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Astract: This paper presents SemAnt, a distributed content-based routing algorithm based on the Ant Colony Optimization meta-heuristic and adapted for deployment in peer-to-peer networks. Under the assumption that the shared content in the network is annotated according to a taxonomy, it is possible to determine the hierarchical relationships between queries, and to exploit this information to improve the routing process. The experimental results presented in this paper show that the performance of content-based peer-to-peer search is highly dependent on the content distribution in the network and on the network's topology. It can be improved by exploiting the information provided by the underlying taxonomy. The degree of improvement is proportional to the degree of coherence in the content distribution.

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Astract: Aspect-orientation provides a new way of modularization by clearly separating crosscutting concerns from non-crosscutting ones. While aspect-orientation originally has emerged at the programming level, it now stretches also over other development phases. There are, for example, already several proposals to Aspect-Oriented Modeling (AOM), most of them pursuing distinguished goals, providing different concepts as well as notations, and showing various levels of maturity. Consequently, there is an urgent need for both, academia and practice, to provide an in-depth survey, clearly identifying commonalities and differences between current AOM approaches. Existing surveys in this area focus more on comprehensibility with respect to development phases or evaluated approaches rather than on comparability at a fine-grained level. This paper tries to fill this gap. As a prerequisite for an in-depth evaluation, a conceptual reference model is presented, capturing the basic concepts of AOM and their interrelationships in terms of a UML class diagram. Based on this conceptual reference model, an evaluation framework has been designed by deriving a detailed and well-defined catalog of evaluation criteria. The actual evaluation by means of this criteria catalog and by employing a running example is done on the basis of a carefully selected set of eight AOM approaches, each of them having already reached a certain level of maturity. This per approach evaluation is complemented with an extensive report on lessons learned, summarizing the approaches´ strengths and shortcomings.

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Astract: Ontology and schema matching are well established techniques, which have been applied in various integration scenarios, e.g., web service composition and database integration. Consequently, matching tools enabling automatic matching of various kinds of schemas with various matching techniques are available. In the field of model-driven engineering, in contrast to schema and ontology integration, the in- tegration of modeling languages relies on manual tasks such as writing model trans- formation code, which is tedious and error-prone. Therefore, we propose the applica- tion of ontology and schema matching techniques for automatically exploring seman- tic correspondences between metamodels, which are currently the modeling language definitions of choice. The main focus of this paper is on reporting preliminary results and lessons learned by evaluating currently available ontology matching tools for their metamodel matching potential.

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Astract: Current model-driven Web Engineering approaches (such as OO-H, UWE or WebML) provide a set of methods and supporting tools for a systematic design and development of Web applications. Each method addresses different concerns using separate models (content, navigation, presentation, business logic, etc.), and provide model compilers that produce most of the logic and Web pages of the application from these models. However, these proposals also have some limitations, especially for exchanging models or representing further modeling concerns, such as architectural styles, technology independence, or distribution. A possible solution to these issues is provided by making model-driven Web Engineering proposals interoperate, being able to complement each other, and to exchange models between the different tools. MDWEnet is a recent initiative started by a small group of researchers working on model-driven Web Engineering (MDWE). Its goal is to improve current practices and tools for the model-driven development of Web applications for better interoperability. The proposal is based on the strengths of current model-driven Web Engineering methods, and the existing experience and knowledge in the field. This paper presents the background, motivation, scope, and objectives of MDWEnet. Furthermore, it reports on the MDWEnet results and achievements so far, and its future plan of actions.