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Communication Dans Un Congrès Année : 2014

Capability annotation of actions based on their textual descriptions

Résumé

Current approaches for semantic management of business processes and services assume and build on semantic models which don't exist in practice. A key and open research problem is how to lift semantic models from existing process and service descriptions. In this paper, we are interested in extracting action capabilities from their textual descriptions. We first introduce a semantic frame-based capability model that features domain-specific functional properties. We present an approach for retrieving top-k capabilities that match best a natural language description of an action. Our approach has been evaluated using publicly available process and service descriptions
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Dates et versions

hal-01262479 , version 1 (26-01-2016)

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Feng Gao, Sami Bhiri. Capability annotation of actions based on their textual descriptions. WETICE 2014 : 23th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, Jun 2014, Parme, Italy. pp.257 - 262, ⟨10.1109/WETICE.2014.68⟩. ⟨hal-01262479⟩
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