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This paper proposes a new method for the automatic composition of semantic Web services. The proposed method consists in constructing a graph and then searching for a sub-graph of this graph, which will represent a candidate composition solution. First, the method constructs a directed acyclic graph, which represents the functional semantics of the Web services as well as the semantic dependency between...
This paper presents a new approach for the automatic composition of semantic Web services based on the AI planning graph technique. In the context of Web service composition we have extended the planning graph with the new concepts of service cluster and semantic similarity link and have adapted and enhanced an immune-inspired algorithm that ranks the composition solutions according to user preferences...
This paper presents a novel approach for semantic Web service composition based on the formalism of fluent calculus. We show how the planning capabilities of the fluent calculus can be used to automatically generate an abstract composition model. For describing Web service capabilities we have used an OWL-S ontology. Based on the OWL-S ontology semantics, we encode the Web service description in the...
The paper describes an unsupervised model for named entity classification into a large number of classes specified by an ontology. The framework is based on an extended model of hierarchical self-organizing maps. As being founded on an unsupervised neural network architecture, the framework can be applied to different languages and domains. Named entities extracted by mining a domain text corpus encode...
Web service composition facilitates the creation of new services out of existing ones, for satisfying a complex functionality. Automatic Web service composition is considered as one of the most promising features that can be realized by Web services. This paper presents a novel approach for semantic Web service composition based on the fluent calculus. We show how the planning capabilities of the...
Several frameworks for the semantic annotation of Web services have been proposed in order to enhance the processes of service discovery and composition. This paper presents SAWS, as a new tool for semantic annotation of web services with data and protocol semantics aiming the enhancement of the WSDL descriptions with semantic concepts provided by domain ontologies. The proposed tool combines string...
The paper describes an unsupervised framework for domain ontology enrichment based on mining domain text corpora. Specifically, we enrich the hierarchical backbone of an existing ontology, i.e. its taxonomy, with new domain-specific concepts. The framework is based on hierarchical self-organizing maps. Terms extracted by mining a text corpus encode contextual content information, in a distributional...
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