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

De la recherche sociale d'information à la recherche collaborative d'information

International audienceIn this paper, we explain social information retrieval (SIR) and collaborative information retrieval (CIR). We see SIR as a way of knowing who to collaborate with in resolving an information problem while CIR entails the process of mutual understanding and solving of an information problem among collaborators. We are interested in the transition from SIR to CIR hence we developed a communication model to facilitate knowledge sharing during CIR

La collaboration dans la résolution de problème informationnel : application dans un projet d'intelligence économique

International audienceLa recherche d'information est un domaine qui évolue continuellement surtout avec la technologie de l'Internet. Les défis d'obtenir les informations pertinentes pour répondre aux besoins informationnels des utilisateurs augmentent proportionnellement à l'augmentation du volume d'informations. Aujourd'hui, le partage de connaissance et la collaboration sont des concepts en vogue. On trouve sur Internet plusieurs systèmes de partage de connaissance, systèmes de collaboration, systèmes de gestion de contenu. Nous pensons qu'un problème informationnel devrait pouvoir être mieux, plus rapidement et plus facilement résolu si l'approche de la recherche collaborative d'information (RCI) est utilisée. Dans ce papier, nous considérons la RCI par rapport à la gestion d'intelligence collective des usagers et le partage de connaissance dans une collaboration directe entre les acteurs impliqués dans la résolution d'un problème informationnel soit au niveau individuel ou organisationnel. Par la RCI, il s'agir de permettre la communication entre des acteurs pour partager des connaissances. Nous présentons une architecture pour le développement d'un environnement pour faciliter le partage de connaissance dans la recherche collaborative d'information

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

Collaborative knowledge creation and management in information retrieval

International audienceThe final goal of Information Retrieval (IR) is knowledge production. However, it has been argued that knowledge production is not an individual effort but a collaborative effort. Collaboration in information retrieval is geared towards knowledge sharing and creation of new knowledge by users. This paper discusses Collaborative Information Retrieval (CIR) and how it culminates to knowledge creation. It explains how created knowledge is organized and structured. It describes a functional architecture for the development of a CIR prototype called MECOCIR. Some of the features of the prototype are presented as well as how they facilitate collaborative knowledge exploitation. Knowledge creation is explained through the knowledge conversion/transformation processes proposed by Nonaka and CIR activities that facilitate these processes are high-lighted and discusse

Collaborative knowledge creation and management in information retrieval

International audienceThe final goal of Information Retrieval (IR) is knowledge production. However, it has been argued that knowledge production is not an individual effort but a collaborative effort. Collaboration in information retrieval is geared towards knowledge sharing and creation of new knowledge by users. This paper discusses Collaborative Information Retrieval (CIR) and how it culminates to knowledge creation. It explains how created knowledge is organized and structured. It describes a functional architecture for the development of a CIR prototype called MECOCIR. Some of the features of the prototype are presented as well as how they facilitate collaborative knowledge exploitation. Knowledge creation is explained through the knowledge conversion/transformation processes proposed by Nonaka and CIR activities that facilitate these processes are high-lighted and discusse

Collaborative Information Retrieval among Economic Intelligence Actors

International audienceIn this paper we present collaborative information retrieval (CIR) for decision making. We take Economic Intelligence (EI) as application domain and we propose an approach for managing CIR among actors in the domain. EI process has information as a central object. In EI, we consider the translation of a decision making problem to information search problem; retrieval of needed information and processing this information to determine indicators that can aid in decision making. All these stages require collaboration among the EI actors. There are two major factors that affect collaboration: collaboration technology and culture of openness. The question to be posed is how can we manage collaborative information retrieval among EI actors taking into consideration the technological and cultural constraints? In attempting to answer this question, we propose a framework and a model for facilitating and managing collaborative information retrieval among EI actors

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