PAS: A Personal Alert System for Information Retrieval in CRISs

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

Overview • CRISs • Fuzzy sets and Rough sets • PAS project Dutch-Belgian Database Day 2007

CRISs: Current Research Information Systems • Bring together information related to current research • Publications, project descriptions, programmes, researchers, organizations, patents… Dutch-Belgian Database Day 2007

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 Dutch-Belgian Database Day 2007

Information Retrieval in CRISs Fuzzy Rough Dutch-Belgian Database Day 2007

Fuzzy sets and rough sets • Traditional approach: crisp sets Young people = {x  People | 0<age(x)<27} Dutch-Belgian Database Day 2007

Fuzzy sets and rough sets • Fuzzy approach: fuzzy sets 0 if age(x) ≥ 30 1 if age(x) ≤ 20 (30 – age(x)) / 10 otherwise Young(x) = Dutch-Belgian Database Day 2007

Fuzzy sets and rough sets • Rough approach: rough sets • Information system: (X, A) • Equivalence relation in X: R • Equivalence class of X: Rx A Equivalence classes: {x1,x4}, {x2}, {x3}, {x5}, {x6} with P = {Organisat., Funding, Discipl.} {x1,x4,x5}, {x2}, {x3}, {x6} with P = {Organisation, Discipline} X Dutch-Belgian Database Day 2007

A Equivalence class of R positive examples Upper approx. RA (Ry ∩ A ≠ Ø) Lower approx. RA (Ry A) Rough set: representation X Dutch-Belgian Database Day 2007

Rough set (R↓A, R↑A): example A = {x1, x2, x3} R↓A = {x2, x3} R↑A = {x1, x2, x3, x4} Equivalence class: {x1,x4}, {x2}, {x3}, {x5}, {x6} with P = {Org., Fund., Discipl.} R↑A R↓A A Dutch-Belgian Database Day 2007

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)) Dutch-Belgian Database Day 2007

Fuzzy rough sets: application • Query expansion • Allows more results by using R↑A • - Query: “Programming” • - Expanded query: {(“Programming”,1.0), (“C++”,0.8), (“Java”,0.8), (“Algorithm”,0.6)} Dutch-Belgian Database Day 2007

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 Dutch-Belgian Database Day 2007

IWETO- taxonomy Thesaurus 1 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 User Dutch-Belgian Database Day 2007

IWETO- taxonomy PAS – How does it work? • Reference • Title • Content • Attachment(s) • Level • Duration • Institution • Deadline • Address • Contact person • IWETO-keywords • Free keywords Messages Dutch-Belgian Database Day 2007

1 2 3 PAS – How does it work? • The IWETO-classification has 641 research fields: 5 at the 1st level, 31 at the 2nd level, 605 at the 3rd level Dutch-Belgian Database Day 2007

1 2 3 PAS – How does it work? • By adding “free keywords” we can refine the classification 0.6 0.7 0.8 Dutch-Belgian Database Day 2007

PAS – How does it work? Query: A = {k3} Expanded query: R↑A = {(k1,0.8), (k3,1.0), …} M1 → R2 Dutch-Belgian Database Day 2007

PAS – How does it work? 0.6 0.7 0.8 0.7 Dutch-Belgian Database Day 2007

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 Dutch-Belgian Database Day 2007

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 Dutch-Belgian Database Day 2007

Thank you Dutch-Belgian Database Day 2007

PAS: A Personal Alert System for Information Retrieval in CRISs