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Semantic Annotation and Tagging in the KP-LAB environment : mining the learning and knowledge dynamics

This paper introduces a system, named “Knowledge Practice Environment”, which focuses on innovative practices in knowledge creation and evolution. Design and implementation are based on the “trialogical” approach, an innovative pedagogical theory which aims at modelling collaborative knowledge-intensive activities around shared artefacts. In particular, this paper describes the design and development of the Semantic Annotation tool and the Tagging tool, which provide functionalities to create named relationships between object of activities, sticking comments to them and annotating them by free text tags, as well as tags from structured vocabularies. The amount of both ontology-driven and non-structured semantic data, collected during the process of explicating knowledge, allows to capture models of social intelligence behaviour and to outline the dual nature of shared categorization and subjectivity in constructing meaningful activities. Suggestions on how to frame and to analyze data with this dual focus are provided. Some applications of such analysis are discussed as a preliminary study both from the system and the user perspectives. Emergent research topics on annotations and tagging activities and knowledge mining are introduced as evidence of the potential and benefits of this approach.