Dynamic Knowledge Capitalization through Annotation among Economic Intelligence Actors in a Collaborative Environment

The shift from industrial economy to knowledge economy in today's world has revolutionalized strategic planning in organizations as well as their problem solving approaches. The point of focus today is knowledge and service production with more emphasis been laid on knowledge capital. Many organizations are investing on tools that facilitate knowledge sharing among their employees and they are as well promoting and encouraging collaboration among their staff in order to build the organization's knowledge capital with the ultimate goal of creating a lasting competitive advantage for their organizations. One of the current leading approaches used for solving organization's decision problem is the Economic Intelligence (EI) approach which involves interactions among various actors called EI actors. These actors collaborate to ensure the overall success of the decision problem solving process. In the course of the collaboration, the actors express knowledge which could be capitalized for future reuse. In this paper, we propose in the first place, an annotation model for knowledge elicitation among EI actors. Because of the need to build a knowledge capital, we also propose a dynamic knowledge capitalisation approach for managing knowledge produced by the actors. Finally, the need to manage the interactions and the interdependencies among collaborating EI actors, led to our third proposition which constitute an awareness mechanism for group work management.Annotation, knowledge representation, knowledge capitalisation, economic intelligence, collaboration, knowledge exploitation, group awareness

Academic Scheduling Problem Made Easy Through Optimization Technique

The increase in the population of students in the higher institute of learning and crave for literacy has brought about the expansion of academic activities in our Universities. This has caused clashes in the use of limited available resources of each institution. In the past, ways have been sought to consider how the resources could be maximized, but to no avail. Sequel to this, this work aimed at developing an automated timetabling system which solved the problem faced in examinations scheduling. The optimization technique used was Genetic Algorithm (GA) for the scheduling. Automated exam invigilation timetabling system was developed and tested. A Faculty of Science in a reputable institution of learning in Nigeria was selected as a case study.  The use of GA was suitable for solving problem(s) such as, under-utilization of available resources, clashes in scheduled courses’ examination, faced by timetable scheduler, due to its optimization approach. GA is efficient for maximizing limited available resources. Considering the setbacks associated with the manual system of exam timetable construction, such as clashes of carry-over courses, insecurity of files, poor planning and waste of resources in terms of materials and time to effect correction on timetable: the automated system is more efficient with respect to resource optimization and online accessibility to generated timetable. Keywords: Academic Activities, Available Resources, Automated Timetabling System, Genetic Algorithm, Optimizatio

Une méthodologie de Knowledge Management appliquée au processus d'Intelligence Economique

National audienceThis dispensation is an era of knowledge explosion and its exploitation in any organization or institution is inevitably required if there would be attainment of progress in the competitive environment to which it belongs to. It is imperative to establish a system of organization, conservation, and transmission of existing system as well as to anticipate needs of new skills/knowledge. The goal of this study is to enable the preservation of knowledge in the various phases of the EI process by acquiring, organizing, integrating and preserving (capitalizing) such knowledge in order to exploit it in terms of re-use and distribution of knowledge.Actuellement, quelque soit l'organisation ou l'institution, celle-ci est inévitablement confrontée au problème de l'explosion de la masse de connaissances disponibles, mais surtout à son utilisation pour se développer et subsister dans son environnement. C'est désormais un impératif pour ces organisations d'établir un système pour conserver et transmettre les informations pertinentes aussi bien que pour anticiper des besoins en connaissances et compétences nouvelles. L'objectif de cette étude est de permettre la préservation des connaissances tout au long du processus d'Intelligence Economique par l'acquisition, l'organisation, l'intégration et la préservation de ces connaissances de manière à pouvoir mieux les exploiter, les réutiliser et les transférer

CPKMS: A Knowledge Management Repository For Community Pediatrics

There has been rapid advancement from data to information-to knowledge in the scope of medicine. Although knowledge management conceptual frameworks and models in medicine have been proposed, there is, however, the need for a knowledge management system to cater for the rural healthcare sector. The purpose of this paper is to capitalize medical knowledge in community pediatrics and make it available to medical users (nurses, community doctors and rural health workers) by identifying, capturing, representing and storing such medical knowledge for reuse and distribution. The study begins with brief theoretical background and then it presents a conceptual framework adapted for the implementation of a prototype. Keywords: Knowledge Management System; Community Pediatrics; Rural Healthcare;                                                        Medicine; Medical Knowledge

Dynamic Capitalization and Visualization Strategy in Collaborative Knowledge Management System for EI Process

Knowledge is attributed to human whose problem-solving behavior is subjective and complex. In today's knowledge economy, the need to manage knowledge produced by a community of actors cannot be overemphasized. This is due to the fact that actors possess some level of tacit knowledge which is generally difficult to articulate. Problem-solving requires searching and sharing of knowledge among a group of actors in a particular context. Knowledge expressed within the context of a problem resolution must be capitalized for future reuse. In this paper, an approach that permits dynamic capitalization of relevant and reliable actors' knowledge in solving decision problem following Economic Intelligence process is proposed. Knowledge annotation method and temporal attributes are used for handling the complexity in the communication among actors and in contextualizing expressed knowledge. A prototype is built to demonstrate the functionalities of a collaborative Knowledge Management system based on this approach. It is tested with sample cases and the result showed that dynamic capitalization leads to knowledge validation hence increasing reliability of captured knowledge for reuse. The system can be adapted to various domain

Evaluating the reinforcements efficiency of sawdust and corncob wastes in structural concrete: A comprehensive review

Sawdust (SD) and Corncob (CC) wastes possess up to 89.4% and 83.03% pozzolanic properties with a high impact on the mechanical properties required for high concrete strength reinforcement respectively. Applications of SD and CC wastes in concrete increased the concrete workability by 8.75% and 27.9% respectively. In addition, the use of SD in concrete eased its aggregates’ compatibility rate by 4.4%. The consistency of cement paste with corncob ash (CCA) decreased with an increase in the percentage of CCA included. In addition, the final and initial setting times of paste with sawdust ash (SDA) decreased by 28.2% and 20% with increasing use in the percentage of SDA included, while that of CC increased with an increase in the percentage of CC. The densities of SDA-concrete and CCA – concrete observed were from 300 to 1800kg/m3 and 1998 kg/m3 to 2302kg/m3, and these were classified as lightweight concrete. The review showed that CCA had a high potential for increasing the concrete compressive strength by 34.5%. The blending of CC waste with other admixtures was observed to have increased concrete’s tensile properties by 3.9%. CC waste possessed high potential for composite tensile property enhancement up to 68%. The CCA-concrete’s flexural strength observed was low; the blending of CC with other admixtures has increased the concrete’s flexural strength. SDW-Concrete suggested to high temperature showed an increase in compressive strength until 6000C is reached, after 6000C, there was a reduction in strength. The CCA reduced concrete’s modulus of elasticity by 27%. From the X–ray result, quartz (SiO2) shows an essential and main mineralogical content of CCA. The concrete’s rate of water absorption increased by 74% with the inclusion of SD. The ANN model is efficient and possesses good features for CCA and SD – concrete models. In conclusion, SD and CC wastes possess a good potential for the enhancement of structural concrete, which can be processed into types of cement and concrete composites

Dynamic Knowledge Capitalization through Annotation among Economic Intelligence Actors in a Collaborative Environment

International audienceThe shift from industrial economy to knowledge economy in today's world has revolutionalized strategic planning in organizations as well as their problem solving approaches. The point of focus today is knowledge and service production with more emphasis been laid on knowledge capital. Many organizations are investing on tools that facilitate knowledge sharing among their employees and they are as well promoting and encouraging collaboration among their staff in order to build the organization's knowledge capital with the ultimate goal of creating a lasting competitive advantage for their organizations. One of the current leading approaches used for solving organization's decision problem is the Economic Intelligence (EI) approach which involves interactions among various actors called EI actors. These actors collaborate to ensure the overall success of the decision problem solving process. In the course of the collaboration, the actors express knowledge which could be capitalized for future reuse. In this paper, we propose in the first place, an annotation model for knowledge elicitation among EI actors. Because of the need to build a knowledge capital, we also propose a dynamic knowledge capitalisation approach for managing knowledge produced by the actors. Finally, the need to manage the interactions and the interdependencies among collaborating EI actors, led to our third proposition which constitute an awareness mechanism for group work management

Dynamic Knowledge Capitalization through Annotation among Economic Intelligence Actors in a Collaborative Environment

International audienceThe shift from industrial economy to knowledge economy in today's world has revolutionalized strategic planning in organizations as well as their problem solving approaches. The point of focus today is knowledge and service production with more emphasis been laid on knowledge capital. Many organizations are investing on tools that facilitate knowledge sharing among their employees and they are as well promoting and encouraging collaboration among their staff in order to build the organization's knowledge capital with the ultimate goal of creating a lasting competitive advantage for their organizations. One of the current leading approaches used for solving organization's decision problem is the Economic Intelligence (EI) approach which involves interactions among various actors called EI actors. These actors collaborate to ensure the overall success of the decision problem solving process. In the course of the collaboration, the actors express knowledge which could be capitalized for future reuse. In this paper, we propose in the first place, an annotation model for knowledge elicitation among EI actors. Because of the need to build a knowledge capital, we also propose a dynamic knowledge capitalisation approach for managing knowledge produced by the actors. Finally, the need to manage the interactions and the interdependencies among collaborating EI actors, led to our third proposition which constitute an awareness mechanism for group work management

Representation of Knowledge Resource in the context of Economic Intelligence Systems

International audienceKnowledge representation is an essential criterion to capitalization of knowledge in organizations. There is need for organizations to employ strategic methods to ensure optimal innovation and effective decision making. Thus, Economic Intelligence proffers strategy to facilitate effective decision making through collection, treatment and use of relevant information for economic actors in decision making process. There are knowledge and information on actors and from required activities respectively that need be capitalized in order to aid resolution of related future decision problems. It is imperative to establish a system of organization, representation, storage and transmission of these knowledge resources. The goal of this study is to provide adaptable framework and user-centered knowledge model for the representation and exploitation of knowledge in the decision making projects of the Economic Intelligence process by acquiring, organizing, integrating and capitalizing such knowledge in order to exploit it for re-use and sharing

Knowledge Management in Economic Intelligence with Reasoning on Temporal Attributes

People have to make important decisions within a time frame. Hence, it is imperative to employ means or strategy to aid effective decision making. Consequently, Economic Intelligence (EI) has emerged as a field to aid strategic and timely decision making in an organization. In the course of attaining this goal: it is indispensable to be more optimistic towards provision for conservation of intellectual resource invested into the process of decision making. This intellectual resource is nothing else but the knowledge of the actors as well as that of the various processes for effecting decision making. Knowledge has been recognized as a strategic economic resource for enhancing productivity and a key for innovation in any organization or community. Thus, its adequate management with cognizance of its temporal properties is highly indispensable. Temporal properties of knowledge refer to the date and time (known as timestamp) such knowledge is created as well as the duration or interval between related knowledge. This paper focuses on the needs for a user-centered knowledge management approach as well as exploitation of associated temporal properties. Our perspective of knowledge is with respect to decision-problems projects in EI. Our hypothesis is that the possibility of reasoning about temporal properties in exploitation of knowledge in EI projects should foster timely decision making through generation of useful inferences from available and reusable knowledge for a new project