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Deception Detection
Deception detection has been a
long-standing concern of
law-enforcement agencies, employers,
military, business negotiation, and
individuals who are concerned about
information quality.
Computer-mediated communication
introduces new challenges to deception
detection research. By integrating
information technology and
traditional sociological theories and findings,
this line of research not only makes unique
contributions to deception
detection, computer-mediated
communication, and human computer
interaction research but also
creates new possibility for applying
and developing information
technologies.
The Semantic Web and Ontology
The Semantic Web will transform
the Web from a data and
communication space into a massive
knowledge and service repository. On
the one hand, the Semantic Web
requires the support of semantic
interoperability from ontology. On
the other hand, the Semantic Web
allows knowledge acquisition and
service request and delivery in an
unprecedentedly efficient way.
Group Communication
Collaboration or group work is a common phenomenon in modern organizations and businesses.
Although technologies or tools in support of group communication are widely available,
much remains to be known about group communication behavior,
including the impact of information technologies on it, its dynamics and patterns,
and its impact on the success of group work and even the entire communities.
Web Services and Service Composition
With the advent of service-oriented computing and the widespread application of Web technologies, the
Internet offers unprecedented opportunities to provide interoperable services to streamline supply chain, integrate intra-enterprise processes,
and manage customer relationships. Web services standards have been widely accepted. Nonetheless, they are mostly based on syntactic information
and are yet to support service discovery beyond keyword matching. Trust may play an indispensable role in selecting and composing services.
Natural Language Processing and Text Mining
Text mining and natural language processing characterize the majority of my technical approaches
to knowledge discovery and sharing. Understanding human language and discovering interesting information
and relationships from large amounts of text using computers are powerful techniques for automatically
discovering and acquiring knowledge from free-formed textual documents and semi-structured Web pages.
to pursue research questions.
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