1 ecosemantics proposal to eu fp 7, information society: ict-2007.4.2 intelligent content and...

1

ECOSEMANTICS

Proposal to EU FP 7, Information Society:

ICT-2007.4.2 Intelligent Content and Semantics

2

Project presentation (Draft D5.1.1)

Gerhard Budin (coordinator)

and Palle Haastrup

3

Current problems in EcoInformatics Semantics Management

• Several organizations have similar problems in maintaining and further developing their applications– Handling data exchange, data fusion, data integration

– Lack of consistent Semantics management (concept systems management)

– Tools for managing ontologies, ontology mapping, knowledge representation schemes

– Improve Metadata registries management

– Language engineering for ontology management

– Multilingual knowledge management

– Data dictionary management

4

Problem Description

1. Communication gap between formalized knowledge representations such as ontologies and users of data, information and communication systems,

2. We need seamless natural language interaction workflows in (semantic) web services of any kind

3. There is a growing need for multilingual ontology resources as well as ontology-based translation services

5

Issue: Moving up (and down) the Ontology Spectrum

• moving from linguistic-cultural diversity of discourse to a unified, formalized, axiomatized ontology – and back

• The method: an integrative, multi-level modelling approach specifying the steps in a process-oriented workflow framework (with variable, combinable steps depending on concrete needs) for – Gradual semantic enrichment– Gradual semantic formalization– Metadata and metamodel management– Multi- and cross-lingual referencing/alignment for text management– Constant interaction between full texts and lex-term resources

• based on a standards framework (11179, UML, GRDDL, XML, RDF, OWL, SKOS, WordNet, MLIF (containing TBX, TMX, XLIFF, LMF, TMF, etc.), FrameNet, etc.

• exploitation of different types of languages resources (LR) and knowledge organization systems (KOS)

6

Keywords:

• Integrated and adaptive environment for managing Semantic Systems and Services

• Semantic Service Oriented Architecture (SSOA)

7

Key issues

• meta-modeling framework

• enabling semantic interoperability across all levels and types

• dynamically generating context-aware semantic services in a distributed web architecture.

8

Main Project goals

• Develop and implement an integrated methodology for collaborative semantics management

• Semantic and data interoperability• Further develop and put into practice enhanced ontology

mapping tools as part of this methodology• Contribute to semantics management in emerging water

information systems (such as WISE)• integrated indicator systems and multilingual reporting systems

(EEA, etc.), and in wider contexts (INSPIRE)

9

multiple application contexts

multiple domains multiple standards

collaborative technology- knowledge enhanced creation & collaborative communication learning

multiple Communities multiple languages of Practice & cultures

multiple functions & purposes Fig. 1: A multidimensional semantics management framework

multi-modal content assets & their multidimensional,

semantic structures expressed by multiple ontologies

10

The main goals are to:Develop an integrated methodology for collaborative semantics management for its application in knowledge-related processes

Implement Semantic interoperability using a combined bottom-up and top down approach: bottom-up processes refer to emergent semantic systems in dynamic self-organizing communication processes,

Further develop and put into practice enhanced ontology mapping tools

semantics management in emerging water information systems (such as WISE),

integrated indicator systems and multilingual reporting systems (EEA, etc.)

Develop a Semantic Service Oriented Architecture (SSOA)

11

Participant no. *

Participant organization name

Short name

Country

1 (Coordinator) University of Vienna UV AT

2European Commission Joint Research Centre

JRC IT

3 Food and Agriculture Organisation FAO IT

4German Research Center for Artificial Intelligence

DFKI DE

54C Technologies, kZen R&D department

4CT BE

6 The International Office for Water IOW FR

7 Austrian Environmental Agency UBA-A AT

8 Aarhus Universitet AU DK

9 SKLSE, Wuhan University SKLSE China

10 Max-Planck-Gesellschaft MPG DE

12

Breakdown of topics:

Semantics IT tools: 50 %

Water IT application: 25 %

Dissemination and International: 10 %

I identify with the application….

13

Four main trusts:

•System architecture and integration

.Semantics management

.Web services, and

.Application to the environment domain.

14

WP Work package title Lead Person-months

0 Project Management UV 24

1 System Architecture and Integration

4CT 59

2 Semantics Management DFKI 76

3 Web services UBA-A 94

4 Domain Application - Water JRC 98

5 Dissemination and international coordination

FAO 22

6 Assessment and Evaluation IOW 18

TOTAL 391

15

Perspective and interrelated key words

• Focus on practical, real-world problems to be solved

– WISE, water information systems management

– Semantics management (concept systems management)

– Ontologies, ontology mapping, knowledge representation

– Data exchange, data fusion, data integration

– Metadata registries management

– Language engineering for ontology management

– Multilingual knowledge management

16

Links to other “building blocks” in EcoInformatics

• EDEN-IW– Other water-related projects

• NBII/EIONET Thesaurus Web Service Prototype - Using SKOS• XMDR project

• WIN– Other risk-related projects

• Dynamont• ADNOM• LIRICS• SALT

• Many other projects of all project partners

17

Key Questions:How does semantics emerge from low-level data structures to high-level complex texts and information environments?

How to model and represent the multiple semantic aggregation processes that take place during such processes?

How can we improve the quality and consistency of semantic interpretation of data by modelling the underlying methods and theories in semantic frames and using them for context description and semantic annotation?

How to improve the modelling and handling of cross-lingual and cultural semantic differences in international, multi-domain communities of practice?

How to enrich knowledge organization systems such as thesauri with semantic information to solve tasks in collaborative knowledge management environments?

How to implement the methodologies for collaborative, adaptive, cross-domain, multi-purpose, and inter-lingual semantics management as web services and tools?

•How to combine such services and tools to enrich existing standards-based service oriented architectures?

18

InnovationsImplementing a new approach to web service description models for semantic annotation, semantic enrichment, semantic aggregation, semantic integration, and related collaborative activities by communities of practice

Implementing a coherent multi-level semantic service-oriented architecture (SSOA) for linking metadata semantics with object-level semantics management for domain ontologies, task ontologies, communication environments, information systems, etc.

Integrating CoP technologies, ePortfolios and other social software for applying in semantics management work contexts

Developing a Registry of Semantics (XMDR/new ebRIM profile) (including associations to other ebRIM registries such as the emerging ISO 19115/19119 profile)

Providing interactive “semantic service” support to domain CoPs in their collaborative work in indicator and reporting systems

providing empirical evidence from real-life, large-scale CoPs for the processes of emergent semantics and how semantic service architectures can assist in an interactive way in the coherent and task-driven emergence of knowledge

20

Data services for water application

Translate concepts from global (reference) to local ontology level and vice versa

Translate concepts between reference ontologies

Resolve concepts with high degree of similarity

Perform content harmonization

Deduce gap filling strategies based on knowledge from other data sources

22

Practical example from the Water area

23

What is a “main river” ?

• 27 different (implicit) definition of a main river in Europe:

24

Rivers

25

WFD – CCM2WFD – CCM2

WFD Article 3 Submissions

CCM2Strahler Orders 3 to 11

26

Month 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36

Task 0

Task 1.1 M01

Task 1.2 M04

Task 1.2 M09

Task 2.1 M03

Task 2.2 M05

Task 2.3 M10

Task 3.1 M06

Task 3.2 M11

Task 3.3 M12

Task 3.4 M14

Task 3.5 M07

Task 3.6 M13

Task 3.6 M17

Task 4.1 M08

Task 4.2 M16

Task 4.3 M18

Task 4.4 M19

Task 4.5 M15

Task 5.1 M02

Task 5.2 M21

Task 5.3 M20

Task 6

Month 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36

WP3WEB SERVICES

WP2SEMANTICS MANAGEMENT

WP4APPLICATION DOMAIN WATER

WP1SYSTEM ARCHITECTURE

WP0PROJECT MANAGEMENT

WP5DISSEMINATION AND INTERNATIONAL COORDINATION

WP6ASSESSMENT AND EVALUATION

27

Putting in a project proposal is like buying a ticket in the lottery

We don’t yet know the probability of winning.

But we know that if we generate more relevant and good ideas, we increase the chances!

28

EcoSemantics is basically a child of EcoTerm

Now we need to make one from the EcoInformatics

29

Working title: “AquaInformatics”

Proposal to EU FP 7, Information Society:

FP7-ICT-2007-2

30

FP7-ICT-2007-2

• Publication Date: 12 – June -2007• Closure Date: 9 October 2007, 17:00 • Indicative Budget 477 MEuro• Challenge

– 3.6 ICT for Mobility, environmental sustainability and energy

• 5 Target Outcomes

• Indicative Budget: 54 MEuro

• Minimum for STREPS: 20 MEuro

31

FP7-ICT-2007-2

• Challenge 3.6: ICT for Mobility, environmental sustainability and Energy– Objective ICT-2007.6.3: ICT for Environmental

management and energy efficiency• Target outcome a): ICT RTD in Collaborative Systems

for Environmental Management

32

ICT RTD in Collaborative Systems for Environmental Management

• Aims– to integrate environmental monitoring and

management with an enhanced capacity to assess population exposure and health risks, to report to and alert targeted groups and to organise efficient response.

33


• Target– is a Single Information Space for the Environment

in Europe in which environmental institutions, service providers and citizens can collaborate or use available information without technical restraints.

34


• The activities will– aim at dependable, flexible and user-centric shared

solutions for sustainable use of natural resources and for better management of ecosystems including the mitigation of environmental degradation and associated threats.

35


• Research is expected to deliver– visionary concepts and techniques, or strategic

integrated approaches for ICT systems addressing environmental applications that are cost-effective, easy to set up and to operate.

36


• The focus is – on generic systems that will integrate to a large

extent autonomous,adaptive sensor networks, extended data fusion, rapid and secure access to distributed information, modelling, simulation and visualisation as well as computing facilities for decision making.

37


• The focus is • on generic systems that will integrate to a large extent

autonomous,adaptive sensor networks, extended data fusion, rapid and secure access to distributed information, modelling, simulation and visualisation as well as computing facilities for decision making.

• Full attention will be on the optimisation of complex data flows across all decision levels, across borders and sectors.

38


• Typically, these collaborative systems will be validated in the case of– fresh surface water, – ambient air, outdoor or indoor.

39

Defining issues for the project• Distributed system design, pull technology, general solutions for

interoperability.• 50 % advanced IT application in water• Links to WISE and to US• Ontology, say 25 %• Closer link to data, simplified ontology example.• Sounding board and support from: Ecoinformatics cooperation• Links to users, but still research• Water scarcity ? (Aral Sea example – horror scenario for the

Rhine ?).• Sensor real time links ?, Decision support ?

40

Final remarks

Lots of ideas and material from this Ecoinformatics meeting - detailed proposal to be made

How do we connect with US and other partners ? (or even interlocking? )

41

Thank you!

1 ecosemantics proposal to eu fp 7, information society: ict-2007.4.2 intelligent content and...

Documents