Interoperability of Learning Object Repositories
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1 Interoperability of Learning Object Repositories Dr. Bernd Simon Wirtschaftsuniversität Wien
2 Contributors Christian Werner, Learning Lab Lower Saxony Erik Duval, Katholieke Universiteit Leuven & Ariadne Daniel Olmedilla, Learning Lab Lower Saxony Dan Rehak, Carnegie Mellon University David Massart, European Schoolnet Frans Van Assche, European Schoolnet Griff Richards, Simon Fraser University Gerhard Müller, IMC Julien Tane, Universität Karlsruhe Marek Hatala, Simon Fraser University Matthew J. Dovey, Oxford University Michel Arnaud, Université de Paris X Nanterre Nikos Papazis, NCSR Peter Dolog, Learning Lab Lower Saxony Sascha Markus, IMC Simos Retalis, University of Piraeus Stefaan Ternier, Katholieke Universiteit Leuven Stefano Ceri, Politecnico Milano Stefan Brantner, BearingPoint Infonova Stefan Sobernig, Wirtschaftsuniversität Wien Tomaz Klobučar, Institute Jozef Stefan Theo van Veen, Koninklijke Bibliotheek Zoltán Miklós, Vienna University of Economics and Business Administration Acknowledgements Slide 2
3 Motivation for Interoperability: Workplace Learning Publishing House Magazins, Journals Books Online Bookstore Tool: Web Browser + Many Propriatery Web Applications Courses Tutorials Online Marketplace Intranet Intranet Best Practice Studies Slide 3
4 Motivation for Interoperability: Workplace Learning Tool: Web Browser + Personalized Search Client + Educational Semantic Network Personalized Search Client Magazines, Journals Books Courses Tutorials Best Practice Studies Publishing House Online Bookstore Online Marketplace Intranet Intranet Interoperable Smart Space for Learning TM Slide 4
5 Why a Network Service? Collaboration and interoperation adds more visibility and usage of Learning Resources. The global system is more that the individual sum of the parts We want to have a flexible way of interoperation for different systems: no assumptions/constrains on the systems. This may help adoption of E-learning systems across Europe: bridge over each country differences. May help the acquisition and assimilation of e-learning Service Oriented Architecture is the way to go for actual Information Systems. Slide 5
6 Basic Problem Query Language, Schema Transport Query? Results Source Results Format Target Slide 6
7 Architecture of a Solution: Based on a Simple Query Interface Slide 7
8 Interoperability Stack Slide 8
9 Design Rationales for Overall Objective: Light-weight design Easy adoption (like the Web) Flexible: Synchronous and asynchronous mode Centralized and Peer-to-Peer Stateful - Stateless Open: Query Language (CQL, QEL, XQuery ) Result Format (Complete records or not) Metadata Schema (LOM, DC, ) Slide 9
10 Methods Session Management createsession createanonymoussession destroysession Query Parameter Configuration setresultsformat setmaxqueryresults setmaxduration Synchronous Query Interface setresultssetsize synchronousquery gettotalresultscount Asynchronous Query Interface asynchronousquery setsourcelocation queryresultslistener Slide 10
11 Uptake of Implementation: 15 nodes registered at Registry Standardization: is about to be endorsed as an CEN/ISSS Workshop Agreement (CWA) is part of the IMS Query Service Specification is a candidate of being fast-tracked as an IEEE LTSC standard Preliminary talks with CORDRA ( SCORM) Publications: 5+ papers on and -related issue (in last 6 months) 1st International Workshop on Interoperability of Web-based Educational Systems held in conjunction with WWW2005 Slide 11
12 ELENA Network EduSource, AeShareNet, Edna, HCD Suite Moodle, Polycollege Telemae Ariadne Ongoing implementation Universitärer Lehrverbund Informatik (ULI) Amazon Gateway EduSource Gateway ELENA NETWORK Edutella Gateway Knowledgebay Metzingen Continuing Education Database BFI CLIX EducaNext Slide 12
13 The access to the network and Network search for personalized search using Lucene Slide 13
14 Trial it out! Send us your comments! Join us! Slide 14
15 ELENA Network Implementation Zoltán Miklós Vienna University of Economics and Business Administration
16 Content Overview of the implementations of connected nodes Similarities & differences Further information: Frequently updated, also after the Elena project Slide 16
17 Acknowledgements Bernd Simon, WUW Fridolin Wild, WUW Stefan Sobernig, WUW Gernot Huber, WUW Daniel Olmedilla, L3S Sandra Aguirre Herrera, UPM Albert Mozo, UPM Stefan Brantner, BearingPoint Thomas Zillinger, BearingPoint Stefaan Ternier, Katholieke Universiteit Leuven Tomaz Klobucar, Jozef Stefan Institute Sascha Markus, IMC Slide 17
18 The Semantic Model of the ELENA Network 1/2 Based on Standards: IEEE LOM, Dublin Core, Open-Q, Vcard Mandatory Query Elements: Search Term Learning Resource Language Learning Resource Category Price Flag Restrictions Flag Mandatory Result Elements: Identifier Title Additional Information Contributor Description Learning Resource Language Learning Resource Category Price Flag Restrictions Flag Slide 18
19 The Semantic Model of the ELENA Network 2/2 Optional Elements: Organization Name Provider Person Learning Goal Subject Learning Material Type Learning Activity Type Price Amount Price Currency Slide 19
20 lmplementation of the nodes Common aspects: Implementation in java Common schema expressed in RDF Query language used for mediation: QEL (edutella) Query management protocol: Differences: Data integration Individual solutions (with similar/reusable components) Main questions: Mapping to common schema Answering QEL queries of not RDF data Slide 20
21 Gateway: Amazon gateway HCD suite QEL query QEL results Amazon search Amazon gateway Amazon results QELQueryWrapper -Webservice AmazonMessageHandler Slide 21
22 Gateway Gateway Nodes: Amazon Gateway (with caching) Mapping of Amazon data into Elena common schema Amazon uses proprietary schema Problem: language Translation of QEL queries into Amazon specific search format Large fragment of QEL queries can be translated (also logical operations like OR, AND, NOT) Slightly different semantics Slide 22
23 Relational database Nodes: CLIX WU Executive Academy (formerly WBZ) EducaNext-UPM HCD-suite local repository Ariadne (with QEL) Mapping: Each system provided a mapping from their local database schema into the Elena common schema Mapping module of Daniel Olmedilla QEL queries: Nodes add a new table in their database with all possible RDF triples (in Elena common schema) Slide 23
24 RDF and XML files RDF file Nodes: ULI Answering QEL queires: straightforward (edutella file-base provider) Mapping: mapping module XML file Nodes: Metzingen Translation of QEL queries into XQuery developed Mapping: QEL- XQuery query translation can handle mappings Slide 24
25 XML database Slide 25 custom XML View custom XML View XQuery RDF-QEL ResultSet
26 XML database Store XML data or metadata from relational databases in an XML database Nodes: Relational databases: LASON, Knowledgebay XML data: BFI Vienna Answering QEL queries Reuse of QEL XQuery translation XML schema of the XML database closely related to Elena common schema Mappings Expressed in XQuery Update Continous update of the XML database (exist) Relational database to XML: XQuarkBridge (open source component) Slide 26
27 HTTP Proxy Nodes: seminarshop.com Seminarshop.com implemented a HTTP-based interface + mapping Answering QEL: adaptation of QEL- XQuery translation Slide 27
28 Integration of edutella Slide 28
29 P2P network P2P network Nodes: Edutella Asynchronous interface added to edutella Slide 29
30 Work in progress Implementation of in script languages xotcl Moodle: PHP Almost ready implementations: EduSource Polycollege (Vienna) Publications (work in progress) How to paper (within PROLEARN, for prospective partners) Integration architectures/patterns Slide 30
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