The Tomaco Hybrid Matching Framework for SAWSDL Semantic Web Services
This addresses the problem of efficient and user-friendly Web Service discovery for developers and users in the Semantic Web domain, but it is incremental as it builds on existing concepts.
The paper tackles Web Service retrieval by introducing the Tomaco hybrid matching algorithm for SAWSDL, which combines logic-based and text-similarity measures, and evaluation shows it ranks high among state-of-the-art, especially for early recall levels. It also presents the Tomaco web application to promote adoption of Semantic Web Service technologies by integrating configurable algorithms and serving as a service registry.
This work aims to resolve issues related to Web Service retrieval, also known as Service Selection, Discovery or essentially Matching, in two directions. Firstly, a novel matching algorithm for SAWSDL is introduced. The algorithm is hybrid in nature, combining novel and known concepts, such as a logic-based strategy and syntactic text-similarity measures on semantic annotations and textual descriptions. A plugin for the S3 contest environment was developed, in order to position Tomaco amongst state-of-the-art in an objective, reproducible manner. Evaluation showed that Tomaco ranks high amongst state of the art, especially for early recall levels. Secondly, this work introduces the Tomaco web application, which aims to accelerate the wide-spread adoption of Semantic Web Service technologies and algorithms while targeting the lack of user-friendly applications in this field. Tomaco integrates a variety of configurable matching algorithms proposed in this paper. It, finally, allows discovery of both existing and user-contributed service collections and ontologies, serving also as a service registry.