LabelTranslator: A Tool to Automatically Localize an Ontology

This demo proposal briefly presents LabelTranslator, a system that suggests translations of ontology labels, with the purpose of localizing ontologies. LabelTranslator takes as input an ontology whose labels are described in a source natural language and obtains the most probable translation of each ontology label into a target natural language.Our main contribution is the automatization of this process, which reduces human efforts to localize manually the ontology

ODESWS, A Semantic Web Service Development

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

SWSDesigner: The Graphical Interface of ODESWS

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

A Framework for Design and Composition of Semantic Web Services

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

Towntology & hydrOntology: Relationship between Urban and Hydrographic Features in the Geographic Information Domain

This article describes the relationship between Urban Civil Engineering and other domains, specifically the hydrographic domain. The process of building HydrOntology and the portion of the model relating to urban features are described. This ontology emerges with the intent of settling as a framework in the GI domain, very closely interrelating to Towntology

Searching for a Time Ontology for Semantic Web Applications

We present our experience on reusing time ontologies in Fund Finder, a semantic web application of the EU Esperonto project. On the one hand, we show a set of time ontologies implemented in different machine readable languages. Such ontologies are analyzed considering a series of features typical of time models (e.g., if they consider different granularities or different time zones). On the other hand, we present the specification of time modeling necessities for Fund Finder. Finally, we choose the ontology which fits best with the specifications

The integration of OntoClean in WebODE

Enterprises will only be interested in the use of ontologies if such ontologies are evaluated enough. Therefore, the development of ontology evaluation tools is a crucial matter. We have built the ODEClean module in the workbench for building ontologies named WebODE. ODEClean allows cleaning taxonomies following the OntoClean method, and WebODE provides technical support to the Methontology methodology for building ontologies. We approached the development of this module in two steps. Firstly, we have integrated the OntoClean method into the conceptualisation activity of Methontology. Secondly, we have designed and implemented ODEClean using a declarative approach for specifying the knowledge to be used on the evaluation. ODEClean uses: (a) the Top Level of Universals, (b) metaproperties based on philosophical notions, and (c) OntoClean evaluation axioms. The main advantage of this approach is that the system could easily allow the user relax or stress the evaluation of the taxonomy just selecting more or less meta-properties

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

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

Ideas for the Provision of Ontology Access in Grid Environments

Ontologies are the backbone of the Semantic Web. Current grid architectures do not consider their usage, and there are no protocols nor standards in the Grid community for dealing with them. Therefore, the provision of appropriate means for accessing, querying and using ontologies effectively is a key factor if we want to enrich the current grid with semantic technologies and to support progress towards the next generation Grid, that is, the Semantic Grid

Towards a Method to Conceptualize Domain Ontologies

This paper presents the suite of principles, designs criteria and verification process used in the knowledge conceptualization process of a consensuated domain ontology in the domain of chemicals. To achieve agreement between different development teams we propose the use of a common and shared conceptual model as starting point. To capture domain knowledge of a given domain and organize it in a shared and consensuated conceptual model, we recommend an approach that integrates the following intermediate representation techniques: Data Dictionary, Concepts Classification Trees, Tables of Instance Attributes, Table of Class Attributes, Table of Constants, Tables of Formulas, Attributes Classification Trees, and Tables of Instances. We also provide a set of guidelines to verify the knowledge gathered inside each intermediate representations and between intermediate representations