Application of Semantic Knowledge Management System in Selected Areas of Polish Public Administration

Semantics
Application of Semantic Knowledge Management System
in Selected Areas of Polish Public Administration
Zastosowanie semantycznego systemu zarządzania wiedzą
w wybranych obszarach polskiej administracji publicznej

Anna Wróblewska, PhD 1,2
Aleksandra Zięba, PhD 1,3
Renata Mieńkowska – Norkiene, PhD 1,3
Paweł Kapłański 1
Paweł Zarzycki 1

1 Cognitum
2 Institute of Computer Science,

Warsaw University of Technology
3 Institute of Political Science,
www.cognitum.eu/semantics Cognitum | Semantics
University of Warsaw

Semantic Knowledge Management
System – general view (1)

• Information systems “developed to support and enhance the
organizational knowledge processes of knowledge
creation, storage, retrieval, transfer, and application”

• Semantic technologies:
– represents static knowledge about a particular domain of
interest
– sharing knowledge and common understanding
– unambiguous communication between various beings
– supports human-computer interactions

Semantic Knowledge Management
System – general view (2)

• Controlled Natural Language interfaces
– subsets of natural languages - restricting the grammar
and vocabulary
– reduce or eliminate ambiguity and complexity
– improve readability for human readers
– enable reliable automatic semantic analysis of the
language


Agenda

• Application problems: crisis management (CM), UE
policy coordination processes

• CM meta-model & usecase

• Solutions:
– Ontorion – Semantic Knowledge Management Framework
– FluentEditor - controlled natural language interface with
description logics and OWL


Problems Addressed – Crisis
Management (CM)
• Activity of public administration, a part of national security
management
• Dealing with the strategic organizational management
processes (an integrated rescue system)

Respond Restore

Crises

Prepare Prevent

CM Characteristics

• Clearly defined organizational structure
• Legislative issues and documentation
• Different kinds of information: time (information
can vary in time), space
• Different requirements to information
accessibility & presentation (by different actors)
• Rescue actions: time pressure, usually lack of
necessary resources

Model of organization and emergency notification

national Government
Minister of
GCS the Interior
GCMT
voivodeships

VCMC Governor
VCMT

counties
County
PCMC Governor
PCMT

Mayor
GCMT

municipalities


Key problems

• Fact: All communes/structures will face
emergencies
• Weakness: we are more reliant on technology,
communication and transportation
• Cause: We are more adversely affected by
natural disasters
• Need: of specialist knowledge (definitions of
problems, consultations among actors)
• Lack: of common understanding of CM process


Two Kinds of Knowledge

Meta-ontology Ontology / Fact-base

- General - Geo & topological
knowledge derived information, location
from legislative of rescue units, etc.
issues, procedures, - Communication via
disasters etc. graphical language,
- Communication e.g. maps, building
via CNL plans etc. (advanced
- Actors: GIS system)
management - Rescue actors
experts


CM – what knowledge needs to be
managed?
• What procedures need to be applied?
• What actions/tasks are undertaken within the
process?
• What actors are involved in certain actions (actors’
dependencies, division of responsibilities) ?
• Geo related issues:
– What is the location of the emergency or crisis event?
– Where are the rescue teams during crisis events?
– What environmental factors influence the course of crisis
events?
– Where to find shelter during the crisis event?


CM Meta – Ontology (1)
Concepts Captured

Treatment system
Communication &
Infrastructure coordination
(resources) (actors,
procedures, tasks)
Crisis characterization Studied world

Crisis events, Environment
effects, risks, (people, natural
dangers sites, goods)

CM Meta-Ontology (2)

• Organizational structure: roles (actors and units) and their
relationships
• Responsibilities of actors for certain tasks in a particular
situation
• Alerts about crisis situations and dangers
• Information about crisis events, effects, risks and dangers
• Activities / Procedures that are performed in specific situations
during prevention, preparation, response to crisis and recovery
• Resources, devices and equipment useful for performing rescue
actions


CM Meta-Model (3)


CM Meta-Ontology (4)


CM Use Case – Tanker Accident

A tanker truck (containing
unknown toxic substance)
had an accident. Several
children of the near
kindergarten (outside
when the accident
happened) feel sick.

• What are the dangers?
• What services we need
to call?


CNL - SWRL rules

If Z is an actor and if a crisis has-type a crisis-type
and if Z reacts-to-type the crisis-type then the crisis
needs-actor Z.

If Z is an actor and if an effect causes a danger and if a
crisis induces the effect and if Z assumes a procedure and
if the procedure reduces the danger then the crisis needs-
actor Z.

If Z is an actor and if an effect concerns a people-group
and if a crisis induces the effect and if it is true that
the people-group has-victims and if Z is Emergency-
Medical-Service then the crisis needs-actor Z.


Reasoned Conclusions

CNL results:


noSQL implementation


CNL expert interface


CNL user interface


Performed Tasks & Future Works

• English CNL for OWL - done
• Working on SWRL rules in CNL
• GIS & meta knowledge integration
• Collecting crisis management procedures to be
coded in CNL
• Working on CNL for Polish
• Working on CNL dedicated for other disciplines:
– UE policy coordination process on national level,
– oncology medical guidelines


Contact

Thank you

Cognitum | PL, Warsaw
office@cognitum.eu
+48 22 250 2541
www.cognitum.eu

abroad sales representatives:

Cognitum | CH, St. Gallen Cognitum | UK, Bristol
swiss-office@cognitum.eu uk-office@cognitum.eu


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