Semantic-based Groupware System for SAKE

1
Semantic-based Groupware System for SAKE

• Peter Butka, Ján Hreno
• TU Košice

2
Outline

• Introduction, Objectives and Research context
• SAKE architecture overview
• Groupware system
• Conclusions

3
Research Context

• SAKE IST Project Semantic-enabled Agile
  Knowledge-based e-Government
• Started in March 2006
• 3 years, STREP
• 11 partners (all pilots from New Members States)
• The approach is primarily focused on the New
  Member States
• Frequent changes are expected
• European integration has paved the way for new
  legislation and regulations

4
Consortium

• Coordinator
• PLANET S.A., Greece
• Technological partners
• FZI, Research Center for Information Technologies
  at the University of Karlsruhe, Germany
• ICCS, Institute of Communication and Computer
  Systems, National Technical University of Athens
  NTUA, Greece
• COI, Cities on Internet, Poland
• TUK, Technical University of Kosice, Slovakia
• BCE, Budapest Corvinus University, Hungary
• SYNERGON, Synergon Information Systems plc,
  Hungary
• UPRC, University of Piraeus Research Center,
  Greece
• Pilots
• UMC, Urzad Miasta Czestochowy, Poland
• MIT, Ministry of Informatics and Communication,
  Hungary
• LATA, Mestska cast Kosice Sidlisko Tahanovce,
  Slovakia

5
Introduction

• Streamlining of the PA processes has to be based
  on the rationalization of the back office
• Knowledge in public administrations is subject to
  continual change, due to
• changes on the environment
• deployment of e-gov systems
• unpredictable requests
• Knowledge can be localised or even personal and
  difficult to share
• it is not necessarily available anywhere, anytime
  for anybody
• a lot of wheel reinventing is taking place

6
Main Goals

• Allows New Member States Public Authorities (PAs)
  to
• Accommodate continual change in knowledge
• Smoothly adapt their back offices in accordance
  with the European (and national) legislation
• Improve the quality of their decision making
  process
• How this can be reached?
• Introducing semantic technologies in the back
  office
• Representing explicitly the tacit knowledge
• Created, developed and distributed in processes
  of human interaction
• Make localized and personal knowledge accessible
  anywhere, anytime to anybody
• Allowing consistent change propagation

7
Current situation As-Is
Desirable situation To-Be
8
As-Is vs. To-Be situation

• Demands for knowledge-based e-gov are high due to
  the (As-Is)
• Increased granularity and manifold semantic
  differences in informational resources
• Complexity of the decision making processes
• Need for conversion of tacit knowledge to
  explicit knowledge
• Need for a systematic change management
• SAKE provides a framework for an agile
  knowledge-based e-government, based on (To-Be)
• An integrated knowledge space, instead of a set
  of isolated and heterogeneous knowledge resources
• A collaborative working environment, instead of a
  single person decision making process
• A change management system, instead of ad-hoc
  management of changes
• A platform for proactive delivery of knowledge,
  instead of an one-way knowledge access

9
SAKE Architecture Change Management System

• Semantic-based Change Management ensures the
  quality of the knowledge update (reediting)
  process by
• developing a change management process that will
  enable the consistent propagation of changes to
  each knowledge stakeholder in order to ensure the
  quality of the decision making process
• formal and explicit modelling of the changes in
  public regulations and their relations to the
  depending artefacts in the form of the Change
  Ontology, which will serve as the backbone of the
  change management approach
• developing methods and tools for verification of
  an existing knowledge repository in order to make
  it easier to understand and cheaper to manage
  without any loss of information content
• developing methods and tools for simulation in
  order to illustrate, in an animate manner, the
  impact of simulated changes or decisions related
  to the administrative processes

10
SAKE Architecture Content Management System

• Semantic-based content management system
  enables efficient provision of knowledge in the
  context of a PA process by
• semi-automatic population of the Domain Ontology
  by using Text Mining methods (Ontology Learning)
• developing methods and tools for ontology-based
  tagging of (i) the content of a knowledge item,
  (ii) usage of an item and (iii) the relations
  between particular items
• developing methods and tools for realizing
  context-aware searching for virtual content
• developing methods and tools for editorial
  process, to satisfy the knowledge items
  evaluation requirements

11
SAKE Architecture Groupware System

• Semantic-based Groupware system supports more
  efficient knowledge sharing by developing
• methods and tools for ontology-based tagging the
  interaction between public administrators
• methods and tools for enabling building community
  of practice from interaction log and their
  specific vocabularies by social tagging
• methods and tools for collaborative knowledge
  creation
• methods and tools for pushing of knowledge and
  for searching for experts
• Main Development Testing
• TUK
• LATA - pilot

12
SAKE Architecture
13
Collaboration-oriented General Scenarios

• Finding an expert
• Searching for proper PAs with expert information
  about actual case
• Defining an expert
• Creating/Updating of profiles some person can
  be marked as very useful to solve this problem
• Storing an interesting communication
• Communication between PAs about actual case is
  automatically (annotated and) stored -gt logging
  -gt then some knowledge can be identified and
  propagated by Change Management System
• Building/Analysing Communities of Practice (CoP)
• Semantic-based coordination of work and
  communication in CoP

14
Basic modules

• Group and workspace management
• Creates new groups according to given tasks or
  processes
• Changes groups during their lifetime according to
  the changes in the PA profiles or Task definition
• Extract knowledge from failure of communication
• Communication tools
• Set of tools enabling users to communicate in
  needed form
• Communication analysis tool
• Extract knowledge from successful communication
• Public administrator profile management
• PA profiles in form of concepts from PA ontology
• Helps to find proper PA for proper task

15
Groupware

• Communication features
• Asynchronous
• Synchronous
• Collaboration features
• Shared Workspaces file, application and desktop
  sharing, collaborative editing
• Coordination and time management calendar,
  meeting and event scheduling
• Event notification functionality
• Logging of all activities and auditing
  functionality
• Searching for other members (e.g. expert)

16
Conclusions

• There are knowledge intensive PA processes
  where changes occur frequently
• CMS and GWS can be two of the main sources of
  explicit and tacit knowledge
• Individual systems can take advantage of KM
  technologies
• GWS
• Design of architecture according to SAKE/pilots
  needs
• Re-use and customization of open-source groupware
  project
• Implementation of basic functionality first, next
  additional semantic features will be implemented
• Actual state?

17
Thank you for your Attention