LUISA Learning content management system Using Innovative Semantic web services Architecture - PowerPoint PPT Presentation

1 / 48
About This Presentation
Title:

LUISA Learning content management system Using Innovative Semantic web services Architecture

Description:

LUISA is a European Comission FP6 funded. Specific Targeted Research Project ... LUISA is a European Comission FP6 funded. Specific Targeted Research Project. 6 ... – PowerPoint PPT presentation

Number of Views:48
Avg rating:3.0/5.0
Slides: 49
Provided by: AtosO2
Category:

less

Transcript and Presenter's Notes

Title: LUISA Learning content management system Using Innovative Semantic web services Architecture


1
LUISALearning content management system Using
Innovative Semantic web services Architecture
  • Contact information
  • Nuria de Lama
  • nuria.delama_at_atosorigin.com
  • Atos ResearchInnovation
  • ATOS ORIGIN SPAIN

LUISA is a European Comission FP6 funded
Specific Targeted Research Project
www.luisa-project.eu
2
Index of Contents
  • Introducing LUISA
  • What is LUISA
  • Who is behind LUISA
  • Why LUISA
  • LUISA Overview
  • Outcomes
  • Objectives
  • Innovation and Benefits
  • Architecture
  • LUISA Workplan
  • Components and Work Packages
  • Milestones
  • Deliverables

3
Introducing LUISAWhat is LUISA
LUISA is a European Comission FP6 funded
Specific Targeted Research Project
www.luisa-project.eu
4
What is LUISA
  • LUISA (FP6-027149) is a European Comission FP6
    funded Specific Targeted Research Project
    (STREP).
  • LUISA started on March 1st, 2006 and finishes on
    June 30th, 2008.
  • The overall budget is roughly 4 million euro.

5
Introducing LUISAWho is behind LUISA
LUISA is a European Comission FP6 funded
Specific Targeted Research Project
www.luisa-project.eu
6
Who is behind LUISA
  • 7 partners from 5 European countries are
    involved in the project.
  •  

7
Who is behind LUISA
  • Within the 7 partners
  • 5 national EU states represented (Spain, U.K.,
    France, Italy, Sweden)
  • Presence of world-class expertise in all the
    major segments of the work
  • Semantic Web and Semantic Web Services
  • e-Learning, Learning Objects and Learning Content
    Management Systems
  • Industrial exploitation.
  • The composition of the Consortium guarantees
    that scientific, technological and development
    objectives of the project will be met 

8
Who is behind LUISA
  • The consortium includes
  • 2 internationally leading groups in RTD on
    Semantic Web Services
  • Open University, UK
  • ATOS Origin Spain
  • 2 leading groups in Semantic Web for the
    e-Learning
  • University of Uppsala, Sweden
  • University of Alcalá de Henares, Spain
  • The major european publisher of content GIUNTI,
    Italy.
  • 2 users
  • University Henri Poincaré, France it will
    participate in a case-study to evaluate LUISA
    tools in an academic environment testing the
    Semantic Web Services infrastructure within its
    own information global system
  • EADS, France it will lead the use case study on
    applying the LUISA infrastructure within an
    industrial e-training environment to solve
    learning needs of the employees.

9
Introducing LUISAWhy LUISA
LUISA is a European Comission FP6 funded
Specific Targeted Research Project
www.luisa-project.eu
10
Why LUISA
  • E-Learning
  • Lately, the interoperability of learning
    resources across different Learning Management
    Systems (LMS) and Learning Object Repositories
    (LOR) has considerably improved, thanks to the
    notion of learning objects as digital reusable
    pieces of learning activities and contents.

Learning Activity
Learning Content
Learning Management Systems
Learning Object Repositories
11
Why LUISA
  • But the current approach still lacks of
    flexibility, because of
  • Adaptability of course composition and limited
    re-usability of LOs across different process
    contexts
  • Different metadata standards existing

Learning Activity
Learning Content
Learning Management Systems
Learning Object Repositories
12
Why LUISA
  • Semantic Web technology is able to provide the
    required computational semantics for the
    automation of tasks related to learning objects
    such as selection or composition
  • Semantic Web enriches data structures used for
    describing web contents
  • The use of Semantic Web Services enables
    mechanization in service identification,
    configuration, comparison and combination.
  • Semantic Web Services have the potential to
    change our life to a much higher degree than the
    current web has already done

13
Why LUISA
  • But current e-Learning approach does not profit
    of semantic benefits
  • LO ontologies are just translations of LO
    standards, not envisaged for automated behaviour
  • LORs are not equipped with semantic
    representation
  • L(C)MS are not SWS-based solutions so they are
    not able to take advantage of its technology
    pros selection, location, composition and
    negotiation of LOs.

Learning Activity
LUISA
Learning Management Systems
Learning Object Repositories
Learning Content
14
Why LUISA
  • LUISA is in charge of exploiting the
    advantages of a Semantic Web Service Architecture
    within the e-Learning environment
  • LUISA addresses one essential problem the
    location of (the appropriate) learning resources
    for some given needs (of learners, instructors or
    groups)

SWS
E-Learning
15
Why LUISA
  • By means of
  • The development of a reference semantic
    architecture for the major challenges in the
    search, interchange and delivery of
    learning objects in a service-oriented
    context.
  • The technical description of the solution in
    terms of current SWS technology
  • The provision of the ontologies, facilities and
    components required to extend and enhance
    existing learning technology systems with the
    advanced capabilities provided by computational
    semantics.

LUISA
16
LUISA OverviewOutcomes
LUISA is a European Comission FP6 funded
Specific Targeted Research Project
www.luisa-project.eu
17
Outcomes
  • A formal framework for the discovery, selection,
    composition and negotiation of learning objects
    using a semantic service-oriented substrate
  • A concrete Semantic Web Services Architecture
    realising the framework
  • A learning object-oriented ontology specifically
    targeted to the delegation of tasks to software
  • A new technique for the semantic, formal
    annotation of learning objects beyond the filling
    of metadata fields prescribed by standards.

18
Outcomes
  • Creation of relevant learning scenarios to serve
    as a blueprint for LUISA technology adoption and
    also forevaluation purposes
  • Industrial Training Scenario
  • Academic Learning Scenario
  • The outcomes of LUISA are expected to make a
    significant contribution to the automation of
    learning technology systems beyond current
    standards, increasing the capability to locate,
    search and negotiate learning resources mediated
    by semantic tools.

19
LUISA OverviewObjectives
LUISA is a European Comission FP6 funded
Specific Targeted Research Project
www.luisa-project.eu
20
Objectives
  • LUISA main objective
  • To exploit the advantages of a Semantic Web
    Service Architecture in order to enrich and make
    more flexible the processes of specifying,
    discovering and composing learning needs in the
    context of Learning Management Systems and
    Learning Object Repositories
  • The enhanced architecture will open new
    possibilities in the automation of learning
    object discovery, selection, composition and
    negotiation, within distributed service
    architectures seamlessly integrated through
    ontologies.

21
Objectives
  • To develop a Semantic Web Service-based
    Architecture for Learning Object Discovery,
    Selection, Negotiation and Composition.
  • To develop Semantic Learning Object Annotation
    Techniques. Learning Objects can be effectively
    disseminated by Semantic Web Services, whose
    functional and non-functional characteristics
    need to be described. 
  • To develop an Annotation Tool. Our approach
    requires the addition of semantics to learning
    objects metadata, and for this sake, we will
    further develop an authoring tool, extending
    current ones.

22
Objectives
  • Integration of the architecture into existing
    LCMS. The SWS infrastructure and the Annotation
    tool have to be seamlessly integrated into
    existing Learning Content Management Systems to
    exploit the advantages of widely spread systems
    in the e-learning community.
  • Case study reports. The implementation of the
    architecture will be put into practice in
    real-world case studies (one in the Academic
    e-Learning and other in the Industrial
    e-Training), converting existing learning
    resources to the ontological representation,
    serving both as a proof of concept for the
    architecture in all of its scenarios, and also as
    a vehicle to analyze empirical usage findings in
    a real-world context.

23
Objectives
  • WSMO extension. From a methodological
    perspective, LUISA is also a major validation of
    the generic SWS infrastructure provided by other
    initiatives as WSMO, especially due to the fact
    that the domain of learning technology is
    especially metadata-intensive, since it aims at
    describing richer content structures and
    pedagogical properties. Some of the components to
    be developed under LUISA's performance are
  • An extension of WSMO to deal with LOMR
    requirements.
  • An extension of WSMO to support the process
    languages.

24
LUISA OverviewInnovations and Benefits
LUISA is a European Comission FP6 funded
Specific Targeted Research Project
www.luisa-project.eu
25
Innovations and Benefits
  • LUISA addresses one essential problem the
    location of (the appropriate) learning resources
    for some given needs (of learners, instructors
    or groups).
  • Two main approaches are available as of
    today
  • Google!
  • Specialized learning object repositories (LOR)
    that provide search based on specialized
    metadata.
  • But
  • The first one does not exploit information
    specific to learning/instruction.
  • The second one does (to some extent), but without
    exploiting domain/commonsense/specialized
    knowledge

26
Innovations and Benefits
  • LUISA is a framework for developing specialized
    systems or brokers for other systems.
  • It does not replace but extends existing
    investment
  • And provides several key innovations
  • Enables the expression of queries in terms of
    ontologies.
  • Locates the best sources/providers for given
    queries (learning needs)
  • Suggests tentative compositions based on
    learning needs
  • Is able of getting back to the user for more
    relevant info
  • Enables different query resolution/composition
    strategies, including educational knowledge

27
Innovations and Benefits
  • Shifting from manual data-oriented approach to
    automatic service-based approach
  • Shifting decision about how to achieve the
    learning objective from the learning designer
    (design-time) to the SWS broker and the Service
    (run-time)
  • Dynamic adaptation to actual learning context
    (known at runtime only)
  • Decision based on formal semantics (not based on
    the subjective of a specific designer)
  • Integration of wide variety of learning resources
    (services, content, open repositories)
  • Reusability of semantic learning process models
    across different contexts, standards and
    platforms
  • Higher appropriateness of the learning support to
    actual learning context
  • Reduces development costs

28
LUISA OverviewArchitecture
LUISA is a European Comission FP6 funded
Specific Targeted Research Project
www.luisa-project.eu
29
SWS Infrastructure Architecture
Control of Learning Design
Decomposition of Learning Goals
Negotiation of Results
LUISA LMS
eLearning Applications
Authoring Applications
Interface Layer
Annotation Interface
Learning Objective
Negotiation Layer
Process Language Layer
Composition of Results
Results Composer
Query Resolver
Transparency Layer
Selection, Orchestration, Execution of Web
Services
Semantic Web Service Layer
SWS Environment (IRS-III)
Supporting Functionalities
Service Layer
WS
WS
WS
WS
WS
Data Layer
Annotation Tool

LUISA LOMR

30
Locating Innovation in the LUISA Architecture
31
LUISA WorkplanComponents and Workpackages
LUISA is a European Comission FP6 funded
Specific Targeted Research Project
www.luisa-project.eu
32
Components and Work Packages
  • LUISA Architecture in terms of components

33
Components and Work Packages
  • Work Packages
  • Research, Technological and Innovation
    activities
  • Work package 2 SWS Infraestructure
  • Work package 3 LO Annotation
  • Work package 4 LOMR and LOMR Integration
    Development
  • Work package 5 LCMS
  • Case Studies
  • Work package 6 Industrial Training Use Case
  • Work package 7 Academic Learning Use Case
  • Exploitation and Dissemination Activities
    Workpackage 8
  • Management Workpackage 1

34
Components and Work Packages
  • Work Package 2 Semantic Web Service
    Infraestructure
  • Objectives
  • To develop the concepts that allow assimilating
    SWS to LOMR
  • To extend WSMO to comprise the requirements posed
    by the description of the LOMR
  • To develop a SWS infraestructure adapted for the
    discovery and execution of LOMR
  • To develop a SWS annotation Tool

35
Components and Work Packages
  • Work Package 3 Learning Object Annotation
  • Objectives
  • To design annotation profiles extending the idea
    of application profiles to be used for automatic
    adaption of annotation tools. The design of
    annotation profiles will encourage
  • Reuse of standards and common practices
  • Semantically correct expression of annotations
  • An annotation tool will be developed. It will be
    configurable via annotation profiles and can be
    integrated into LUISA-enabled LCMSs.
  • An standard translator will be specified and
    implemented.

36
Components and Work Packages
  • Work Package 4 Learning Object Management
    Repository and Learning Object Management
    Repository Integration Development
  • Objectives
  • To devise a general architecture for the storage
    and retrieval of learning object metadata
    repositories containing annotations represented
    in terms of ontologies.
  • To devise a technical mechanism for mapping
    existing metadata repositories into semantic
    sources, thus mediating between them and the SWS
    architecture of LUISA.
  • To develop a reference implementation for that
    LOMR

Learning Object Repositories
37
Components and Work Packages
  • Work Package 5 Learning Content Management
    System
  • Objectives
  • To implement the reference implementation
    prototype which allows
  • To create LUISA learning objects addressing a
    wide range of pedagogical approaches and their
    associated learning activities
  • To annotate the LUISA or other learning objects
    with semantically described metadata and store
    the learning objects and their metadata in the
    digital repositories
  • To implement the repository interface based on
    the SWS architecture for the searching and
    retrieval of learning objects from the learning
    objects repository.

Learning Management Systems
38
Components and Work Packages
  • Work Packages 6 and 7 LUISA Scenarios
  • Both academic and industrial worlds are
    expecting innovative services that would really
    enable easy description, retrieval, selection and
    reuse of digital learning resources in an easy
    way.
  • Objectives
  • To devise realistic scenarios within different
    context for use of SWS based LCMS system, where
    an actual improvement of the existing processes
    is obvious.
  • There are two different scenarios
  • Industrial Training Use Case
  • Academic Learning Use Case

39
Components and Work Packages - Scenarios
  • Scenario 1 Dynamic service (and content)
    delivery at runtime
  • Different web services used which retrieve
    semantic LO metadata out of virtual different
    repositories
  • Dependent of provided search parameters
    appropriate service is selected(e. g. Field of
    Study, Language, Interactivity Type)
  • Dynamic selection of appropriate service based on
    semantic capability descriptions (WSMO)
  • Available at http//luisa.open.ac.uk/test/
  • Scenario 2 Highly adaptive and
    standard-compliant learning packages
  • One unique IMS Content Package (IMS LD) reused
    across different learning contexts
  • Different learners supported by achieving his/her
    different objectives (e. g. Learn German,
    Learn Italian )
  • Individual learner preferences (e. g. native
    language) are considered at runtimefor the
    dynamic service selection (e. g. french learners
    get french learning content )

40
LUISA WorkplanMilestones
LUISA is a European Comission FP6 funded
Specific Targeted Research Project
www.luisa-project.eu
41
Milestones
M30 End
M0 Kick-Off
LUISA Project Milestones
LUISA Project
M6
M12
M18
M27
M24
42
Milestones
M30 End
M0 Kick-Off
LUISA Project Milestones
LUISA Project
M6
M12
M18
M27
M24
43
Milestones
M30 End
M0 Kick-Off
LUISA Project Milestones
LUISA Project
M6
M12
M18
M27
M24
44
LUISA WorkplanDeliverables
LUISA is a European Comission FP6 funded
Specific Targeted Research Project
www.luisa-project.eu
45
Deliverables
M30 End
M0 Kick-Off
LUISA Project Deliverables
  • M6

M12
M18
M27
M24
46
Deliverables
M30 End
M0 Kick-Off
LUISA Project Deliverables
  • M6

M12
M18
M27
M24
47
Deliverables
M30 End
M0 Kick-Off
LUISA Project Deliverables
M6
M12
M18
M27
M24
48
LUISALearning content management system Using
Innovative Semantic web services Architecture
  • Contact information
  • Nuria de Lama
  • nuria.delama_at_atosorigin.com
  • Atos ResearchInnovation
  • ATOS ORIGIN SPAIN

LUISA is a European Comission FP6 funded
Specific Targeted Research Project
www.luisa-project.eu
Write a Comment
User Comments (0)
About PowerShow.com