Rafael González-Cabero

ODE SWS: a framework for designing and composing semantic Web services

Specifying semantic Web services requires designing the semantic description at a conceptual level to guarantee its correctness and avoid inconsistencies. We present a framework for designing and composing semantic Web services at the knowledge level in a language-independent manner. We base our framework on a stack of ontologies that explicitly describes different semantic Web services features, and on the assumption that the semantic Web services are modeled as problem-solving methods (PSMs) that describe the services internal structure.

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

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 taxonomies.

Development of Semantic Web Services at the Knowledge Level

Web Services are interfaces to a collection of operations that are network-accessible through standardized XML messaging, and whose features are described using standard XML-based languages. Semantic Web Services (SWS) describe semantically the internal structure and the functional/non-functional capabilities of the services, facilitating the design and evaluation of SWSs based on that semantic description of the features of the services. To enable users to design and compose SWSs at the knowledge level, the ODE SWS framework has been proposed. That framework uses problem-solving methods to describe the functional and structural features of the SWSs. In this work, we present a description of the ODE SWS environment as an implementation of the ODE SWS framework. Specially, we focus on the description of the capabilities of the SWSDesigner, the tool of the ODE SWS environment that enables users to design graphically SWSs through different but complementary views of the services.

Performance assessment of an architecture with adaptative interfaces for people with special needs

People in industrial societies carry more and more portable electronic devices (e.g., smartphone or console) with some kind of wireless connectivity support. Interaction with auto-discovered target devices present in the environment (e.g., the air conditioning of a hotel) is not so easy since devices may provide inaccessible user interfaces (e.g., in a foreign language that the user cannot understand). Scalability for multiple concurrent users and response times are still problems in this domain. In this paper, we assess an interoperable architecture, which enables interaction between people with some kind of special need and their environment. The assessment, based on performance patterns and antipatterns, tries to detect performance issues and also tries to enhance the architecture design for improving system performance. As a result of the assessment, the initial design changed substantially. We refactorized the design according to the Fast Path pattern and The Ramp antipattern. Moreover, resources were correctly allocated. Finally, the required response time was fulfilled in all system scenarios. For a specific scenario, response time was reduced from 60 seconds to less than 6 seconds.

Complex Data-Intensive Systems and Semantic Grid: Applications in Satellite Missions

The use of a Semantic Grid architecture can ease the deployment of complex applications, in which several organizations are involved and where resources of diverse nature (data and computing elements) are shared. This is the situation in the Space domain, with a strong demand of computational resources inscribed in an extensive and heterogeneous network of facilities and institutions. This paper presents the S-OGSA architecture, defined in the Ontogrid project, as applied into a scenario for the overall monitoring and data analysis in a Satellite Mission currently in nominal operations. Flexibility, scalability, interoperability and use of a common framework for data sharing are the main advantages of a Semantic Grid implementation in Complex and dataintensive systems.

A semantic approach for designing Assistive Software Recommender systems

Assistive Software Recommender (ASR) systems in the context of interoperability architectures.Requirements and design of ASR systems.Implementation and deployment of an ASR system.We report the non-functional assessment of our ASR system: performance and scalability evaluation. Assistive Software offers a solution for people with disabilities to manage specialized hardware, devices or services. However, these users may have difficulties in selecting and installing Assistive Software in their devices for managing smart environments. This paper addresses the requirements of these kinds of systems and their design in the context of interoperability architectures. Our solution follows a semantic approach, for which ontologies are a key. The paper also presents an implementation of our design proposal, i.e., a real and usable system which is evaluated according to a set of functional and non-functional requirements here proposed.

A Semantic Data Grid for Satellite Mission Quality Analysis

The use of Semantic Grid architecture eases the development of complex, flexible applications, in which several organisations are involved and where resources of diverse nature (data and computing elements) are shared. This is the situation in the Space domain, with an extensive and heterogeneous network of facilities and institutions. There is a strong need to share both data and computational resources for complex processing tasks. One such is monitoring and data analysis for Satellite Missions and this paper presents the Satellite Mission Grid, built in the OntoGrid project as an alternative to the current systems used. Flexibility, scalability, interoperability, extensibility and efficient development were the main advantages found in using a common framework for data sharing and creating a Semantic Data Grid.

SGSDesigner: a graphical interface for annotating and designing semantic grid services

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.

ODEGSG framework, knowledge-based annotation and design of grid services

The convergence of the Semantic Web and Grid technologies has resulted in the Semantic Grid. The great effort devoted in by the Semantic Web community to achieve the semantic markup of Web services (what we call Semantic Web Services) has yielded many markup technologies and initiatives, from which the Semantic Grid technology should benefit as, in recent years, it has become Web service-oriented. Keeping this fact in mind, our first premise in this work is to reuse the ODESWS Framework for the Knowledge-based markup of Grid services. Initially ODESWS was developed to enable users to annotate, design, discover and compose Semantic Web Services at the Knowledge Level. But at present, if we want to reuse it for annotating Grid services, we should carry out a detailed study of the characteristics of Web services and Grid services and thus, we will learn where they differ and why. Only when this analysis is performed should we know how to extend our theoretical framework for describing Grid services. Finally, we present the ODESGS Framework, which is the result of having applied the extensions identified to the aforementioned Semantic Web Services description framework.

ODESGS framework, knowledge-based markup for semantic grid services

The convergence of the Semantic Web and Grid technologies has resulted in the Semantic Grid. The Semantic Grid should be service-oriented, as the Grid is, so the formal description of Grid Services (GS) turns to be a crucial issue. In this paper we present our approach for this issue. ODESGS Framework will enable the annotation of all the aspects of a GS and the design, discovery and composition Semantic Grid Services (SGS).