Knowledge management frameworks in software engineering:a mapping study

Abstract. Knowledge is an important resource that enables organizations to survive in an ever-changing environment. The basic conceptual structure that describes the processes of internal knowledge transfer and transformation is a knowledge management framework, which serves as a foundation for an effective knowledge management strategy. Software engineering processes have some inherent knowledge management in them, but the process alone does not adequately address knowledge management. The main research question was what kind of research has been done on knowledge management frameworks in software engineering. Three assisting research questions were formed to answer the main research question: What types of papers are being published? What are the keywords covered by the knowledge management framework publications? What types of scientific contributions have the publications made? This thesis used mapping study to get an overview into the research efforts made regarding knowledge management frameworks in software engineering. The study used 76 papers from the database of Institute of Electrical and Electronics Engineers (IEEE), which were examined and assigned to multiple categorization schemes, which included research type, keyword coverage, research context, contribution facet and the knowledge management framework type. These resulting categorisations were used to determine the answers to research questions and give insight into the efforts made on knowledge managements frameworks. The results suggest that the efforts on knowledge management frameworks have been consistent over the last 20 years with a peak that corresponds to the popularity trend of research on knowledge management. The publications have been emphasizing few key areas in each categorization scheme. The areas that lack publications are identified, which indicate a research gap

Event Extraction for Collective Knowledge in Multimedia Digital EcoSystem

International audienceEmerging technologies like Internet and Web services enable a new form of collaboration. An Internet based collaborative environment allows actors with similar profile or interest to publish and share multimedia content. This results in the availability of massive, distributed, heterogeneous and fast-moving streamed multimedia content. In addition, most of the data in the Web describes events associated to people, activities and locations. An event describing a situation might be initiated by a user, followed by a number of users within a specified time period. Extracting events from user contributed multimedia content in collaborative environments is challenging due to three reasons: 1) the content is heterogeneous in source, size and format; 2) users might use different vocabulary to describe the same event; 3) the collaboration environment contains non-events. In this paper, we have proposed an event extraction approach that will be used to build an event-based collective knowledge management framework that assists the retrieval of multimedia contents from various social media sources. This approach is accompanied by experimental results with future works