University of Yaounde I (UYI)

***

Polytechnic Higher National School of Yaounde

(P. H. N. S)

Department of Computer Science and Mathematics

(D. C. S. M)

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Laboratory of Data-processing, Multi-media and Applications

(LABODAMA)

 

END OF TRAINING THESIS

 

TOPIC :

« KNOWLEDGE DISCOVERY IN A MULTI-MEDIA DATA BASE AND MULTI-POINT OF SIGHTS : APPLICATION TO MEDICAL RESEARCH »

 

PRESENTED AND SUPPORTED IN YAOUNDE ON JUNE 19, 2000 BY

 

MFEGUE GUY PHILIPPE

 

FOR OBTAINING THE

 

DIPLOMA OF COMPUTER SCIENCE AND DATA-PROCESSING ENGINEER

Thesis

Document

***

(c) GPM, 2000

 

THE JURY

q       PRESIDENT :

ü       Dr CLAUDE TANGHA – SENIOR LECTURER IN THE D.C.S.M  OF THE P. H. N. S & RESPONSIBLE OF THE LABODAMA

q       MEMBERS :

ü        Dr PAULINE LAURE FOTSOSENIOR LECTURER AT THE FACULTY OF SCIENCES OF THE UYI & THESIS DIRECTOR

ü        Dr CANAL – MULTI-AGENTS SYSTEMS THEORY SPECIALIST & GUEST MEMBER

ü        Dr GUILLAUME KOUM DISSAKESENIOR LECTURER IN THE D.C.S.M  OF THE P. H. N. S

ü        Dr AUGUSTIN YEKEL - SENIOR LECTURER IN THE D.C.S.M  OF THE P. H. N. S

 

THE CANDIDATE

MFEGUE GUY PHILIPPE

 

 

ABSTRACT

The conservation of the data on data-processing supports makes it possible to file the cognitive inheritance which one can then consult constantly to get information and discover new knowledge rising from varied associations of the existing data. The extraction of knowledge resulting from the data requires techniques such as the Data Mining and the Logic. This discovery of knowledge can involve a multipoint of sights analysis because of diversity of the experts and complexity of the fields.

 

The present thesis is devoted to the design and the realization of a system enabling knowledge discovery in a multi-media database (which integrates pictures, text, sound and video) comprising various points of view.

 

To put this approach into practice, we used as basis the MEDITRA Project initiated in the Faculty of Science of the University of Yaounde I in 1995. The focus point of that project is to collect and store knowledge on African traditional medicine, in order to place them at the disposal of the researchers and experts of the medical and pharmaceutical fields for exploitation. For that purpose, we have : firstly explored the work already done within the framework of the MEDITRA Project. Secondly, we modelled the system Meditra Software Manager to be carried out. This system must manage three databases in interaction: the database of the medicinal plants, that of the drugs and that of the diseases. Since the existing comprised only the first two databases, we had to model and implement the third database. Thirdly we worked out an original approach by fetching inspiration into the Multi-points of Sights Technique developed by the theory of Agents and Multi-Agents Systems according to MASSAGE 2. This approach proposes an architecture of the system, made up, in its general aspect, of three specialized layers and, in its functional aspect, of sights known as multiple,  offering various perceptions of the same system. Through the interrogation of the mining and databases, results and new knowledge are provided by the system, making it possible to meet various needs.

 

Key words : Knowledge Representation, Data Mining, Multi-media, Databases, knowledge of Authorware.

 

 

GENERAL INTRODUCTION

In a World where many diseases still constitute public health problems, the discovery of new therapies, the invention of drugs and top vaccines are the only weapons able to make it possible for mankind to take up this medical challenge. Since the active ingredients of the drugs derive from the plants and the chemical compounds, medical research rest mainly nowadays on the plants and polymers resulting from chemical laboratories.

 

In Cameroon and World-wide, the Medical Research pay particular attention to the plants known as medicinal and to the local pharmacopeia. However, at a given time, there was a problem of coordination of the research tasks, which started to find ways of solution through projects of follow-up and rationalization of medical research such as the MEDITRA project initiated at the Faculty of Science of the University of Yaounde I in 1995. Works consequently were undertaken in this groundwork like those having made it possible to produce two applications called SYGPLAM (Medicinal Plants Management System) and POSOFT (Potions Software); The first application manages a medicinal plants database whereas the second ensures the management of the drugs resulting from these plants. For a better coordination of the efforts of research and an optimization of the results already obtained, the need to centralize all these assets was felt, thus constituting the object of our work.

 

Indeed, our contribution to the MEDITRA project consists in designing and carrying out a system enabling knowledge discovery in a multi-media database using the Multipoint of Sights approach by the means of the Multi-agents. In other words, we bring our stone to improving, completing and federating the above-mentioned systems and applications related to the medical research using the techniques of the Artificial Intelligence coupled to those of the Multi-media Databases.

 

The work presented in this thesis is organized in five (05) chapters. Chapter I presents the existing. Chapter II is devoted to the review of the concepts essential to our topic and which are Representation of Knowledge, Data Mining, Multi-media Databases, Multi-agents Systems and Multipoint of Sights. The third chapter allows, under the light of the preceding concepts, to circumscribe, in its first part, the problems to which the awaited results will be used as solution; the second and third parts of the same chapter will relate to the conceptual analysis and the modeling of the system to be realized, which includes the application named SYGMA (Diseases Management System , one of the subsystems of the system to be realized, in charge to manage the diseases). In chapter IV, we will consider a proposal for an architecture. The chapter V will relate to the putting into practice. By concluding this work, we will certainly recall the problem arising, the stages of study and the stage of realization to which we arrived, but also we will forecast axes of continuation and finalization of the system conceived and partially carried out, and we will make proposals for an orientation of medical research in order to make it benefit from the opportunities offered by the unceasingly influence that Computer Science is exerting on many human activity branches.

 

 

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