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https://doi.org/10.1109/icws.2...
Article . 2009 . Peer-reviewed
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Integrating Abductive Logic Programming and Description Logics in a Dynamic Contracting Architecture

Authors: M. Alberti; M. Cattafi; CHESANI, FEDERICO; M. Gavanelli; E. Lamma; MONTALI, MARCO; MELLO, PAOLA; +1 Authors

Integrating Abductive Logic Programming and Description Logics in a Dynamic Contracting Architecture

Abstract

In Semantic Web technologies, searching for a service means to identify components that can potentially satisfy the user needs in terms of outputs and effects (discovery), and that, when invoked by the customer, can fruitfully interact with her (contracting). In this paper, we present an application framework that encompasses both the discovery and the contracting steps, in a unified search process. In particular, we accommodate service discovery by ontology-based reasoning, and contracting by automated reasoning about policies published in a formal language. To this purpose, we consider a formal approach grounded on Computational Logic, and Abductive Logic Programming in particular. We propose a framework, called SCIFF Reasoning Engine, able to establish, by ontological and abductive reasoning, if a semantic web service and a requester can fruitfully inter-operate, taking as input the behavioral interfaces of both the participants, and producing as output a sort of a contract.

Keywords

Services Composition; Principles of Services; Service-Oriented Architecture

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average