119 research outputs found

    SGSDesigner, the ODESGS Environment User Interface

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    In this demo, we will show SGSDesigner, the ODESGS Environment user interface. ODESGS Environment (the realization of the ODESGS Framework [1]) is an environment for supporting both a) the annotation of pre-existing Grid Services(GSs) and b) the design of new complex Semantic Grid Services(SGSs) in a (semi) automatic way. In the demo we will focus in the annotation of a WSRF GS, using the annotation process proposed by the ODESGS Framework

    A Framework for Design and Composition of Semantic Web Services

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    Semantic Web Services (SWS) are Web Services (WS) whose description is semantically enhanced with markup languages (e.g., OWL-S). This semantic description will enable external agents and programs to discover, compose and invoke SWSs. However, as a previous step to the specification of SWSs in a language, it must be designed at a conceptual level to guarantee its correctness and avoid inconsistencies among its internal components. In this paper, we present a framework for design and (semi) automatic composition of SWSs at a language-independent and knowledge level. This framework is based on a stack of ontologies that (1) describe the different parts of a SWS; and (2) contain a set of axioms that are really design rules to be verified by the ontology instances. Based on these ontologies, design and composition of SWSs can be viewed as the correct instantiation of the ontologies themselves. Once these instances have been created they will be exported to SWS languages such as OWL-S

    SWSDesigner: The Graphical Interface of ODESWS

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    ODESWS is a development environment to design Semantic Web Services (SWS) at the knowledge level. ODESWS describe the service following a problem-solving approach in which the SWS are modelled using tasks, to represent the SWS functional features, and methods, to describe the SWS internal structure. In this paper, we describe the ODESWS graphical interface (called SWSDesinger). This interface enables users to design SWS independently of the semantic markup language in which the service will be implemented, and once the design has been export the service to an SWS implementation languag

    ODESWS, A Semantic Web Service Development

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    ODE SWS is a development environment to design Semantic Web Services (SWS) at the knowledge level. ODE SWS describe the service following a problem-solving approach in which the SWS are modeled using tasks, to represent the SWS functional features, and methods, to describe the SWS internal structure. In this paper, we describe the ODE SWS architecture and the capabilities of its graphical interface, which enables users to design SWS independently of the semantic markup language used to represent them

    SGSDesigner, a Graphical Interface for Annotating and Designing Semantic Grid Services

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    In this paper, we describe SGSDesigner, the ODESGS Environment user interface. ODESGS Environment (the realization of the ODESGS Framework [1]) is an environment for supporting both a) the annotation of pre-existing Grid Services (GSs) and b) the design of new complex Semantic Grid Services (SGSs) in a (semi) automatic way

    Improving a Satellite Mission System by means of a Semantic Grid Architecture

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    The use of a semantic grid architecture can make easier the deployment of complex applications, in which several organizations are involved and diverse resources are shared. This paper presents the application of the architecture defined in the Ontogrid project (S-OGSA) into a scenario for the analysis of the quality of the products of satellite missions

    ODEval: a Tool for Evaluating RDF(S), DAML+OIL, and OWL Concept Taxonomies

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    Ontologies implemented in RDF(S), DAML+OIL, and OWL should be evaluated from the point of view of knowledge representation before using them in Semantic Web applications. Several language-dependent ontology validation tools and ontology platforms, such as OilEd with FaCT, can be used in order to evaluate RDF(S), DAML+OIL and OWL ontologies. This paper offers two main contributions. The first of these exams whether previous ontology tools detect knowledge representation problems in RDF(S), DAML+OIL, and OWL concept taxonomies. Indeed, such tools do not focus on detecting inconsistencies and redundancies in concept taxonomies. The second contribution is ODEval, a language-dependent tool for evaluating, from the point of view of knowledge representation, concept taxonomies in ontologies implemented in such languages. ODEval complements previous ontology tools when we want to evaluate RDF(S), DAML+OIL, and OWL concept taxonomie

    A Semantic Data Grid for Satellite Mission Quality Analysis

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    The combination of Semantic Web and Grid technologies and architectures cases the development of applications that share heterogeneous resource,, (data and computing elements) that belong to several organisations. The Aerospace domain has an extensive and heterogeneous network of facilities and institutions, with a strong need to share both data and computational resources for complex processing tasks. One such task is monitoring and data analysis for Satellite Missions. This paper presents a Semantic Data Grid for satellite missions, where flexibility, scalability, interoperability, extensibility and efficient development have been considered the key issues to be addressed

    Infraestructura tecnológica de servicios semánticos para la Web Semántica

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    This project aims at creating a network of distributed interoperable semantic services for building more complex ones. These services will be available in semantic Web service libraries, so that they can be invoked by other systems (e.g., semantic portals, software agents, etc.). Thus, to accomplish this objective, the project proposes: a) To create specific technology for developing and composing Semantic Web Services. b) To migrate the WebODE ontology development workbench to this new distributed interoperable semantic service architecture. c) To develop new semantic services (ontology learning, ontology mappings, incremental ontology evaluation, and ontology evolution). d) To develop technological support that eases semantic portal interoperability, using Web services and Semantic Web Services. The project results will be open source, so as to improve their technological transfer. The quality of these results is ensured by a benchmarking process. Keywords: Ontologies and Semantic We
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