth Annual Workshop on Information Technologies and
Systems (WITS'05), (demo session)
Based on the results of our
surveys and interviews with business intelligence practitioners and success of meta search engines, we advocate a meta approach to
automated question answering.
Roussinov, D., Fan, W., and
Das Neves, F.A. Semantic
Verification for Fact Seeking Engines. In
proceedings of 2005 ACM Conference on Knowledge and Information Management.
We present the architecture
of our web question answering (fact seeking) system and introduce a novel
algorithm to validate semantic categories of the expected answers..…
Roussinov, D., Fan, W., and
Das Neves, F.A. Learning
Global and Local Weighting for Information Retrieval. In
proceedings of 2005 ACM Conference on Knowledge and Information Management.
Roussinov, D., and Fan, W., Discretization
Based Learning Approach to Information Retrieval. In proceedings of 2005 Conference on Human Language Technologies.
Roussinov, D., Zhao, L., and
Fan, W. Mining Context Specific Similarity Relationships Using The World Wide
Web.
In proceedings of 2005
Conference on Human Language Technologies.
We have studied how context specific
web corpus can be automatically created and mined for discovering semantic
similarity relationships between terms (words or phrases)….
Roussinov, D. and Robles, J. How Question
Answering Technology Helps to Locate Malevolent Online Content. 2005 IEEE
Conference on Intelligence and Security Informatics,
We have suggested and
empirically evaluated an alternative technology (automated question answering
or QA) capable of locating potentially malevolent online content…
Cao, J., Roussinov, D., Robles, J.,
Nunamaker, J., Automated
Question Answering From Videos: NLP vs. Pattern Matching, Hawaii International Conference on System Sciences
(HICSS-38).
We have explored the
feasibility of automated question answering from video material…
Roussinov, D. and Robles, J.,
Ding, Y., Experiments
with Web QA System and TREC2004 Questions. In the
proceedings of TREC
conference.
Although, we were able to run
only first 91 out of 230 factoid questions before the submission deadline, we
find our result encouraging, and if interpolated to the entire questions set,
would be above the mean performance on factoid questions.
Roussinov, D., and Robles, J., Learning
Patterns to Answer Open Domain Questions on the Web. In the proceedings of 27th
Annual International ACM SIGIR Conference on Research and Development in
Information Retrieval,
We present a probabilistic
approach to automated question answering on the Web, based on trainable patterns, answer
triangulation and semantic filtering.
Roussinov, D., and Robles, J., Self-Learning Web
Question Answering System. In
the proceedings of 2004 World Wide Web
Conference.
We present a probabilistic
approach to automated question answering on the Web, based on pattern matching
and answer triangulation.
Roussinov, D., and Robles, J., Web Question
Answering Through Automatically Learned Patterns. In the proceedings of The Joint
Conference on Digital Libraries. June 7 -11,
2004,
We explore the feasibility of
a completely trainable approach to the automated question answering on the Web.
Roussinov, D., and Robles, J., Web Question Answering:
Technology and Business Applications. In the proceedings of 2004 American
Conference on Information Systems. August 6 – 8,
We have explored the
feasibility of a completely trainable approach to automated question answering
on the Web for the purpose of business intelligence and other practical
applications.
Roussinov, D., and Zhao,
L., Text
clustering and summary techniques for CRM message management, Enterprise
Information Management, 17(6) , 2004,
pp. 424-429.
Roussinov, D., and Zhao,
L., Automatic Discovery of Similarity Relationships
through Web Mining, Decision Support Systems, 35, 2003, pp.
149-166.
This work demonstrates how
the World Wide Web can be mined in a fully automated manner for discovering the
semantic similarity relationships among the concepts surfaced during an
electronic brainstorming session ...
Roussinov, D., and Zhao,
L., Message Sense Maker:
Engineering a Tool Set for Customer Relationship Management, Hawaii International Conference on System Sciences
(HICSS-35).
We develop new issue
identification techniques based on clustering and context aware similarity
networks to enable managers to discover knowledge in text messages…
Roussinov, D., and Zhao, L., Making Sense of CRM Messages: an Interactive Toolset, AIS 2002 Americas Conference on
Information Systems,
We introduce an interactive
toolset that can facilitate the exploration of CRM data semi-automatically ...
through a sequence of steps: 1) identifying descriptive terms, 2) identifying
semantic relationships between the terms, and 3) grouping CRM messages into
clusters of related issues.
Roussinov, D., and Chen, H.,
"Information
Navigation on the Web by Clustering and Summarizing Query Results,"
Information Processing and Management,
37 (6), 2001, pp. 789-816.
We have explored and
evaluated a novel approach to information seeking that is grounded in the idea of
summarizing query results through automated document clustering...
Roussinov, D., Crowston,
K., Nilan, M., Kwasnik, B., Cai, J. and Liu, X.,
"Genre Based Navigation on the Web," Hawaii
International Conference on System Sciences (HICSS-34).
We report on our ongoing
study of using the genre of Web pages to facilitate information exploration. By
genre, we mean socially recognized regularities of form and purpose in
documents (e.g., a letter, a memo, a research paper)...
Roussinov, D. and Chen, H.,
Document Clustering For Electronic Meetings: An
Experimental Comparison Of Two Techniques, Decision Support Systems, 27 (1-2),
1999, pp. 67-79.
... We report our
implementation and comparison of two text clustering techniques: Ward's
clustering and Kohonen's Self-organizing Maps. We have evaluated how closely
clusters produced by a computer resemble those created by human experts...
Roussinov, D. and McQuaid,
M., "Information Navigation by Clustering and Summarizing Query
Results," Proceedings of Hawaii International Conference on System Sciences
(HICSS-33),
We have explored and
evaluated a novel approach to information seeking grounded in the idea of
summarizing query results through automated document clustering...
Roussinov, D., "Information Foraging
Through Automatic Clustering and Summarization: A Self-Organizing Approach,"
Doctoral Dissertation, University of Arizona, August 1999.
Advisors: Hsinchun
Chen, Jay Nunamaker, Olivia Sheng.
... This dissertation
attempted to determine whether automated clustering can help to find relevant
information by suggesting an innovative implementation and verifying its potential
ability to be of help...
Roussinov, D., Tolle,
K., Ramsey M., McQuaid,
M., and Chen, H., "Visualizing Internet Search Results with
Adaptive Self-Organizing Maps," Proceedings of ACM SIGIR, August 15- 19, 1999,
Berkeley, CA. (demo)
... Our prototype acts as a
visualizing layer between the user and a commercial Web search engine
(AltaVista). Our system summarizes search results and suggests additional terms
for query modification...
Roussinov, D., Tolle,
K., Ramsey M., and Chen, H.,
"Interactive
Internet Search through Automatic Clustering: an Empirical Study,"
Proceedings of ACM SIGIR, August 15- 19, 1999,
Berkeley, CA. (poster)
... We have developed and
empirically evaluated a method of information seeking (called Adaptive Search)
that combines automatic document clustering and user feedback in a novel way
...
Roussinov, D., Internet Search
Using Adaptive Visualization, Proceedings of ACM SIGCHI 1999 Conference
on Human Factors in Computing Systems, Doctoral Consortium, May
15-20, 1999, Pittsburgh, PA
... My research in progress
on leveraging navigation by interactively providing the ability to modify the
concept maps themselves has led me to believe that this functionality increases
responsiveness to the user and makes searching more effective. I explored both
what adaptive features users perceive to be most helpful and the overall effect
of adaptation on achieving information seeking goals...
Romano, N., Roussinov, D., Nunamaker, J., and Chen, H.,
"Collaborative Information Retrieval Environment:
Integration of Information Retrieval with Group Support Systems",
Proceedings of Thirty-Second Annual Hawaii International Conference
On System Sciences, January 5 - 8, 1999, Island of Maui.
Our paper describes how user
experiences with IR and GSS systems has shed light onto a promising new area of
collaborative research and led to the development of a prototype that merges
the two paradigms into a Collaborative Information Retrieval Environment (CIRE).
Roussinov, D. and Chen H.,
"A Scalable
Self-organizing Map Algorithm for Textual Classification: A Neural Network
Approach to Thesaurus Generation", in Communication
and Cognition -- Artificial Intelligence, 15 (1-2), 1998, pp.
81-112.
This paper presents research
in which we sought to develop a scaleable textual classification and
categorization system based on the Kohonen's self-organizing feature map (SOM)
algorithm. Our proposed data structure and algorithm took advantage of the
sparseness of coordinates in the document input vectors and reduced the SOM
computational complexity by several order of magnitude.
Roussinov, D. and Ramsey
M., "Information Forage through Adaptive Visualization", Proceedings of The Third ACM Conference on Digital Libraries, pp. 303-304,June 23-26, 1998,
We report
our research on leveraging navigation by providing interactively the ability to
modify the maps themselves. We have created and tested a prototype system that
builds and refines in real-time a map of concepts found in Web documents
returned by a commercial search engine.
Teaching at
ASU
Current
CIS591.
Enterprise Systems Integration. |
Past
CIS420. Business Database Concepts. |
Past (non ASU) Teaching
Databases
Information Systems Analysis
Advanced Object Oriented Programming in Visual C++ and Java
Data Structures and Algorithms
Professional (non Academic) Experience
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1988 – 1995, 6+ years of
R&D, Analysis and Design, Algorithms, C++, Pascal, Fortran,
Java, VB, 80x86 Assembly Languages |
