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Tuplespace-based computing for the Semantic Web: a survey of the state-of-the-art

Published online by Cambridge University Press:  01 June 2008

LYNDON J. B. NIXON ,
ELENA SIMPERL ,
RETO KRUMMENACHER  and
FRANCISCO MARTIN-RECUERDA
LYNDON J. B. NIXON
Affiliation:
Freie Universität Berlin, Berlin, Germany; e-mail: nixon@inf.fu-berlin.de
ELENA SIMPERL
Affiliation:
Digital Enterprise Research Institute (DERI), Universität Innsbruck, Innsbruck, Austria; e-mail: elena.simperl,reto.krummenacher@deri.at
RETO KRUMMENACHER
Affiliation:
Digital Enterprise Research Institute (DERI), Universität Innsbruck, Innsbruck, Austria; e-mail: elena.simperl,reto.krummenacher@deri.at
FRANCISCO MARTIN-RECUERDA
Affiliation:
Information Management Group (IMG), University of Manchester, Kilburn Building, Manchester, UK; e-mail: fmartin-recuerda@cs.man.ac.uk
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Abstract

Semantic technologies promise to solve many challenging problems of the present Web applications. As they achieve a feasible level of maturity, they become increasingly accepted in various business settings at enterprise level. By contrast, their usability in open environments such as the Web—with respect to issues such as scalability, dynamism and openness—still requires additional investigation. In particular, Semantic Web services have inherited the Web service communication model, which is primarily based on synchronous message exchange technology such as remote procedure call (RPC), thus being incompatible with the REST (REpresentational State Transfer) architectural model of the Web. Recent advances in the field of middleware propose ‘semantic tuplespace computing’ as an instrument for coping with this situation. Arguing that truly Web-compliant Web service communication should be based, analogously to the conventional Web, on shared access to persistently published data instead of message passing, space-based middleware introduces a coordination infrastructure by means of which services can exchange information in a time- and reference-decoupled manner. In this article, we introduce the most important approaches in this newly emerging field. Our objective is to analyze and compare the solutions proposed so far, thus giving an account of the current state-of-the-art, and identifying new directions of research and development.

Type
Research Article
Information
The Knowledge Engineering Review , Volume 23 , Issue 2 , June 2008 , pp. 181 - 212
Copyright
Copyright © Cambridge University Press 2008

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