Objective
WS-Talk addresses an interface layer that combines natural language processing capabilities with well-established web service standards, to provide a simple and flexible way to maintain populations of web services. We want to help users and developers to create re-usable and flexible components. In turn, this will facilitate construction of ad-hoc micro applications (or rapid prototypes). We propose a web service wrapper that enhances XML-based interfaces with features for free-text interchange. Through its structured as well as natural- language interface, WS-Talk services can be implemented by both the software developers and the technology end-users. WS-Talk enables far more domain-related, rather than technology-related, competence to be availed of directly in the design of web services-based applications. The idea of this project was also born out of the current web service standard specification mess that hampers the evolution of this, in principal, promising technology. WS-Talk fosters broad take-up of web service technology and awareness of its potential among SME technology providers and technology consumers. The resulting wrapper, WS-Talk, helps to establish interoperable web services across platforms. Much in the vision of JXTA a web service announces its service context through advertisements in domain talk defined by its user community. The non-standardised part reflects the enterprise talk, the well-established way for an enterprise to describe its business processes. To ensure that the advertisements are machine- processable we apply robust text mining methods that map advertisement content into a suitable controlled vocabulary. Our approach fosters quick ad-hoc solutions for a small network of peer-organisations. The advertisements cooperate with the transport level of well-established web service standards.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencescomputer and information sciencesknowledge engineeringontology
- natural sciencescomputer and information sciencesdata sciencenatural language processing
- natural sciencescomputer and information sciencessoftwaresoftware development
- natural sciencescomputer and information sciencesinternetsemantic web
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Call for proposal
FP6-2002-SME-1
See other projects for this call
Funding Scheme
Cooperative - SMEs-Co-operative research contractsCoordinator
MÜNCHEN
Germany