We report on event recognition within the life logging application IYOUIT for the automatic creation of static diary-like Blogs. Based on the qualitative context histories produced by IYOUIT, we developed pragmatic event modeling and recognition techniques using technology available today. Our approach combines Description Logics with queries and rules to model event recognizers in terms of context ontologies and Allen's temporal interval algebra. We found the ability to efficiently compute Allen relations between events to be crucial for the performance and scalability of the whole approach. Therefore, we evaluate a set of modeling alternatives and give some practical guidance.