1. Agent information-analytical technologies for users of specific competencies
Evgeniy, Tretyakov
Alexey, Artamonov
National Research Nuclear University “MEPhI”

2. Background Various types of data sources:
Databases of Citation indexing services (Web Of Knowledge, Scopus, … )
Databases of scientific research (ScienceDirect, … )
Websites of Universities, Institutes and other Scientific Societies …
Various types of users:
Large polythematic scientific organisations and universities
Thematic departments
Particular experts or small scientific groups
Challenges:
Huge amount of information
Hard to meet completeness and accuracy of information search
Hard to meet pertinence of information

3. Content Multi-agent information-analytical system
Types of users and main requirements
Three-tiered approach for information search and thematic rubricating
I Tier. Agents manipulation and Information aggregation
II Tier Rubricating algorithms and Thesauruses Assembling
III Tier Personal dictionaries, Report Assembling, Facts extraction
Document’s Rubric Identification
Document’s Abstract Generation
Q&A Discussion

4. MIAS
Multi-agent information-analytical system on scientific and technological fields comprises:
Tools for information aggregation from different types of information
Tools for fulltext documents rubricating
Tools for generating abstracts from fulltext documents
Scripts for thesauruses assembling
Methodologies for new staff education …

5. Types of users and main requirements
Icon
User type
Requirements
Tier
Large polythematic scientific organisations (universities)
Completeness of information collection from thematic information sources
I Tier (completeness)
Thematic departments (laboratories, scientific groups, etc.)
Accuracy of thematic rubricating, this user type is interested in information of particular rubrics described by thesauruses
II Tier (accuracy)
Particular experts or small scientific groups
This user type is interested in information from different rubrics, the thematic area is described by personal dictionaries
III Tier (pertinence)
Designed by Vectors Market from Flaticon

6. Three-tiered approach for information search and thematic rubricating
The approach combines techniques and mechanisms to supply information for three types of users using agents, thesauruses and personal vocabularies

7. I Tier. Agents manipulation and Information aggregation
Organisation claims for information. Operator Searches for Information Sources
Operator Setup Agent Search. Agents aggregate information
Operator provides information from specified Information Sources to Organisation
Designed by Vectors Market from Flaticon

8. II Tier. Rubricating algorithms and Thesauruses Assembling
Department claims for information. Operator Searches for Information Sources
Department Specifies Thematic Fields. Operator develops thematic thesauruses
Operator Setup Agent Search. Agents aggregate information
The system performs rubricating. Operator provides information to department
Designed by Vectors Market from Flaticon

9. III Tier. Personal dictionaries, Report Assembling, Facts extraction
Expert claims for information. Operator Searches for Information Sources
Expert Specifies Thematic Fields. Operator develops thematic thesauruses and personal vocabularies
Operator Setup Agent Search. Agents aggregate information
The system performs rubricating, and fact extraction. Operator provides information to expert
Designed by Vectors Market from Flaticon

10. Thank you Ready to answer you questions … Evgeniy Tretyakov
“Analysis of Competitive Systems”, 65
NRNU MEPhI
Tel: +7 (915)