[[[ Apologies for multiple copies of this message ]]] (01)
Three PhD Positions Available (02)
Data and Knowledge Management Unit
Fondazione Bruno Kessler - IRST
Trento, Italy (03)
Deadline: March 16th, 2011, 13:00 (GTM+1) (04)
NOTE THAT AN APPLICATION THROUGH THE UNIVERSITY OF TRENTO WEBSITE IS
REQUIRED.
See http://ict.unitn.it/application for more details. (05)
The Data and Knowledge Management (DKM) research unit
(http://dkm.fbk.eu<http://dkm.fbk.eu/>) of the Bruno Kessler Foundation (FBK),
Trento,
Italy, is seeking candidates for 3 Ph.D positions. (06)
The Ph.D. studies will be held at the International Doctorate School in
Information and Communication Technologies
(http://www.ict.unitn.it/) of the University of Trento, Italy. (07)
The research activities will focus on following topics: (08)
COMBINING ONTOLOGICAL AND PROCESS-BASED REASONING (09)
[This position is jointly supervised by FBK and the ISTC-CNR, Laboratory for
Applied Ontology, Trento.] Semantic (010)
Business Process Management has the main objective of improving the level of
automation in the specification,
implementation, execution, and monitoring of business processes by extending
business process management tools with the
most significant results from the area of Semantic Web. For instance, when the
focus is on process modeling, i.e. the
activity of specification of business processes at an abstract level,
annotating process descriptions with labels taken
from a set of domain ontologies can provide additional support to the phase of
business analysis, or to the creation of
valid process diagrams, which not only comply with the basic requirements of
the process semantics, but also satisfy
properties that take into account the domain specific semantics of the labels
of the different process elements. The
ability to provide good Semantic Business Process Management services poses
strong scientific challenges as it requires
an integrated usage of formalisms for the representation and execution of
business processes together with those used to
represent ontologies and business domains, which traditionally have been
developed and investigated in separate research
areas. The aim of this thesis is to investigate how we can combine logical
formalisms for process and domain knowledge
to enhance the quality of Semantic Business Process Management. The thesis will
investigate (i) the definition of new
theoretical paradigms as well as the extension of existing ones, (ii) the
development of reasoning services on top of
these theoretical paradigms and (iii) the tailoring these reasoning services to
scenarios taken from Business Process
Design and Service Provisioning, Integration and Composition. (011)
Skills required: good knowledge of logic and knowledge representation;
reasonable knowledge of software engineering and
conceptual modelling. (012)
Contact person: Chiara Ghidini <ghidini@xxxxxx<mailto:ghidini@xxxxxx>> (013)
MIXING LOGICAL AND STATISTICAL REASONING (014)
Humans solve the problems of interpreting multimedia documentation by both
exploiting structural regularities in the
data, as well as making use of common sense and specialized knowledge that
explicitly represents the meaning of data. In
spite of this simple observation, current approaches to processing content over
the Internet are based either on a
statistical approach, which exploits the regularities of the content encoded in
a statistical model (using machine
learning methodologies), or, alternatively, by logical approaches, by
exploiting logical knowledge encoded via logical
theories (semantic web and ontologies). In both cases this unilateral approach
leads to a limitation in the performance
or in the quality of the results. We believe that combining statistical
knowledge with logical knowledge in a unique
system would improve the efficiency and the effectiveness of content management
applications. The Copilosk project at
FBK aims at investigating how statistical and logical knowledge can be combined
and exploited in content and knowledge
management, by proposing or extending a theoretical paradigm, test it in three
use cases in the area of machine
translation, knowledge extraction from text, and image object recognition, and
in case of positive results applying it
to a real case scenario. For more information about the copilosk project please
visit copilosk web site
http://copilosk.fbk.eu<http://copilosk.fbk.eu/>. The Ph.D will be qdeveloped
in collaboration with Telecom Italia (015)
Contact person: Luciano Serafini serafini@xxxxxx<mailto:serafini@xxxxxx> (016)
STRUCTURED DATA INDEXING AND RETRIEVAL (017)
Topics of this grant are the ontological (i.e. formal) description and
reasoning of knowledge according to standards
developed by the Semantic Web community combined with machine learning
approaches such as graphical models or
regularization methods. Innovative research will be addressed for
context-driven reasoning and indexing and will be
jointly carried out with existing multimedia analysis (e.g. image recognition,
speech analysis, etc.) in some augmented
reality scenarios. This research will be developed in collaboration with
Telecom Italia. (018)
Contact person: Luciano Serafini serafini@xxxxxx<mailto:serafini@xxxxxx> (019)
Candidate Profile
================= (020)
The ideal candidate should have an MS or equivalent degree in computer science,
mathematics or electronic engineering, phisics and philosophy, and combine
solid theoretical background and software development skills. (021)
The candidate should be able to work in a collaborative environment, with a
strong commitment to reaching research excellence and achieving assigned
objectives. (022)
Applications and Inquiries
========================== (023)
Interested candidates should inquire for further information and/or apply by
sending email to serafini<at>fbk.eu or ghidini<at>fbk.eu (024)
Applications should contain a statement of interest, with a Curriculum Vitae,
and three reference persons. PDF format is strongly encouraged. (025)
NOTE THAT AN APPLICATION THROUGH THE UNIVERSITY OF TRENTO WEBSITE IS REQUIRED.
See http://ict.unitn.it/application for more details. THE DEADLINE FOR THE
APPLICATION IS March 16th, 2011, 13:00 (GTM+1). (026)
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