PAS: A Personal Alert System for Information Retrieval in CRISs

29/11/2007 Dutch-Belgian Database Day 2007

PAS: A Personal Alert System for Information Retrieval in CRISs

Germán Hurtado Martín1,2

Chris Cornelis2

1. Hogeschool Gent, 2. Universiteit Gent

Dutch-Belgian Database Day 2007 229/11/2007

Overview

CRISs Fuzzy sets and Rough sets PAS project


Overview



CRISs: Current Research Information Systems

Bring together information related to current research

Publications, project descriptions, programmes, researchers, organizations, patents…


Examples of CRISs

USDA/CRIS: http://cris.csrees.usda.gov SICRIS: http://sicris.izum.si RIS: http://www.ris.is IWETO: http://www.iweto.be Degóis: http://www.degois.pt uniCRIS: http://www.unicris.com euroCRIS: http://www.eurocris.org


Information Retrieval in CRISs

Fuzzy

Rough


Overview



Fuzzy sets and rough sets

Traditional approach: crisp sets

Young people = {x People | 0<age(x)<27}



Fuzzy approach: fuzzy sets

0 if age(x) ≥ 301 if age(x) ≤ 20(30 – age(x)) / 10 otherwise

Young(x) =



Rough approach: rough sets Information system: (X, A) Equivalence relation in X: R Equivalence class of X: Rx

Equivalence classes:{x1,x4}, {x2}, {x3}, {x5}, {x6}with P = {Organisat., Funding, Discipl.}

{x1,x4,x5}, {x2}, {x3}, {x6}with P = {Organisation, Discipline}

X

A


Rough set: representation

X

Upper approx. RA

(Ry ∩ A ≠ Ø)

Lower approx. RA

(Ry A)

A

positive examples

Equivalence class of R


Rough set (R↓A, R↑A): example

Equivalence class: {x1,x4}, {x2}, {x3}, {x5}, {x6} with P = {Org., Fund., Discipl.}

R↑A

R↓A

A

A = {x1, x2, x3}

R↓A = {x2, x3}

R↑A = {x1, x2, x3, x4}


Fuzzy rough sets

Fuzzy approach on rough sets Fuzzy set A Fuzzy relation R

R (x,y)

Upper approximation (R↑A)(y) = T(R(x,y),A(y))

Lower approximation (R↓A)(y) = I(R(x,y),A(y))

Xx∈sup

Xx∈inf


Fuzzy rough sets: application

Query expansionAllows more results by using R↑A

R Programming Hardware C++ Java Laptop Algorithm

Programming 1.0 0.8 0.8 0.6

Hardware 1.0 0.4

C++ 0.8 1.0 0.7 0.2

Java 0.8 0.7 1.0 0.2

Laptop 0.4 1.0

Algorithm 0.6 0.2 0.2 1.0

- Query: “Programming”- Expanded query: {(“Programming”,1.0), (“C++”,0.8), (“Java”,0.8), (“Algorithm”,0.6)}


Overview



PAS-project

What is the PAS-project? Personal Alert System (HoGent) Goal: to get the researcher’s attention on funding

possibilities that match his/her profile Information: about researchers, projects, funding

possibilities (grants etc.) → matching/collaboration Automation and intelligence


PAS – How does it work?

-Name

-Staff number

-Department(s)

-Group

-Date of creation of the profile

-Last update of the profile

-Percentage research time

-Skills description

-Diplomas

-Publications

-IWETO-keywords

-Free keywords

Fill in

IWETO-

taxonomy

Thesaurus 1

User



-Reference

-Title

-Content

-Attachment(s)

-Level

-Duration

-Institution

-Deadline

-Address

-Contact person

-IWETO-keywords

-Free keywords

IWETO-

taxonomy

Messages



The IWETO-classification has 641 research fields:

5 at the 1st level, 31 at the 2nd level, 605 at the 3rd level

1

2

3



By adding “free keywords” we can refine the classification

1

2

3

0.6

0.7

0.8



Query:A = {k3}

Expanded query:R↑A = {(k1,0.8), (k3,1.0), …}

M1 → R2



0.6

0.7

0.80.7


PAS – Current implementation

Prototype developed as master’s thesis at the Hogeschool Gent

Basic algorithm using weights and their products and basic fuzzy rough query expansion1

Basic profiles and messages Manual processing of feedback Skeleton for the final system

1 P. Srinivasan, M. E. Ruiz, D. H. Kraft, J. Chen: Vocabulary mining for information retrieval: rough sets and fuzzy sets, Information Processing and Management, 37(1) (2001) 15-38


PAS – Future work

Richer representation of profiles and messages Automation of the feedback mechanism Dealing with imprecision and words from different thesauri Dealing with ambiguity and incomplete profiles Tracking research activities for collaboration Automatic extraction of information from text files


Thank you

PAS: A Personal Alert System for Information Retrieval in CRISs

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