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In this paper, we introduce a distance-based approach for measuring the semantic dissimilarity between two concepts in a knowledge graph. The proposed Normalized Semantic Web Distance (NSWD) extends the idea of the Normalized Web Distance, which is utilized to determine the dissimilarity between two textural terms, and utilizes additional semantic properties of nodes in a knowledge graph. We evaluate...
Computer-mediated learning needs to be social too. Interactivity is a central construct for collaborative knowledge construction in online communities. We present an operationalized framework for measuring interactivity in online discussions, based on our view of interactivity as a socio-constructivist process. We hypothesize that the traditional design for online discussion platforms, with linear,...
Context-based query processing methods are used to capture user intents behind query inputs. General context models are not flexible or explicable enough for inference, because they are either static or implicit. This paper improves current context model and proposes a novel query processing approach based on associated semantic context inference. In our approach, the formal defined context is explicit,...
Semantic Sensor Web is a progressive concept that would improve current Sensor Web model introducing a semantic layer in which the semantic or meaning of information is formally defined. Semantic environment allows a novel approach for interoperability among systems as well as new perspectives for computation (e.g. Ontology-driven and Ontology-aware). One of the central and key issues for the concrete...
Integrated information systems, such as ERP systems, have been proven to provide significant benefits for organisations in processing transactional data. In many unstructured processes similar improvements have not yet been established. We illustrate the concept of knowledge composition, which focuses on the rich and context-dependent nature of knowledge. Based on this theoretical background, we propose...
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