EU Project proposal. Andrei S. Lopatenko 1 EU Project Proposal CERIF-SW Andrei S. Lopatenko Vienna University of Technology andrei

EU Project proposal. Andrei S. Lopatenko

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EU Project ProposalCERIF-SW

Andrei S. LopatenkoVienna University of Technologyhttp://derpi.tuwien.ac.at/~andrei


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Objectives Research Knowledge Management at

European scale Providing access to distributed

research data of independent institutions. Advanced information retrieval of documents with different structure, meaning

Discovery service for research sites and information systems in Europe.


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Goals Development of environment for

Effective knowledge sharing and reuse Accessibility of Knowledge Inserting of Knowledge into work

processes So the project to create IR solution

using SW technologies and to make steps to shift CRIS into Knowledge Management area


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Architecture Service Discovery Information System

Expert system to answer users’ requests how to get information and which information systems use to get desired kind of service

Information Retrieval Getting documents, information about research

on European scale Publishing and disseminating information Framework to solve vocabulary and structure

problems


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Service Discovery. Reasons.

Impossible to collect all data from already running information systems Diversity of data structures, data

meanings Different kind of services, the system

valuable not only by its data, but also for its services

Different fee, security, intellectual rights national law policies


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Service Discovery ServiceWhat should provide to users Which information systems/sites satisfy

user needs Examples:

Which system will provide me information about applied chemical research in Europe. I need publication and project descriptions, better about developments in last two years


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Service Discovery

More expert system, then Digital Library or database application

Easy to add new fact and news knowledge

Distributed Different levels of trust


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Service Discovery. Expert system.

User: “I would like to get information about EU

applied research in chemistry”Service Discovery:Step 1. EU Applied research. List of all

databases which are directly marked as databases of EU, which contain data about applied research in chemistry


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Service Discovery. Expert System.

Step 2. EU applied research in chemistry. EU applied research is also financed by European funding organization. Return a list of information systems of EU funding organizations which provide access to data about applied research

Step 3. A number of countries are member of EU. Return a list of national IS providing access to applied research


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Service Discovery. Expert System.

Step 4. Applied research in chemistry in EUReturn a list of information systems of

chemical companies, institutions, publishers which are belong to EU or to any country which is a member of EU

Step 5. “Applied research” and “innovations” are related. Return list of EU innovation (IRC and others) networks and IS


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Service Discovery. Distributed.

No one database in which all network participator should put information about themselves.

Web approach. IS system publishes information about

itself on site, Service Discovery agent collects information


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Service Discovery. Trust.

Different organization deserve different level of trust

Some organizations (national centers) can annotate knowledge about others

User should know level of the trust to information one gets


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Discovery Service. Technologies DAML-S. DARPA Agent Markup Language

Services. Markup constructs for describing properties and capabilities of IS in unambiguous, computer-intepretable form

UDDI, WSDL (?) to make more industry compatible (Universal Description, Discovery and Integration)

Agent technologies Logical engines


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Data access

Distributed “Webalized” Primary functions: information

retrieval, knowledge management Diversity. Different vocabularies, data

structures Different level of trust Different policies for data access


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Data integration

Distributed Access to data should be provided

without dependence on their location Solving schematic and semantic

conflicts. How to deal with different vocabularies, structures?

How to identify objects in distributed environment


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“Webalized”

Distributed networks is not closed Knowledge Management or database solution

Strong demands for data consistency or integrity of whole system are almost impossible to implement

Publishing of data as much easy as only possible


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Diversity In different countries/institutions different

formats for research data uses Should be possible to publish data in own

structure describing meaning of its elements

Should be possible to use new classes for data description describing their meaning

Should be possible to use own vocabularies with new values describing their meaning


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Diversity

If that possible using DAML + OIL notations really describe scientific data ontologies?

Which tools should be provided to end users for ontology management and evolving?


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Diversity

Measure of information lacks in retrieval information. How it affects completeness of data and their relevance? How to represent this information


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Different level of trust.

The networks is open. Any registration can participate in it and say anything

But trust should be different. It should be taken into account

meantime user requests


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Technologies

DAML + OIL for ontology descriptions RDF for data description Ontology construction tools (OilEd,

Protégé-2000, OntoEdit, OntoLingua) Interontology mapping Agent technologies Logic engine


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CERIF-2000 As a base ontology A number of classes derived from

CERIF-2000 entities and vocabulary terms (class: Event, subclass: Workshop event, Conference event)

Attributes and relations derived from CERIF-2000 model

The CERIF-2000 subdivision of model into metadata, exchange, full layers


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General architecture

Microtheories model but with “well-known” CERIF-2000 ontology

Services for asserting data, database updates

Services for asserting ontologies


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User interfaces for Informational Retrieval

How to accommodate different ontologies in presentation?

Different representations of retrieved data? How to specify?

Distributed reporting (WebScripter project)


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Calendar plan 6 month The development and testing ontology for

research web services. Results of DAML-S project may be used

The development and testing of base ontology

Checking for consistency, ability to describe data according EU standard in these areas.

Query interfaces


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Calendar plan. 6-18 months Expressing knowledge about major EU

research sites in terms of developed ontology. Building up expert system for Service Discovery

Publishing of research data into RDF in sites of project participants. Distributed solution for collecting data, for querying data. Testing if ontologies satisfy user needs

Operational system embracing main participators


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Calendar plan. 24 month

Attracting new participants of information publishing, consumers of information in research and industry, evaluation, system improvements and dissemination of results


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Related EU projects ONTOKNOWLEDGE (Content-driven

Knowledge Management through Evolving Ontologies )

iBROW (An Intelligent Brokering Service for Knowledge-Component Reuse on the World-Wide Web )

ONTO-LOGGING( Corporate Ontology Modeling and Management System)

LEAP (Lightweight Extensible Agent Platform )


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Open questions. Should be included into the project?

Semantic Web + Computational GRID (Data GRID)?

Documents

EU Project proposal. Andrei S. Lopatenko 1 EU Project Proposal CERIF-SW Andrei S. Lopatenko Vienna University of Technology andrei