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WSMO-Lite and hRESTS: lightweight semantic annotations for Web services and RESTful APIs

Roman, Dumitru; Kopecký, Jacek; Vitvar, Tomas; Domingue, John and Fensel, Dieter (2015). WSMO-Lite and hRESTS: lightweight semantic annotations for Web services and RESTful APIs. Web Semantics, 31 pp. 39–58.

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DOI (Digital Object Identifier) Link: https://doi.org/10.1016/j.websem.2014.11.006
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Abstract

Service-oriented computing has brought special attention to service description, especially in connection with semantic technologies. The expected proliferation of publicly accessible services can benefit greatly from tool support and automation, both of which are the focus of Semantic Web Service (SWS) frameworks that especially address service discovery, composition and execution. As the first SWS standard, in 2007 the World Wide Web Consortium produced a lightweight bottom-up specification called SAWSDL for adding semantic annotations to WSDL service descriptions. Building on SAWSDL, this article presents WSMO-Lite, a lightweight ontology of Web service semantics that distinguishes four semantic aspects of services: function, behavior, information model, and nonfunctional properties, which together form a basis for semantic automation. With the WSMO-Lite ontology, SAWSDL descriptions enable semantic automation beyond simple input/output matchmaking that is supported by SAWSDL itself. Further, to broaden the reach of WSMO-Lite and SAWSDL tools to the increasingly common RESTful services, the article adds hRESTS and MicroWSMO, two HTML microformats that mirror WSDL and SAWSDL in the documentation of RESTful services, enabling combining RESTful services with WSDL-based ones in a single semantic framework. To demonstrate the feasibility and versatility of this approach, the article presents common algorithms for Web service discovery and composition adapted to WSMO-Lite.

Item Type: Journal Item
Copyright Holders: 2014 Elsevier B.V.
ISSN: 1570-8268
Keywords: WSMO-Lite; SAWSDL; web services; RESTful services
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 42526
Depositing User: Adam Jelley
Date Deposited: 20 Apr 2015 08:52
Last Modified: 04 Oct 2016 15:17
URI: http://oro.open.ac.uk/id/eprint/42526
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