International audience—A large set of Web services are nowadays available providing complementary content about: schedule of public transportation, description of touristic area, meteorological information, geocoding operations, etc. We present in this article a mobile-application prototype that mashups Web services to define custom touristic plans, i.e., takes into account tourist preferences (type of stay, interest) and constraints (duration, budget, locomotion modality). Moreover, the application considers real-time events (e.g., weather data or temporary unavailability of a touristic site) to adapt proposed schedules
International audienceWith the rapid evolution of Linked Open Data (LOD), researchers are exploiting it to solve particular problems such as semantic similarity assessment. Existing LOD-based semantic similarity approaches attach compared data (terms or concepts) to LOD resources to exploit their semantic descriptions and relationships with other resources and estimate the degree of overlap between resources. Current approaches suffer from two limitations: they focus on the analysis of links between resources and ignore the important taxonomic structure of concepts and categories used to describe resources. On the other hand, they do not exploit interlinks between LOD resources in order to enrich data used to compute the similarity score. In this paper, we overcome the above limitations by proposing a new LOD-based similarity measure based on the combination of ontological, classification and property dimensions of LOD resources
International audienceIn order to fulfill current customers requirements, companies and services providers need to supply a large panel of their products and services. This situation has led recently to the Mass Customizing Paradigm, meaning that products and services should be designed in such a way that makes it possible to deliver and adapt different configurations. The increasing number of services available on the Web, together with the heterogeneity of Web audiences, are among the main reasons that motivate the adoption of this paradigm to Web services technology.In this paper we describe a solution that allows automatic customization of Web services: a supplier configuration, published in a services repository, is automatically translated into another configuration better suited for fulfilling customers' needs
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