=Paper= {{Paper |id=None |storemode=property |title=None |pdfUrl=https://ceur-ws.org/Vol-629/psd2010_preface.pdf |volume=Vol-629 }} ==None== https://ceur-ws.org/Vol-629/psd2010_preface.pdf
                                   Preface


Welcome to the first workshop on Personal Semantic Data (PSD2010), part of
the 17th International Conference on Knowledge Engineering and Knowledge
Management (EKAW2010)!
    Personal information management (PIM) is an active area of interest for re-
search and industry alike. While our time and energy resources remain constant,
the amount of information that needs our attention grows exponentially with
the advances in communications and information sharing tools.
    The tools that we use to manage our personal information have evolved over
time from the pen and paper day planners to their numerous digital replace-
ments. The desktop used to be at the centre of the users’ PIM universe, con-
taining their contacts, emails, events, appointments, and to-do lists. However,
as the amount of stored information and the number of applications available
to handle it grew, desktop data became harder and harder to manage, as it was
locked-in by applications and stored in application-specific formats. The Seman-
tic Desktop is the result of applying Semantic Web technologies to the desktop,
to better interlink personal data and make it easier to search, browse and or-
ganise. It lifted the data from the application silos and non-standard formats to
a standard RDF-based representation, described using commonly agreed-upon
ontologies.
    Nowadays, the transition is made more and more towards mobile devices, the
majority of which have Internet connectivity. This has lead to an increasing share
of information, like calendar and email, being stored on users’ various devices or
in the cloud, because of hardware limitations like storage and processing power.
Also, applications such as Chrome OS, Google Documents, or MS Office Live en-
able users to store personal documents in the Cloud, while many social relations
are managed through social Web sites like Facebook, MySpace or Bebo. In par-
allel, the Semantic Web has gained considerable momentum, especially through
initiatives like Linking Open Data, that have generated a vast amount of struc-
tured data available on the Web. Furthermore, projects like FOAF and SIOC
have enabled the publication of machine-readable information about people and
their social interactions.
    As more online services and applications become available to users and gain
popularity, the boundaries between the desktop and the Web become less dis-
cernible. The desktop is no longer the single access point to personal information,
but one of many personal information sources. Consequently, personal informa-
tion is becoming more fragmented across multiple devices, requiring extra effort
to synchronize, duplicate, search and browse. We believe that semantic technolo-
gies can improve significantly the user’s experience and relieve some of the stress
associated with managing disparate information.
    Personal semantic data is scattered over several media, and while seman-
tic technologies are already successfully deployed on the Web as well as on the
desktop, data integration is not always straightforward. The transition from the
desktop to a distributed system for PIM raises new challenges, which represent
the subject of this workshop. Related research is being conducted in several
disciplines like human-computer interaction, privacy and security, information
extraction and matching. Through this workshop we would like to enable cross-
domain collaborations to further advance the use of technologies from the Se-
mantic Web and the Web of Data for Personal Information Management, and
to explore and discuss approaches for improving PIM through the use of vast
amounts of (semantic) information available online. In turn, this workshop is of
interest to researchers in the areas of PIM, Linked Data, Web Sciences, Social
Collaboration, and more.
    We wish to thank all the authors of submitted papers and to the members
of the program committee.




October 2010                                                     The organizers
Organization Committee
Laura Drăgan :
   Affiliation: Digital Enterprise Research Institute (DERI), National Univer-
   sity of Ireland, Galway
   Email: laura.dragan@deri.org
   Web page: http://www.deri.ie/about/team/member/laura_dragan/

Bernhard Schandl :
   Affiliation: Department of Distributed and Multimedia Systems, University
   of Vienna, Austria
   Email: bernhard.schandl@univie.ac.at
   Web page: http://www.cs.univie.ac.at/bernhard.schandl

Charlie Abela :
  Affiliation: Department of Intelligent Computer Systems (ICS), University
  of Malta, Malta
  Email: charlie.abela@um.edu.mt
  Web page: http://staff.um.edu.mt/cabe2/

Tudor Groza :
   Affiliation: Digital Enterprise Research Institute (DERI), National Univer-
   sity of Ireland, Galway
   Email: tudor.groza@deri.org
   Web page: http://www.tudorgroza.org

Gunnar Aastrand Grimnes :
  Affiliation: DFKI GmbH, Germany
  Email: gunnar.grimnes@dfki.de
  Web page: http://www.dfki.uni-kl.de/~grimnes/

Prof. Stefan Decker :
   Affiliation: Digital Enterprise Research Institute (DERI), National Univer-
   sity of Ireland, Galway
   Email: stefan.decker@deri.org
   Web page: http://www.stefandecker.org
Program Committee
Diego Berrueta, CTIC Foundation, Gijon, Spain
Dan Brickley, FOAF Project, UK
François Bry, Ludwig-Maximilian University Munich, Germany
Jerome Euzenat, INRIA Grenoble Rhone-Alpes, France
Fabien Gandon, INRIA Sophia-Antipolis, France
Harry Halpin, University of Edinburgh, UK
Nicola Henze, Leibniz University Hannover, Germany
Robert Jaeschke, University of Kassel, Germany
William Jones, The Information School, University of Washington, USA
Malte Kiesel, DFKI GmbH, Germany
Stéphane Laurière, Mandriva, France
Knud Möller, Digital Enterprise Research Institute (DERI), Galway, Ireland
Paola Monachesi, Utrecht University, Utrecht, The Netherlands
Daniel Olmedilla, Telefonica R & D, Spain
Gerald Reif, University of Zurich, Department of Informatics, Switzerland
Leo Sauermann, gnowsis.com, Vienna, Austria
Sven Schwarz, DFKI GmbH, Germany
Chris Staff, Department of Intelligent Computer Systems, University of Malta
Diman Todorov, Knowledge Engineering Systems Group, Cardiff University, UK
Mischa Tuffield, Garlik, UK
Claudia Wagner, TU Graz, Austria
Stefan Zander, Department of Distributed and Multimedia Systems, University
of Vienna, Austria




    Copyright remains with the authors, and permission to reproduce material
printed here should be sought from them. Similarly, pursuing copyright infringe-
ments, plagiarism, etc. remains the responsibility of authors.
                                  Table of Contents



Keynote
Making Sense of Users’ Web Activity . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .     1
  Mathieu D’Aquin

Full Papers
Managing Personal Information by Automatic Titling of E-mails . . . . . . . .                           2
  Cédric Lopez, Violaine Prince, Mathieu Roche
SemChat: Extracting Personal Information from Chat Conversations . . . .                                14
   Keith Cortis, Charlie Abela

Ad-hoc File Sharing Using Linked Data Technologies . . . . . . . . . . . . . . . . . .                  26
   Niko Popitsch, Bernhard Schandl
Towards a Simple Textual Trace Based Personal Exo-Memory . . . . . . . . . .                            38
   Pierre Deransart

Short Paper
LinksTo - A Web2.0 System that Utilises Linked Data Principles to
Link Related Resources Together . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .   50
   Owen Sacco, Matthew Montebello