knowledge web area managers and managing directors overview (2005)

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Knowledge Web Area Managers and Managing Directors overview (2005)

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Knowledge Web

Area Managers and Managing Directors overview

(2005)

2

The big challengue

Realizing the Semantic Web. It requires

– Support the transition process of Ontology technology from Academia to Industry, OUTREACH TO INDUSTRY

– Promote and generate educational activities on the Semantic Web, OUTREACH TO EDUCATION

– Coordinate the research on Semantic Web and Semantic Web Services, COORDINATION OF RESEARCH

3

The potential

Critical mass of scientific and technological leaders in the field of ontologies and Semantic Web from several European countries

– Leading Universities and Research Centers in Ontologies and the Semantic Web

– Leading partners in Multimedia

– Leading partners in Human Language Technology

– Leadings partners in Workflow

– Leading partners in Agents

4

The instruments

A Network of Excellence– 48 months– 6.7 millions as a grant for integration

Not only!!– Cooperation with other networks, projects,

and initiatives

5

The results

Strong European industry in Semantic Web enabled e-work and e-commerce

Leading European research on Semantic Web, Semantic Web Services and its applications

Well-established European education on Semantic Web, VISWE

High and durable impact

6

The structure Project Coordinator and spiritual

leader: Dieter Fensel, UIBK

Scientific director: Guus Schreiber (VU)

Scientific vice-directors:– Jérôme Euzenat, INRIA– Asun Gómez-Pérez, UPM

Area managers:– Industry:

• Alain Lèger, FT• Robert Meersman, VUB

– Research: • Carole Goble, VUM• Rudi Studer, UKARL

– Education• Enrico Motta, OU• Wolfgang Nejdl, L3S

Managing Directors:– Alice Carpentier, UIBK– Leonarda Haid-García, UIBK– Francisco Martin-Recuerda, UIBK

7

Industry Area: Main Goal

Promote greater awareness and faster take-up of SW technology by industry – in close and permanent synergy with the research

area

How? create a feedback loop between industry and research, including education and training

Academia

“bridge the gap” between industry and research(bi-directional process!)

8

Industry Area: setting up

Formulate new scientific challenges from industrial needs

• Establish Industrial Board (inspired by OntoWeb/SIG4)• Collect and analyse business uses cases, systemic requirements

Evaluate technology with respect to industrial needs

• Propose methods of evaluating ontology usability and usefulness • Analyse utility of ontology-based tools• Propose a unified SW framework for interoperability and services

Establish cross-project research through related efforts

• Cooperate with other networks and projects (e.g. Agentcities, REWERSE, OntoWeb, SWWS, DIP, …

9

Industry Area: outreach

Show the added value of Semantic Web technology in applications• Identify, capture and promote successful business stories • Produce technology roadmaps• Organize promotional events: seminars, workshops, conferences

Creation of Semantic Web Portal• For integrating the activities of KWeb partners• For promotion of technology to industry activities

Establish requirements for “Ontology Outreach Authority”• As meeting place for interacting with industrial parties• Future certification and publication of ontologies, and

ontology-based tools

Make recommendations on how to develop and deploy ontologies• Capture best practices and guidelines for deployment• Contribute to standards work (inspired by OntoWeb/SIG1)

10

Industry Area: workplan

WP 1.1: Industrial application needs (Started, led by FT)

WP 1.2: Evaluation for technology selection (Start mo.6, led by VUB)

WP 1.3: Technology recommendations (Started, led by VUB)

WP 1.4: Promotion of ontology technologies (Start mo.6, led by UIBK)

WP 1.5: Cross-network cooperation (Started, led by UIBK)

WP 1.6: Semantic portal infrastructure (Started, led by UPM)

Nº Nom de la tâche

1 WP1.1: Industrial Needs Analysis

2 Industry Board Set up (Task 1.1)

3 Board and MoU (D 1.1.1 v1)

4 Board updated (D 1.1.1 v2)

5 Systems Requirements (Task 1.1.2)

6 Prototypical Use Cases (D 1.1.2 v1)

7 Knowledge processing Requirements (Task 1.1.3)

8 Ontology based processing (D 1.1.3 v1)

9 WP1.2: Evaluations for Technology Selection

10 Utility of Ontology based Tools (Task 1.2.1)

11 Utility of Ontology Tools suite (D 1.2.1 v1)

12 Interoperabilty of Tools (Task 1.2.2)

13 Report on SWF requirements (D 1.2.2)

14 SWF Architecture (D 1.2.3 v1)

15 Ontology Content Evaluation (Task 1.2.3)

16 Method f or Ontology evaluation v 1 (D 1.2.4)

17 WP1.3: Technology Recommendations

18 Best Practices and Guidelines (Task 1.3.1)

19 Best Practices v1 (D 1.3.1)

20 Ontology Repository (Task 1.3.2)

21 Ontology repository v1 (D 1.3.2)

22 Standards (Task 1.3.3)

23 Standards report V1 (D 1.3.3)

24 Ontology Registration Authority (Task 1.3.4)

25 Report on ORA v1 (D 1.3.4)

26 WP1.4: Promotion of Technology

27 Technology Roadmap (Task 1. 4.1)

28 Roadmap v1 (D 1.4.1)

29 Success Stories (Task 1.4.2)

30 Success Stories v1 (D 1.4.2)

31 International Technology Show (Task 1.4.3)

32 Report on International Shows v1 (D 1.4.3)

33 WP1.5: Cross-field activity

34 Potetial co-operators (Task 1.5.1)

35 Joint Education and Training (Task 1.5.2)

36 Training & Forum agreement (D 1.5.1)

37 Cross Networks activ ities (Task 1.5.3)

38 Report on Networks activ ities (D 1.5.2)

39 WP1.6: Semantic Portal Infrastructure

40 Portal Requirements and Design (Task and D 1.6.1)

41 Portal Ontologies (D 1.6.2)

42 Portal Development (Task 1.6.3)

43 First Prototype Portal (D 1.6.3)

44 Content and maintenance activ it ies (Task 1.6.4)

45 Portal Releases (D 1.6.4)

N D J F M A M J J A S O N D J F M A M J J A S2nd Semestre 1er Semestre 2nd Semestre 1er Semestre 2nd Semestre

11

Research Area: Motivation

Previously – Making the Semantic Web a possibility

Now – Making the Semantic Web a reality Key role of ontologies Goal: Transform ontology technology into a

mature building block for the Semantic Web Key points:

– Scalability– Heterogeneity– Dynamics

Ingestation by Industry Dissemination through Education

12

Research Area: Vertical activities

Semantic Web Services– Focal point of research– Provides test cases and problem settings– Industry outreach

Semantic Web language extensions– Disseminate results to various standardization bodies

Virtual research centre – Coordinate and foster collaboration– Monitor and evaluate excellence and integration of

research

13

Research Area: Workpackages

WP 2.1 Scalability (VU) WP 2.2 Heterogeneity (INRIA) WP 2.3 Dynamics (NUIG) WP 2.4 Semantic Web Services (NUIG) WP 2.5 Semantic Web language extensions

(VUM) WP 2.6 Towards a Virtual Research Centre

(UKARL)

International coordination activities: SDK

14

Education Area: Goals

Different communities: Educational, industrial and research communities

Different kinds of students: students, professionals, researchers

Found an institution (EASE) to support all communities in an integrated way

15

Education Area: workpackages

3.1Foundations for Virtual Institute for Semantic Web Education (VISWE)

3.2Educational content and event provision – Course materials, educational events, summer schools, complete courses and training programmes

3.3Semantic delivery platform – Development of a Semantic Platform for delivering/interacting with learning material about Semantic Web