New PDF release: A Compositional Semantics for Multiple Focus

By Manfred Krifka, Austinlsaarbriicken

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Such models are enriched by imported ontological descriptions (on top of the figure) and are exploited for semi-automatically generating WSMO-compliant semantic (at the bottom of the figure): the ontology is derived from BP model, data model, and hypertext model; the Web Services capability description is derived from hypertext model; the choreography information is derived from BP model and hypertext model; the user goals are derived from the BP model. The merits of our solution were twofold: the rooting in the tradition of Software Engineering and the use of sophisticated, up-to-date Web Enginnering technology.

2 Problem Statement Managing and developing model transformations are error-prone and long lasting tasks. Since model transformations are a kind of metaprogramming, they require a deep knowledge of all the underlying modelling technology, which is, in most cases, quite hard to learn. Thus, it is beneficial to provide support with a solution that automates model transformation development and adjustment tasks. e. representing information about real world things in models) and problems of such automation solutions remain the same.

We introduced a loop over every shipment address associated to the incoming RosettaNet purchase order; inside the loop, a new shipment order for every different address is created, and each line item with that address is added to the new order; finally the order is closed, and the next address, if available, is processed. Discovery scenario. The Glue discovery engine employed in Phase II assumes that every Web Service description is statically available. In general, Glue assumes no dynamic dependencies between Web Service descriptions and the goal.

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A Compositional Semantics for Multiple Focus by Manfred Krifka, Austinlsaarbriicken


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