Semantic-based Groupware System for SAKE - PowerPoint PPT Presentation

About This Presentation
Title:

Semantic-based Groupware System for SAKE

Description:

SAKE IST Project 'Semantic-enabled Agile Knowledge-based e-Government' ... SAKE provides a framework for an agile knowledge-based e-government, based on (To-Be) ... – PowerPoint PPT presentation

Number of Views:163
Avg rating:3.0/5.0
Slides: 18
Provided by: Gue22
Category:

less

Transcript and Presenter's Notes

Title: 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
Write a Comment
User Comments (0)
About PowerShow.com