Cited By
View all- Gao FAli MCurry EMileo A(2017)Automated discovery and integration of semantic urban data streamsFuture Generation Computer Systems10.1016/j.future.2017.03.00276:C(561-581)Online publication date: 1-Nov-2017
Capability Annotation of Actions Based on Their Textual Descriptions
Authors: 
Feng Gao, Sami BhiriAuthors Info & Claims
Feng Gao, Sami BhiriAuthors Info & ClaimsPages 257 - 262
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.
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Information & Contributors
Information
Published In
June 2014
456 pages
ISBN:9781479942497
Publisher
IEEE Computer Society
United States
Publication History
Published: 23 June 2014
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Cited By
View all- Gao FAli MCurry EMileo A(2017)Automated discovery and integration of semantic urban data streamsFuture Generation Computer Systems10.1016/j.future.2017.03.00276:C(561-581)Online publication date: 1-Nov-2017