DC3K 2019 Abstracts

Short Papers
Short Papers
Paper Nr: 1
Title:

Methodology of Identifying Competence in Professional Mediated Communications Exchanges

Authors:

Merzouki Hocine, Nada Matta and Hassan Atifi
Abstract: The concept of competence generally refers to the knowledge, experiences, skills, attitudes, abilities and behaviour that enable effective action in a work environment. Since knowledge is linked to action, the part of an individual’s knowledge used and put to work every day, mixed with the organization’s knowledge, characterizes the competencies that allow a group of people to make complex tasks. The knowledge resides primarily in the heads of individuals, and in the interactions between these individuals who exchange and combine their knowledge through such media as documents, meetings, telephone conversations, or computerized communication networks, so as to create new knowledge. Many works focusing on the analyse of mediated interactions to different purposes exist. So, we use these works to propose a methodology of identifying competence in professional mediated communications exchanges.
Paper Nr: 2
Title:

Analysis of the Effects of Enterprise Social Software on Dyadic Ties in Dynamic Communication Networks
Authors:

Sebastian Schötteler and Heidi Schuhbauer
Abstract: Enterprise social software is progressively shaping contemporary intra-organizational communication networks and thus the information and knowledge flows within such organizations. Nevertheless, the precise effects of enterprise social software on intra-organizational communication networks have not yet been exhaustively researched. Thus, this research project contributes to the closing of this research gap by examining the intensity and type of impact enterprise social software has on dyadic ties within dynamic communication networks. To systematize this research, five hypotheses divided in two hypotheses groups have been proposed. The first hypotheses group serves to evaluate an assumed positive connection between the strength of a dyadic tie in a dynamic communication network and the intensity of enterprise social software usage in such a tie. The second hypotheses group serves to evaluate an assumed connection between the strength of a dyadic tie in a dynamic communication network and the type of enterprise social software used in such a tie. As this research project focuses on dyadic ties within dynamic communication networks, a longitudinal social network analysis approach is applied. This allows recording the configuration of the dyadic ties within an observed network across equidistant time intervals over a defined period of time. Dynamic communication networks are inherently statistically interdependent. Thus, the aforementioned approach is augmented by a dynamic social network model that is able to address these statistical particularities. Currently, a preliminary research project based on a dynamic communication network with 17 employees is being conducted. The goals of this preliminary research project are to refine the methodology and to gain first evidence for the proposed hypotheses. After the preliminary research project is completed, the main research project will be initiated. This research project is part of a cumulative dissertation. The main research area of this dissertation is the analysis of the influences information systems have on dynamic social networks.
Paper Nr: 3
Title:

A Systematic Approach to Keep Track of Knowledge from Cooperative Working Tools Enriched by Semantic Data
Authors:

Elamin Abderrahim, Nada Matta and Hassen Atiffi
Abstract: Learning from past experiences to avoid past errors and innovate is a strong need in today enterprises. Knowledge management methodologies was invented to provide this chance to industry. Nowadays, working processes and methods, even collaborative work are provided by information systems. Some existing approaches succeeded to integrate knowledge management into collaborative working tools ,but it still requires a significant amount of intervening to do a routine update and maintain, which represents an additional charge of work for the experts. In this paper we propose a systematic approach aiming at automatically capitalizing , sharing and keep track of knowledge using collaborative working tools like PLM, which reduces experts intervening. This approach could be enriched by knowledge extracted from other resources.
Paper Nr: 4
Title:

Towards a Knowledge-based Decision Support System for Source Water Protection
Authors:

Jérôme Cerutti, Irène Abi-Zeid, Luc Lamontagne, Roxane Lavoie and Manuel Rodriguez
Abstract: Maintaining high water quality is one of the major challenges of the 21st century. To address this issue, source water protection is one important step in the right direction. Protection implies the implementation of various actions in order to reduce the impacts of anthropogenic activities on water sources, meant for human consumption. However, acting on a territory requires compliance with a land-use planning framework that does not always coincide with water management boundaries. Consequently, many organizations, acting at various levels with different objectives and responsibilities, are often involved. Such a complex regulatory framework has therefore fostered fragmentation of the knowledge useful for decision-making. In this paper, we describe a doctoral research project that aims at designing a knowledge-based system (KBS) using Case-Based Reasoning (CBR) in Quebec (Canada). The system is meant to recommend actions to protect water sources based on past experiences structured into cases (problem→solution). It uses the similarities between a current problem needing a solution and previous experiences encountered by water stakeholders. By providing a shared knowledge of water protection actions, it is expected to contribute to the improvement and the maintenance of water quality and quantity. This project is divided into two phases. The first phase focuses on knowledge acquisition and structuration. Knowledge is gathered using a sequential mixed method approach include as online surveys, interviews and focus groups. The structuration process uses several approaches such as conceptual maps and coding analysis with NVivo, a qualitative data software analysis, in order to build a graph to structure the cases. The second phase focuses on the technical design, implementation and testing of the knowledge-based CBR system. This phase uses the structured cases in order to implement a case base within the KBS. Validation is carried out with participants recruited using an online survey.
Paper Nr: 5
Title:

OntoSAMSEI: Interactive Ontology Modeling for Supporting Simulation-based Training in Medicine
Authors:

Shadi Baghernezhad tabasi, Marie-Christine Rousset, Loïc Druette, Fabrice Jouanot and Celine Meurger
Abstract: Medical simulation is now a central thread in the fabric of medical education and as an integrative strategy to bridge theory to practice has been identified as a need in medical education in the future. Due to the recency of simulation-based training in medicine and the scarcity of available documentation and modelisation, current information retrieval and data mining approaches are not effective in understanding the context of simulation-based training content. The overall objectives of our research are to develop an interactive and incremental ontology modeling approach in order to model ill-defined domains such as some sub-domains related to pedagogy. we propose building an ontology for simulation-based medical education domain, called OntoSamsei. The main contribution includes a new tool to automatically generate pre-filled forms guided by the ontology in order to share the acquired knowledge with the domain experts, and collect new information from them to enrich the ontology.
Paper Nr: 6
Title:

Proposition of an Ontology-based Approach of Emotional Awareness in Collaborative Learning Environments
Authors:

Labidi Azza
Abstract: Collaborative learning environments bring together learners from different sociocultural contexts, around a common task. Besides, these environments are emotional places where learners frequently experience emotions and bring emotions that concern events from outside the learning environment. Moreover, learners express, handle and regulate their emotion differently according to the sociocultural context to which they belong. And as it was proven by empirical research studies, emotions can have important effects on students’ learning and achievement. Therefore, Detecting, understanding, handling and regulating the learner emotion and understanding their cultural differences is a key issue that need to be tackled to enhance collaborative learning.