Title :
Autonomous Matchmaking Web Services
Author :
Yu, Hong Qing ; Dietze, Stefan ; Benn, Neil
Author_Institution :
Knowledge Media Inst., Open Univ., Milton Keynes, UK
Abstract :
Current Semantic Web Services research investigates how to dynamically discover assemble and invoke Web services. Despite many research efforts, Semantic Web Services are still not fully recognized in industry. One important reason is the dissevered description layers of syntax and semantics. In other words, semantics is only useful for a service broker to discover services whereas service requesters still need to invoke services based on syntactic descriptions. In this paper, we view semantics from another angle to reform the Web service framework completely (even for input messages and output messages during invocation) by using only RDF and Linked Open Data. We introduce Autonomous Matchmaking Web Services in which Web services are brokering themselves to notify the service registry whether they are suitable to the requesters. This framework is designated to more efficiently work for dynamically assembling services at run time in a massively distributed environment.
Keywords :
Web services; open systems; pattern matching; semantic Web; Linked Open Data; RDF; autonomous matchmaking Web service; distributed environment; dynamically assembling service; semantic Web; syntactic descriptions; Moment methods; Resource description framework; Semantics; Standards; Syntactics; Web services; Autonomous Matchmaking; Linked Open Data; RDF; Semantic Web; Web services;
Conference_Titel :
Computer Information Systems and Industrial Management Applications (CISIM), 2010 International Conference on
Conference_Location :
Krackow
Print_ISBN :
978-1-4244-7817-0
DOI :
10.1109/CISIM.2010.5643504