=Paper= {{Paper |id=Vol-1223/preface |storemode=property |title=None |pdfUrl=https://ceur-ws.org/Vol-1223/preface.pdf |volume=Vol-1223 }} ==None== https://ceur-ws.org/Vol-1223/preface.pdf
Dmitry Mouromtsev, Cyril Pchenichniy, Dmitry I. Ignatov (Eds.)




MSEPS 2013 – Modeling States, Events, Processes and Scenarios
Workshop associated with the 20th International Conference on Conceptual Structures
(ICCS 2013)
January 12, 2013, Mumbai, India




                                         i
Volume Editors



Dmitry Mouromtsev
National Research University of Information Technologies, Mechanics and Optics, Saint
Petersburg, Russia



Cyril Pchenichniy
Intellectual Systems Laboratory
National Research University of Information Technologies, Mechanics and Optics, Saint
Petersburg, Russia



Dmitry I. Ignatov
Department of Data Analysis and Artificial Intelligence
National Research University Higher School of Economics, Moscow, Russia




Printed in National Research University Higher School of Economics.



The proceedings are also published online on the CEUR-Workshop web site in a series
with ISSN 1613-0073.



Copyright c 2014 for the individual papers by papers’ authors, for the Volume by
the editors. All rights reserved. No part of this publication may be reproduced, stored
in a retrieval system, or transmitted, in any form or by any means without the prior
permission of the copyright owners.




                                          ii
                                      Preface


Human reasoning uses to distinguish things that do change and things do not. The lat-
ter are commonly expressed in the reasoning as objects, which may represent classes
or instances, and classes being further divided into concept types and relation types.
These became the main issue of knowledge engineering and have been well tractable
by computer. The former kind of things, meanwhile, inevitably evokes consideration not
only of a “thing-that-changes” but also of “change-of-a-thing” and thus claims that the
change itself be another entity that needs to be comprehended and handled. This special
entity, being treated from different perspectives as event, (changeable) state, transfor-
mation, process, scenario and the like, remains a controversial philosophical, linguistic
and scientific entity and has gained notably less systematic attention by knowledge en-
gineers than non-changing things.
    In particular, there is no clarity in how to express the change in knowledge engi-
neering — as some specific concept or relation type, as a statement, or proposition,
in which subject is related to predicate(s), or in another way. There seems to be an
agreement among the scientists that time has to be related, explicitly or implicitly, to
everything we regard as change — but the way it should be related, and whether this
should be exactly the time or some generic property or condition, is also an issue of
debate.
    To bring together the researchers who study representation of change in knowl-
edge engineering both in fundamental and applied aspects, a workshop on Modeling
States, Events, Processes and Scenarios (MSEPS 2013) was run on 12 January, 2013,
in the framework of the 20th International Conference on Conceptual Structures (ICCS
2013) in Mumbai, India. Seven submissions were selected for presentation that cover
major approaches to representation of the change and address such diverse domains of
knowledge as biology, geology, oceanography, physics, chemistry and also some mul-
tidisciplinary contexts.
    Concept maps of biological and other transformations were presented by Meena
Kharatmal and Nagarjuna Gadiradju. Their approach stems from conceptual graphs of
Sowa and represents the vision of change as a particular type of concept or, likely,
relation, defined by meaning rather than by formal properties.
    The work of Prima Gustiene and Remigijus Gustas follows a congenial approach
but develops a different notation for representation of the change based on specified
actor dependencies in application to business issues concerning privacy-related data.
    Nataly Zhukova, Oksana Smirnova and Dmitry I. Ignatov explore the structure of
oceanographic data in concern of opportunity of their representation by event ontologies
and conceptual graphs. Vladimir Anokhin and Biju Longhinos examine another Earth
science, geotectonics, and demonstrate that its long-lasting methodological problems
urge application of knowledge engineering methods, primarily engineering of knowl-
edge about events and processes. They suggest a draft of application strategy of knowl-
edge engineering in geotectonics and claim for a joint interdisciplinary effort in this
direction.

                                           iii
    Doji Lokku and Anuradha Alladi introduce a concept of “purposefulness” for any
human action and suggest a modeling approach based on it in the systems theory con-
text. In this approach, intellectual means for reaching a purpose are regarded either as
structure of a system, in which the purpose is achieved, or as a process that takes place
in this system. These means are exposed to different concerns of knowledge, which may
be either favorable or not to achieving the purpose. The resulting framework perhaps
can be described in a conceptual-graph-related way but is also obviously interpretable
as a statement-based pattern, more or less resembling the event bush (Pshenichny et al.,
2009).
    This binds all the aforementioned works with the last two contributions, which rep-
resent an approach based on understanding of the change as a succession of events
(including at least one event), the latter being expressed as a statement with one sub-
ject and finite number of predicates. The method of event bush that materializes this
approach, previously applied mostly in the geosciences, is demonstrated here in appli-
cation to physical modeling by Cyril Pshenichny, Roberto Carniel and Paolo Diviacco
and to chemical and experimental issues, by Cyril Pshenichny. The reported results and
their discussion form an agenda for future meetings, discussions and publications. This
agenda includes, though is not limited to,

 – logical tools for processes modeling,
 – visual notations for dynamic knowledge representation,
 – graph languages and graph semantics,
 – semantic science applications,
 – event-driven reasoning,
 – ontological modeling of events and time,
 – process mining,
 – modeling of events, states, processes and scenarios in particular domains and inter-
   disciplinary contexts.

    The workshop has marked the formation of a new sub-discipline in the knowledge
engineering, and future effort will be directed to consolidate its conceptual base and
transform the existing diversity of approaches to representation of the change into an
arsenal of complementary tools sharpened for various spectral regions of tasks in dif-
ferent domains.


January 12, 2013                                                  Dmitry Mouromtsev
Mumbai, India                                                       Cyril Pshenichny
                                                                    Dmitry I. Ignatov




                                           iv
                       Organization


Workshop Co-Chairs

Dmitry Mouromtsev     National Research University of Information Technolo-
                      gies, Mechanics and Optics, Saint Petersburg, Russia
Cyril Pchenichniy     National Research University of Information Technolo-
                      gies, Mechanics and Optics, Saint Petersburg, Russia

ICCS Workshop Chair

Dmitry I. Ignatov     National Research University Higher School of Eco-
                      nomics, Moscow, Russia

Proceedings Chair

Dmitry Ustalov        Krasovsky Institute of Mathematics and Mechanics of
                      UB RAS, Yekaterinburg, Russia

Program Committee

Paolo Diviacco        Istituto di Oceanografia i Geofisica Sperimentale, Italy
Tatiana Gavrilova     Saint Petersburg State University, Russia
Nagarjuna G.          Homi Bhabha Centre for Science Education, TIFR,
                      Mumbai, India
Xenia Naidenova       Research Centre of Saint Petersburg Military Academy,
                      Russia
Heather D. Pfeiffer   Akamai Physics, Inc., USA
Michael Piasecki      The City College of New York, USA
Jonas Poelmans        Kathoelike Universiteit Leuven, Belgium
Yuri Zagorulko        Ershov Institute of Informatics Systems (IIS), Siberian
                      Branch of the Russian Academy of Sciences, Russia




                                 v
Organizing Institutions
Homi Bhabha Centre for Science Education, Tata Institute of Fundamental Research,
Mumbai, India
National Research University of Information Technologies, Mechanics and Optics, Saint
Petersburg, Russia
National Research University Higher School of Economics, Moscow, Russia




                                         vi
                                              Table of Contents


Invited Papers

PurposeNet: A Knowledgebase Organized Around Purpose . . . . . . . . . . . . . . . . .                                          1
   Rajeev Sangal, Soma Paul and P. Kiran Mayee


Regular Papers
Static and Dynamic Knowledge Modeling in Geotectonics . . . . . . . . . . . . . . . . . .                                       21
    Vladimir Anokhin and Biju Longhinos

A Method for Data Minimization in Personal Information Sharing . . . . . . . . . . . .                                          33
   Prima Gustiene and Remigijus Gustas
Engineering of Knowledge Structures: Perspectives from Traditional
Disciplines and Systems Principles . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .                      45
   Doji Lokku and Anuradha Alladi

Engineering of Dynamic Knowledge in Exact Sciences: First Results of
Application of the Event Bush Method in Physics . . . . . . . . . . . . . . . . . . . . . . . . .                               60
   Cyril Pshenichny, Roberto Carniel and Paolo Diviacco
Adjustment of the Event Bush Method to Chemical and Related Technological
Tasks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .   74
   Cyril Pshenichny
Dynamic Information Model for Oceanographic Data Representation . . . . . . . . .                                               82
   Nataly Zhukova, Oksana Smirnova and Dmitry I. Ignatov
Author Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .          98




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