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Publikationen
Hier finden Sie von Know-Center MitarbeiterInnen verfasste wissenschaftliche Publikationen
Jahr: 2016
Publikationstyp
AutorInnen: Yusuke Fukazawa
2016
Yusuke Fukazawa, Kröll Mark, Strohmaier M., Ota Jun
IR based Task-Model Learning: Automating the hierarchical structuring of tasks
Web Intelligence, IOS Press, IOS Press, 2016
Journal
Task-models concretize general requests to support users in real-world scenarios. In this paper, we present an IR based algorithm (IRTML) to automate the construction of hierarchically structured task-models. In contrast to other approaches, our algorithm is capable of assigning general tasks closer to the top and specific tasks closer to the bottom. Connections between tasks are established by extending Turney’s PMI-IR measure. To evaluate our algorithm, we manually created a ground truth in the health-care domain consisting of 14 domains. We compared the IRTML algorithm to three state-of-the-art algorithms to generate hierarchical structures, i.e. BiSection K-means, Formal Concept Analysis and Bottom-Up Clustering. Our results show that IRTML achieves a 25.9% taxonomic overlap with the ground truth, a 32.0% improvement over the compared algorithms.