FOUNDATION FOR RESEARCH AND TECHNOLOGY-HELLAS INSTITUTE OF COMPUTER SCIENCE

1. FOUNDATION FOR RESEARCH AND TECHNOLOGY-HELLASINSTITUTE OF COMPUTER SCIENCE INFORMATION SYSTEMS LABORATORYhttp://www.forth.gr/ics/isl/ Head: Prof. Panos Constantopoulos

2. Current R&D activities

3. Application areas • Scientific, technical and legal documentation and knowledge bases • Organizational memories, digital libraries • Web data and service platforms • Portlets, Active Workflows • E-business • product catalogues, service brokering • Enterprise resource planning

4. Centre for Cultural Informatics • A unit of ISL specializing in the analysis, design, development and application of IT systems in the cultural heritage sector • Follows a cross-disciplinary approach • Aims at covering the entire lifecycle of cultural information and of documentation processes • Areas of activity • monument and museum information systems • source material management systems • models and standards for cultural data • terminology systems

5. Technological results highlights • Standards • The Conceptual Reference Model of the Documentation Committee, International Council of Museums now a candidate ISO standard. • Enabling technologies • The Semantic Index System (SIS) A versatile, high performance tool for concept and semantic link management, especially suited for meta-modelling. Offered as product. • The RDF Suite Includes a parser supporting semantic validation, a database generator, and a declarative query language, all the first of their kind. Open source. • Selected application systems • The SIS-TMS multilingual thesaurus management system. Offered as product. 35 installations to-date. • The POLEMON National Monuments Record system Approved by the Central Archaeological Council for application at all units and supervised organizations of the Ministry of Culture. Already deployed at 21 locations. • Integrated documentation and document management system for the Germanisches Nationalmuseum, Nuremberg.

6. Personnel (November 2002) Researchers: 2 Univ. of Crete faculty: 5 Affiliated researcher: 1 R&D engineers: 12 Doctoral research assistants: 3 M.Sc. Research assistants: 12 Graduate trainees: 6

7. Collaborations • National • National Technical University (NTUA), Aristotle University of Thessaloniki, Institute for Language and Speech Processing (ILSP), Greek Ministry of Culture, Minoan Lines, ... • International • University Paris-Sud, Institut National de Recherche en Informatique et Automatique (INRIA), Conservatoire National des Arts et Metiers (CNAM), Ecole Nationale Supérieure des Télécommunications – Bretagne (ENST), Consiglio Nazionale delle Ricerche (CNR), Rutherford Appleton Laboratory (RAL), Getty Information Institute, Ministere de la Culture (France), Cité des Sciences et de l'Industrie, Germanisches Nationalmuseum –Nuremberg,… • Industrial • Intrasoft SA, Epsilon Software SA, Unixfor (UF), Bull, Valoris, Finsiel, System Simulation Limited (SSL), ...

8. The ICS-FORTH R&D Activities on the Semantic Web

9. Portal Workplace Community Webs Education Commerce Health What is a Community Web ? • The main requirement is to provide a single point of useful, ubiquitouscomprehensive, and integrated access to various information resources

10. Generating new knowledge • Accessing knowledge from external sources • Representing knowledge in documents and databases • Embedding knowledge in services and processes • Dissemination of knowledge within community • Using knowledge in decision making Community Knowledge Processes

11. Where I can find Minoan artifacts for my homework in history ? Thinker Rodin France Knossos Fresco Greece Guernica Picasso Spain Community Information Resources: Cultural Example

12. Metadata exists for Almost Anything/Everywhere • Physical Objects, Places, People, • Devices, Networks, Infrastructure, • Digital Documents, Data, Programs, • User Profiles, Preferences, <tag1> <tag2> <tag3> </tag1>

13. Advanced Knowledge Schemas (ontologies, thesauri) Heterogeneous resource descriptions Complexity and diversity of information resources <tag1> <tag2> <tag3> </tag1> Semantic Web Resource Descriptions

14. fname creates exhibited String Artifact Museum Artist String lname Date String sculpts Sculpture Sculptor last_modified title paints technique ExtResource Painting String Painter lname creates “Rodin” &r1 &r5 last_modified exhibited 2000/06/09 &r4 title “Reina Sofia Museum” paints fname “Pablo” &r2 technique “oil on canvas” &r6 lname paints “Picasso” 2000/01/02 last_modified &r3 A Cultural Community Web Portal: Example Portal Schema Portal Resource Descriptions r2: museoreinasofia.mcu.es/ guernica.jpg r1:www.rodin.fr/ thinker.gif r3:www.artchive.com/ woman.jpg r4:museoreinasofia.mcu.es Web Resources

15. Community Semantic Webs: Navigating/Querying Museums Techniques Artifacts Artists

16. Mediators over ontology-based sources Mediator Simple ontology (a terminology + a subsumption relation) Articulations (subsumption across ontologies) Ontologies DBs : descriptions of objects using terms of the ontologies Information sources

17. Mediators over ontology-based sources, cont. • Integration approach for providing unified access over ontology-based information sources of the kind of Web Catalogs (e.g. Yahoo!, ODP) • e.g. for defining user views over the catalogs of the web • Sources and mediators can operate in a variety of modes according to specific application needs (recall or precision) • lower & upper approximation • sure & possible answer • Articulation (instead of merging) enables a very natural, incremental evolution of a network of information sources.

18. The ICS-FORTH RDFSuite Main Components • Open Source Code (C-Web license): http://139.91.183.30:9090/RDF/ • The Validating RDF Parser (VRP): Karsten Tolle Diploma Thesis • The First RDF Parser supporting semantic validation of both resource descriptions and schemas • The RDF Schema Specific DataBase (RSSDB): Sophia AlexakiMSc. Thesis • The First RDF Store using schema knowledge to automatically generate an Object-Relational (SQL3) representation of RDF metadata and load resource descriptions • The RDF Query Language (RQL): Greg KarvournarakisMSc. Thesis • The First Declarative Languagefor uniformly querying RDF schemas and resource descriptions

19. Parser Validator supcl subpr target subcl source suppr paints creates The RDFSuite Architecture ICS-RSSDB ICS-VRP ICS-RQL Interpreter Class Property Typing c_name domain p_name range LIB C++ Graph Constructor Loading RDF Java APIs DBMS RDF query API JDBC RDF Loader VRP Internal SubClass SQL3+ SPI functions RDF Model SubProperty SQL3 SQL3 Evaluation Parser class1 property URI creates

20. The C-Web Platform Architecture Server-side app. Legacy DB RQL RSSDB Import RWOS Loader Robot Concept. schema + metadata HTTP DAV HTTP DAV WRS WRS

21. The C-Web Project • EC IST Project (13479) 1999-2000 • Overall Aim: Set-up methodologies and infrastructure for fast deployment and easy management of Web Portals forcommunitiesrequiring • effective knowledge assimilation,elicitation • efficient semantic query answering • Partners: INRIA(FR), FORTH(GR), EDW(IT) • Application Scenarios: Learning Portals for intranets or the Internet • Corporate Knowledge Servers (e.g., automobile, telecommunications) • Memory Organizations (e.g., museums, libraries, archives)

22. EC IST Project (26074) 2001 –2003 Overall Aim: design and experiment knowledge maps for organising, structuring and presenting scientific and technical knowledge semantic portals: create and offer a cartography of connected or neighbouring knowledge domains knowledge itineraries: navigate either on predefined routes, or on new routes that users define in a cooperative manner Partners: INRIA(FR), FINSIEL(IT) FORTH (GR), ENSTB (FR), VALORIS (FR), IMSS (IT), CSI (FR), EDW (IT), DET-UNIFI (IT) Application Scenario: scientific museums The Project “MESMUSES”

23. Effective Knowledge Management: 5 biggest Barriers Source: Infratest Burke

24. How the Semantic C-Webs addresses the 5 obstacles Solutions Obstacles • Lack of time • Unawareness about Need • Neglectance • Intransparency • Knowledge is Power • Direct publishing of information resources by the contributors • Semantic descriptions of resources used by consumers • Automatic publication of new versions of resources • Contributors control their knowledge

25. A Wider Perspective for SeLene:Peer-to-Peer Knowledge Sharing

26. What is P2P ?

27. Server Client What is P2P ?

28. What is P2P ? Peer Peer

29. What is P2P ?

30. The P2P Paradigm for Knowledge Management • Three examples: • Searching information resources in a research organization • On the fly Collaborations between People • Knowledge exchange without central cost center

31. Sharing Knowledge in Research Organization • Vassilis searches desktops of her fellow researchers and downloads information • Meta-information is transmitted on request • Time-efficient • Dimitris doesn’t have to think about publishing his information • Dimitris could restrict access to meta data and “sell” the full tutorial • Vassilis searches tutorials on “P2P” • Vassilis browses the KM server • Dimitris has worked on “P2P” but forgot to publish the information to the KM server • Vassilis calls Dimitris to ask about “P2P” • Dimitris e-mails Vassilis relevant files

32. On the fly Collaborations between People • Collaborative Commerce is the next wave of enterprise applications • Customer Relationship Management • Supply Chain (B2B) Management • Product Lifecycle Management • Distributed collaborative networks of data, applications and knowledge • Spontaneous online collaboration with colleagues, suppliers, customers, ... • Central administration can not provide the necessary flexibility to manipulate user data and applications on each other’s computers • Many people resort to e-mail as communication tool: • Necessity for active (push) publication and distribution • New versions have to be resend • People get flooded by information

33. On the fly Collaborations between People Product Lifecycle Management Supplier Management • Extended relationship management (XRM) • requires truly decentralized administration to collaborate in an ever faster changing environment • peering management and connection technology on a scalable network architecture • semantic vs physical network oriented message routing

34. Knowledge Exchange without Central Cost Center Athens Nicosia • Departments around the world want to share information. They decide to use the Internet (or VPN): • Allocate a budget for web server, administration, and content management • Structure the available information • Administrate users on web server • P2P platform allows exchange of information without upfront investments • Every participant pays for his own platform • Contributors keep control of their knowledge Paris London

35. KM and e-Learning: Four Scenarios Planet ofContenteous Planet Instantia Nomadict Planet Planet of Cafélattia

36. Planet of Contenteous • Classical transmission model of knowledge • rich content & learning process • formal testing & feedback • assessment on reproduction & critique • Technology as a content delivery system • content & learning management systems, • multi media, DVDs, digital & cable TV.a • Virtual Learning Environment (VLE) • support different media • automatic testing & tracking • eye into reality, simulations, virtuality • mass viewing, individual assessment • asynchronous & synchronous scheduling

37. Planet Instantia • Continuous, autonomous, adaptive skill’s development • flexible & instant • just for me, just in time • just for now, just enough • assessment on authenticity & tracking • Technology as a tool for in-house knowledge assimilation • from computer desk • learning objects rule the planet! • Virtual Learning Environment (VLE) • high reliable, scalable as courses increase • individualisation, customisation

38. Nomadict • Truly any time, any place learning • work with varying cultures & traditions • learner chooses style, focused learning • components interact with learners’ environments • student designed assessments (with helpers) • Wearable, portable & embedded technologies promote student ownership of learning process • PDAs, Palms tops, 3rd generation mobile phones • GPS, wireless & personal • national & international communication networks • VLEs accessible anywhere without client software • support tiny chunks of learning activities (modularity) • ambient intelligence • personalized assessment

39. Planet of Cafélattia • Social context for learning: p2p information exchange & knowledge construction processes • acquisition, argument & application • find & interact with like-minded others • free expression, intellectual extension by dialogue • sharing of tacit knowledge (professional communities) • negotiated assessment: problem solving skills • Developed Internet (beyond the browser!) technologies as • mediating devices • contexts & community space • asynchronous & synchronous groupware • distributed computing resources: P2P memory space sharing • VLE support many standards and/or compatibility addressed • knowledge management tools • much improved group working tools • sophistication in collaborative environments

40. Cognitive/behaviourist Moderated interaction 2 Views of Developing online Learning Processes Human intervention & support course in a box (OR ON A SCREEN)

41. From e-Learning to e-Business & Management Individual Learning Systems Organizational Learning Systems Advanced Simulations Virtual Communities E-nnovation Studies Intelligent Learning Agents Innovation & Change Processes Knowledge Management e-Business & e-Management e-Learning

42. From e-Learning to e-Business & Management Individual Learning Systems Organizational Learning Systems Advanced Simulations Virtual Communities E-nnovation Studies Intelligent Learning Agents * online platforms design and evaluation * analysis of online social dynamics * analysis of knowledge- & value-creating processes (learning communities) * cyberentrepreneurship cases and studies * innovation processes at company and market level * sector-specific studies (banking, content, etc.) * effectiveness of advanced experiential learning systems * design of multi-user, virtual reality environments * object-oriented modelling of organizational dynamics * modelling of highly inter- active learning & change processes * modelling of knowledge domains (ontologies) * intelligentconversational agents (InCAs) Innovation & Change Processes Knowledge Management e-Business & e-Management e-Learning