Andrei Lopatenko home page

Publications

DAML Resource Guide

Guide to Metadata for Science and Research 

Distributed Informational Retrieval for Science

RDF Transformations

RDF Query Facility

Semantic Web for  AURIS-MM project

Projects

Topics of interest:

Vocabularies

Semantic Web for AURIS-MM

Austrian Research Information System: Multimedia Extended

Mission statement: 

Research information in any science or technology area is scattered among a number of heterogeneous information system. In Austria only each university has own information system for research data, there also information system for non-university research, Innovation Relay Centers have own information systems.

But usually researchers' or policy-makers' demands for research information is not limited to only information stored in any one the systems. There is a strong need to gather information according request, when it possible, from all sources with relevant data, or to point researcher to systems where information can be found.  

When the request is answered, it maybe be very important to know if the received research information is actual and complete. The answers on questions like "Does the null answer of CRIS on my request mean that there are no such research in Austria or  it may be produces just  due to incomplete information in Austrian CRIS" may mean a lot to researchers and other users of CRIS.  

Participants:

Deliverables:

Documents

The internal documentation which are important for the project development, maybe reused in other projects, but which were not officially published

Publications:

1. The relevant to the project objectives publications written by the participants of the project

Lopatenko, A. S., Serebrakov, V. A., Filipova, A. A., "Metadata usage in Digital Libraries for Research and Technology. Creating and support of application profiles for science.", to appears in proceedings of "Digital Libraries: Advanced Methods and Technologies, Digital Collections", Sep. 2001, html(rus), ps(rus), pdf(rus)

Lopatenko, A. S., Kulagin, M. V., "Current Research Information Systems and Digital Libraries. Needs for  integration", to appears in proceedings of "Digital Libraries: Advanced Methods and Technologies, Digital Collections", Sep. 2001, html(rus), ps(rus), pdf(rs)

Lopatenko A. S. "Semantic Web Content Accessibility Guidelines for Current Research Information Systems (CRIS) and Web content developers of research relevant information at the universities and research institutions", part of 2nd Interim Report, TUWIEN, June 2001 

2. The relevant to the project objectives publications 

Amit PPP. Sheth and James A. Larson. Federated database systems for managing distributed, heterogeneous, and autonomous databases. ACM Computing Surveys, 22(3), September 1990.

Vipul Kashyap and Amit Sheth. Semantic and Schematic Similarities between Databases Objects: A Context-based Approach. The VLDB Journal, 5(4), October 1996.

Sorry. There are too many relevant to different topics of the project publications. They'll  be published latter in a portal "Global Information systems." in a classified and easy for access way

Summary of proposal:

Objectives:

Research information in any science or technology area is scattered among a number of heterogeneous information system. In Austria only each university has own information system for research data, there also information system for non-university research, Innovation Relay Centers have own information systems.

But usually researchers' or policy-makers' demands for research information is not limited to only information stored in any one the systems. There is a strong need to gather information according request, when it possible, from all sources with relevant data, or to point researcher to systems where information can be found.  

When the request is answered, it maybe be very important to know if the received research information is actual and complete. The answers on questions like "Does the null answer of CRIS on my request mean that there are no such research in Austria or  it may be produces just  due to incomplete information in Austrian CRIS" may mean a lot to researchers and other users of CRIS.  

The final objectives of the project are 

1. to develop CRIS, compatible with CERIF-2000, which can be installed in any university or other organization unit to help university administration or researchers to collect research data  and to manage research data for their own needs
2. to develop Austrian information infrastructure for data access to research data, which could provide access to data in Austrian  CRIS,  
3. to create toolset and guidelines helping universities connect their data to AURIS-MM or any other Semantic Web solution
4. to collect Austrian research information or to find out which part of research data can be collected in one central CRIS
5. to develop toolset for CRIS development and Knowledge Management systems for Research Information development

1 CERIF-2000 compatible CRIS with facilities of 

1. publishing information about research into web, searching, browsing web services  
2. inputting information about research (results, organization units, personalities etc) by researchers through the interactive web tools
3. publishing information into RDF 
4. loading information from RDF   
5. collecting information from distributed RDF databases 

2 Austrian information infrastructure for data access to research data

1. database - information gateway -  for collecting information about universities, libraries web sites, researchers and project home pages,  information systems for research and other "information channels". Providing access to information about "information channels". Answering question where, which information can be found in Austria. 
2. RDF Schema for publishing information about research by universities
3. guidelines and toolset helping universities publish their data in RDF 
4. tools, agents for searching distributed RDF database
5. tools for converting data from old CSV format, currently still used by Austrian universitites into RDF 
6. description of other used metadata for research  format, formal description of those formats, mapping from them into AURIS-MM and including data described by other metadata formats into AURIS-MM 

General description of architecture

Fig 1. Query processing

Fig 2,3. Collecting metadata

Schedule:

Project Start Date:  01 May 2001

Task_Data

Rather old schedule, will be renewed

Used technologies and tools

1. OilEd - a simple ontology editor developed by Information Management Group of the University of Manchester. OilEd allows the user to build ontologies according Oil (Ontology Inference Layer) specification and generate Oil, Oil-RDFS, DAML+ OIL  files for built ontologies.   
2. The FaCT System - a Description Logic classifier, developed by Ian Horrocks, Department of Computer Science, the University of Manchester . The FaCT  system includes two reasoners, for the logic SHF, and for the logic SHIQ 
3. RDF Crawler - application, developed by Ontobroker team,  for crawling the web and collecting RDF descriptions published on the web.
4. Jena - java API for manipulating RDF models, developed by Brian McBride and Jeremy Carroll, HP Labs. Also ARP (Another RDF Parser) which is developed by Jeremy Carrol, HP Labs
5. SWI-Prolog - open-source Prolog system with support for RDF and RDF Schema (SGML/HTML/XML/RDF package, JPL - Java Interface to Prolog). SWI-Prolog is beeing used as an inference engine.
6. Squish  - an SQL-like query language, developed by Libby Miller, ILRT, University of Bristol, UK, for RDF talking to a back-end SQL database or in-memory model of RDF.  
7. Xerces and Xalan  - a set of tools for paring, generating XML, and transforming XML using XSLT.
8. etc.
9. Useful links about metadata for research and technology

RSS Channel:

The RDF Site Summary definition of the project's page in RDF  

RSSXpress.ukoln.ac.uk web presentation of the the project channel

Redland RSS viewer web presentation of the project channel

To view information syndicated using this RSS file , we advice you to use  

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