The Application Environment is concerned with the various ubiquitous computing
environments from a knowledge discovery point of view. It will systematically
collect application scenarios for knowledge discovery in these areas, building
on results from current research projects and roadmaps such as the ISTAG grand
challenges paper; identify opportunities, challenges and risk in the various
areas; match applications to the technological challenges (distributed
technologies, learning components, data types, security & privacy, HCI);
interface with the various ubiquitous computing communities; consolidate
research area group meeting results, surveys and blueprint editing activities
in a chapter for the KDubiq blueprint.
Ubiquitous Technologies surveys systematically existing and emerging
solutions for distributed handling of data and computation. The various
architectural options form the technological basis for a ubiquitous discovery
system. Ubiquitous Technologies will: survey results from past and ongoing
projects, match technologies to applications, identify research challenges and
opportunities, contribute to the blueprint.
This Working Group deals with algorithmic issues at the heart of machine
learning and knowledge discovery. One objective is to provide a coherent
perspective on resource constrained algorithms that are fundamentally designed
to handle limited bandwidth, limited computing and storage capabilities,
limited battery power, and specific network-communication protocols.
The purpose of this WG ist to investigate about the possible data types for an ubiquitous KDubiq system and how do we
handle the data interaction and collection?
This WG4 will: provide an overview on the heterogeneous data types relevant
for ubiquitous, knowledge discovery, summarize the state-of-the-art in the
various sub areas, identify areas of overlap and cross-fertilization, asses the various methods in cross area activities in the light of the design constraints posed by mobile systems (WG1) and the various distributed architectures.
WG5 will analyse the possible security and privacy preserving issues that we have to
solve while designing our KDubiq system? This WG will: identify relevant
privacy and security issues and report on the state of the art, gather results
from related disciplines such as statistical disclosure control, have the role
of promoter of awareness with the respect the privacy issue, in order to
constantly compare the new invented technologies with such requirements, search
collaboration with authorities and organizations addressing privacy and
security.
The WG6 try to investigate the Human-Computer-Interfaces and device
related-issues that have to be solved for our correspondent application.
HCI provides a unifying perspective for the different roles the concept of
intelligence (as the prime requisite for knowledge discovery) plays in
ubiquitous knowledge discovery , i.e.: on the application side (e.g. knowledge
bases, computational intelligence and information retrieval), within
intelligent user interfaces (as in agents/avatars within virtual worlds), on the part of the human user (cognition).
From a Knowledge Discovery point of view, important human-computer
interaction issues are: Collaborative problem solving and DDM,
e.g. collaborative filtering, Alternate human-computer interfaces for DDM
programs that allow non-intrusive pervasive interactions, Privacy and social impact from integration of the DDM technology with daily life, to provide effective visual data mining tools for small devices and for quick use.