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The Tomaco Hybrid Matching Framework for SAWSDL Semantic Web Services This work aims to advance Web Service retrieval, also known as Matching, in two directions. Firstly, it introduces a matching algorithm for SAWSDL, which adapts and extends known concepts with novel strategies. Effective logic-based and syntactic strategies are introduced and combined in a novel hybrid strategy, targeting an envisioned well-defined, real-world scenario for matching. The algorithm is evaluated in a universal environment for matching algorithms, SME2, in an objective, reproducible manner. Evaluation ranks Tomaco high amongst state of the art, especially for early recall levels (first in macroaveraging precision, up to 0.7 recall). Secondly, this work introduces the Tomaco webapplication, which aims to promote widespread adoption of Semantic Web Services while targeting the lack of user-friendly applications in this field, by integrating a variety of configurable matching algorithms proposed in this paper. It, finally, allows discovery of both existing and user-contributed servicecollections and ontologies, serving also as a service registry.