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Our work focus on supporting situation assessment for a joint
group of military mission planners. In their work, mission planners
work with a vast array of different tools and data sources. They
communicate via radio, electronic messaging, e-mail and
documents. They manage geographical information through specialized
GIS systems and access sensor equipment through yet other
systems. In all, this environment puts high demands on commanders
and their information processing abilities.
Semantic desktops present users with a coherent view of their
information based on concepts from their work context rather than the
metaphors dictated by the desktop environment. For example, a user may
select to view all people he or she has any connection to, which may
include co-authors of documents, contacts in instant messaging
programs and e-mail recipients, all in a unified view. The semantic
desktop vision also includes a vision of common access to all semantic
information used by a group of people, so that all mission commanders
in a group should have shared access to information about what others
Currently, we are working with a Semantic Desktop environment
called OpenIRIS which enables
users to reason about and relate concepts in their work environment
while preserving as much as possible of their natural tools and
Managing communications effectively is imperative for efficient staff
work. With the help of a semantic desktop that collects information
about events such as incoming or outgoing e-mail, we have created a
tool to visually present and analyze communications within a staff
environment. The demo below shows how the communication between a
student, a supervisor and an examiner follow the prescribed workflow
of an undergraduate thesis project. The transitions between different
states in the work flow are recognized by e-mails sent between the
We accept undergraduate students who are willing to work on projects
as a part of their undergraduate education or as degree projects.
The topics listed below are those we are primarily interested in, with
a rating in parenthesis indicating the estimated difficulty:
- (2) Implementation of Open Document support for the natural
language processing tool GATE,
to facilitate the analysis of the contents of OpenOffice documents.
- (3) Implementation of a two-way mapping between the marker
position of an OpenOffice windows and the corresponding position of
the document file. This mapping should be used to create a tool for
defining semantic domain entities in documents by marking regions of
an open document.
- (1) Integration of Google Maps in the OpenIRIS semantic desktop
environment so that map-related ontology information can be
displayed with Google Maps markers.
- (2) Visualization of communication between members of staff by
creating an OpenIRIS plugin that acts on events corresponding to
receiving and sending e-mail messages.
We offer theses for Masters students who have a strong technical
interest, and a solid understanding of programming in larger
projects. If you have successfully completed one of our advanced
programming courses such as TDDB69 or TDDD27, you probably have what it takes. For a
more detailed overview of our research field and research questions,
see the thesis description overview.
A workflow critiquing application for OpenIRIS
The IRIS Semantic Desktop environment keeps track of a number of
applications and the data produced in them. This information can be
used to produce visual presentations of data, to merge different data
sources and present relationships between data in a general
sense. Until now, however, the data gathered has not been used to give
directed feedback and support on the work of users. In this project,
you will create an addition to the OpenIRIS environment in which users
can describe their expected work flow in terms of what people are
responsible for what information, who should produce certain
documentation and what people need information. Based on this work
flow description, the tool should be able to perform an analysis on
the work performed by a single user or a groups of users and determine
of the prescribed work process is followed.
An important part of creating a domain-specific Semantic Desktop
application is the possibility to define the context of the
domain. The context is in turn defined by the vernacular used, the
structure of documents and messages, and the established work
process. By providing users with a means of specifying their work
context in a unified manner, a Semantic Desktop environment can become
a much more potent support. This thesis focuses on how to model and
describe semantic entities described by either structure or content as
an end-user. Describing these entities also involves establishing a
connection between item occurrences in messages or documents and
classes in the IRIS knowledge base.
Ola Leifler and Henrik Eriksson.
Domain-specific knowledge management in a semantic desktop.
In Proceedings of I-KNOW '09, The International Conference on
Knowledge Management, 9 2009.
[ bib ]
Semantic Desktops hold promise to provide intelligent information-management en- vironments that can respond to users' needs. A critical requirement for creating such environ- ments is that the underlying ontology reflects the context of work properly. For specialized work domains where people deal with rich information sources in a context-specific manner, there may be a significant amount of domain-specific information available in text documents, emails and other domain-dependent data sources. We propose that this can be exploited to great effect in a Semantic Desktop to provide much more effective knowledge management. In this paper, we present extensions to an existing semantic desktop through content- and structure-based informa- tion extraction, domain-specific ontological extensions as well as visualization of semantic enti- ties. Our extensions are justified by needs in strategic decision making, where domain-specific, well-structured knowledge is available in documents and communications but scattered across the desktop. The consistent and efficient use of these resources by a group of co-workers is crit- ical to success. With a domain-aware semantic desktop, we argue that decision makers will have a much better chance of successful sense making in strategic decision making.
Keywords: semantic desktop, knowledge management, domain-specific ontology
Ola Leifler and Henrik Eriksson.
A model for document processing in semantic desktop systems.
In Proceedings of I-KNOW '08, The International Conference on
Knowledge Management, 9 2008.
[ bib ]
Keywords: knowledge management, information extraction, semantic desktop, command and control
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