Title :
Capability Annotation of Actions Based on Their Textual Descriptions
Author :
Feng Gao ; Bhiri, Sami
Author_Institution :
INSIGHT, NUI Galway, Galway, Ireland
Abstract :
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 presentan 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.
Keywords :
business data processing; information retrieval; text analysis; action capability annotation; business services; domain-specific functional properties; natural language description; process description; semantic business process management; semantic frame-based capability model; semantic models; service description; textual description; top-k capabilities retrieval; Business; Feature extraction; Instruments; Natural languages; Ontologies; Pragmatics; Semantics; business process management; capability modelling; semantic annotation; semantic services;
Conference_Titel :
WETICE Conference (WETICE), 2014 IEEE 23rd International
Conference_Location :
Parma
DOI :
10.1109/WETICE.2014.68