Identifying context to display correct data for the "interactive document"

Abstract

In this master thesis report I have explored the topics of context-aware computing, ontologies, semantic reasoning and case-based reasoning, and how we can apply (and possibly combine) these technologies in an engineering context. I have taken a look at two different formats for visualizing and representing knowledge: Interactive Documents and Knowledge Briefs (K-Briefs). I have investigated how we can combine the aforementioned technologies with these knowledge representation formats. I have also developed a simple application, the K-Brief Recommender, which is meant as a proof-of-concept application. The goal was to prove that we can use Lucene, an open-source search engine, to search in Knowledge Briefs that are stored in rich document formats. This application has been successful, and we can now use this search engine as a baseline for a potential case-based reasoning application, which might be combined with context-aware applications in the future.