Auflistung nach Schlagwort "Forgetting"
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- Workshopbeitrag“I know who, but not how many!” – Forgetting in Collaborative Settings(Mensch und Computer 2016 - Tagungsband, 2016) Oemig, Christoph; Gross, TomForgetting is a natural mechanism that keeps our memory from overloading. In the past it had a large influence on the design of Human-Computer Interaction. Yet, its main focus was on single user tasks and systems. Collaborative settings introduce the secondary task of coordination which has to share the already scarce capacity of the working memory with the knowledge of the primary task. Secondary task knowledge is critical to a team’s success but stored subconsciously, i.e., it can be easily lost due to interruption or interference. Therefore, a solid understanding of forgetting in collaborative settings is expected to have strong implications on the design of collaborative systems. This paper presents our first steps towards the goal applying an exploratory experiment observing primary and secondary task knowledge in a shared task. The results show how secondary task knowledge finds its way to stay alive.
- ZeitschriftenartikelLETHE: Forgetting and Uniform Interpolation for Expressive Description Logics(KI - Künstliche Intelligenz: Vol. 34, No. 3, 2020) Koopmann, PatrickUniform interpolation and forgetting describe the task of projecting a given ontology into a user-specified vocabulary, that is, of computing a new ontology that only uses names from a specified set of names, while preserving all logical entailments that can be expressed with those names. This is useful for ontology analysis, ontology reuse and privacy. Lethe is a tool for performing uniform interpolation on ontologies in expressive description logics, and it can be used from the command line, using a graphical interface, and as a Java library. It furthermore implements methods for computing logical difference and performing abduction using uniform interpolation. We present the tool together with an evaluation on a varied corpus of realistic ontologies.