2008
DOI: 10.1007/978-3-540-69534-9_33
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A Flexible and Semantic-Aware Publication Infrastructure for Web Services

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Cited by 6 publications
(5 citation statements)
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“…Subscriptions (and unsubscriptions) can be issued dynamically and thus each party can accommodate and tailor its interests (i.e., those of its users) while in operation. The approach introduced in this paper improves and validates the solution discussed in [8].…”
Section: Introductionsupporting
confidence: 57%
“…Subscriptions (and unsubscriptions) can be issued dynamically and thus each party can accommodate and tailor its interests (i.e., those of its users) while in operation. The approach introduced in this paper improves and validates the solution discussed in [8].…”
Section: Introductionsupporting
confidence: 57%
“…The extensibility of USQL was also exercised in a preliminary effort to support the expression of requirements towards the behavior of composite services, as reported in [29]. It is also worth mentioning that, besides its reference implementation in Proteus, USQL was also adopted by two other proposed frameworks for semantically enhanced web service publication and discovery, namely PYRAMID-S [17] and DIRE [16].…”
Section: Discussionmentioning
confidence: 99%
“…However, such approaches mainly focus on support for the evaluation of functional search criteria, they are constrained to specific types of service brokers, and generally lack flexibility. Other efforts have tackled the challenge of multi-dimensional query evaluation [14,15], or the heterogeneity in service discovery mechanisms [16,17]. Even though the proposed system architectures are characterized by flexibility, they exclusively support the discovery of web services and thus their solution is not applicable to other types of services.…”
Section: Related Workmentioning
confidence: 99%
“…The training set used by the authors was taken from www.xmethods.net, and it consisted of the values of four non-functional parameters of different Web services. There are proposals that combine different approaches, that is the case in [14], which combines the URBE architecture (UDDI Registry By Example) and DIRE (Distributed Registry). To perform the semantic matching they used URBE, because it has an engine of similarity.…”
Section: Related Workmentioning
confidence: 99%