Skip navigation.
Home
Semantic Software Lab
Concordia University
Montréal, Canada

The 37th Annual International Computer Software and Applications Conference (COMPSAC 2013), Kyoto, Japan

Printer-friendly versionPrinter-friendly versionPDF versionPDF version
2013-07-22
2013-07-26
Japan

The 37th Annual International Computer Software
and Applications Conference (COMPSAC 2013)
http://www.compsac.org/
Kyoto, Japan, 22-26 July 2013
Sponsored by IEEE and the IEEE Computer Society

ABOUT COMPSAC

COMPSAC is the IEEE Signature Conference on Computers, Software, and
Applications. It is a major international forum for academia,
industry, and government to discuss research results and
advancements, emerging problems, and future trends in computer and
software technologies and applications. The technical program
includes keynote addresses, research papers, industrial case
studies, plenary and specialized panels, fast abstracts, a doctoral
symposium, poster sessions, and a number of workshops on emerging
and important topics.

COMPSAC 2013 THEME

The theme of the 37th COMPSAC conference is "The Expanding Sphere of
Software and Data." The emergence and increasing importance of
digital society, cyber- physical systems, and semantic, pervasive,
and mobile computing are expanding the role of software and
applications. Associated with these paradigms are instruments,
sensors, and a multitude of applications that generate and require
analysis of massive volumes of diverse, complex, and distributed
data. Knowledge, tools, practices, and infrastructures related to
software and data have begun to evolve to cover this expanding
sphere, while addressing grand challenges brought about by the
complexities and uncertainties of the physical world and the
heterogeneity and massive scale of the cyber infrastructure and the
data it produces and requires. Beyond the core emphasis areas of
the conference, COMPSAC 2013 will provide additional tracks, special
sessions, panels, and keynotes in order to facilitate discourse on
and deepen the understanding of these challenges by furthering the
fundamental contributions needed for advances in software and
breakthroughs in big data analytics.