Daniele Pirolandi

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We suggest soft constraints as a mean to parametrically represent and solve “weighted” Argumentation problems: different kinds of preference levels related to arguments, e.g. a score representing a “fuzziness”, a “cost” or a probability level of each argument, can be represented by choosing different semiring algebraic structures. The novel idea is to(More)
In this paper, we focus on the discovery process of Web Services (WSs) by basing the search on the similarities among the service requirements and candidate search results, in order to cope with over-constrained queries or to find satisfactory alternatives for user requirements. This discovery process needs to involve the so-called Soft Constraint(More)
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