Ontology Localization

In the context of the Semantic Web, resources on the net can be enriched by well-defined, machine-understandable metadata describing their associated conceptual meaning. These metadata consisting of natural language descriptions of concepts are the focus of the activity we describe in this chapter, namely, ontology localization. In the framework of the NeOn Methodology, ontology localization is defined as the activity of adapting an ontology to a particular language and culture. This adaptation mainly involves the translation of the natural language descriptions of the ontology from a source natural language to a target natural language, with the final objective of obtaining a multilingual ontology, that is, an ontology documented in several natural languages. The purpose of this chapter is to provide detailed and prescriptive methodological guidelines to support the performance of this activity.

Integración de SSN con una ontología de servicios

Los servicios en red que conocemos actualmente están basados en documentos y enlaces de hipertexto que los relacionan entre sí sin aportar verdadera información acerca de los contenidos que representan. Podría decirse que se trata de “una red diseñada por personas para ser interpretada por personas”. El objetivo principal de los últimos años es encaminar esta red hacia una web de conocimiento, en la que la información pueda ser interpretada por agentes computerizados de manera automática. Para llevar a cabo esta transformación es necesaria la utilización de nuevas tecnologías especialmente diseñadas para la descripción de contenidos como son las ontologías. Si bien las redes convencionales están evolucionando, no son las únicas que lo están haciendo. El rápido crecimiento de las redes de sensores y el importante aumento en el número de dispositivos conectados a internet, hace necesaria la incorporación de tecnologías de la web semántica a este tipo de redes. Para la realización de este Proyecto de Fin de Carrera se utilizará la ontología SSN, diseñada para la descripción semántica de sensores y las redes de las que forman parte con el fin de permitir una mejor interacción entre los dispositivos y los sistemas que hacen uso de ellos. El trabajo desarrollado a lo largo de este Proyecto de Fin de Carrera gira en torno a esta ontología, siendo el principal objetivo la generación semiautomática de código a partir de un modelo de sistemas descrito en función de las clases y propiedades proporcionadas por SSN. Para alcanzar este fin se dividirá el proyecto en varias partes. Primero se realizará un análisis de la ontología mencionada. A continuación se describirá un sistema simulado de sensores y por último se implementarán las aplicaciones para la generación automática de interfaces y la representación gráfica de los dispositivos del sistema a partir de la representación del éste en un fichero de tipo OWL. ABSTRACT. The web we know today is based on documents and hypertext links that relate these documents with each another, without providing consistent information about the contents they represent. It could be said that its a network designed by people to be used by people. The main goal of the last couple of years is to guide this network into a web of knowledge, where information can be automatically processed by machines. This transformation, requires the use of new technologies specially designed for content description such as ontologies. Nowadays, conventional networks are not the only type of networks evolving. The use of sensor networks and the number of sensor devices connected to the Internet is rapidly increasing, making the use the integration of semantic web technologies to this kind of networks completely necessary. The SSN ontology will be used for the development of this Final Degree Dissertation. This ontology was design to semantically describe sensors and the networks theyre part of, allowing a better interaction between devices and the systems that use them. The development carried through this Final Degree Dissertation revolves around this ontology and aims to achieve semiautomatic code generation starting from a system model described based on classes and properties provided by SSN. To reach this goal, de Dissertation will be divided in several parts. First, an analysis about the mentioned ontology will be made. Following this, a simulated sensor system will be described, and finally, the implementation of the applications will take place. One of these applications will automatically generate de interfaces and the other one will graphically represents the devices in the sensor system, making use of the system representation in an OWL file.

Procedimiento para la obtención de un modelo ontológico para representar la información contenida en bases de datos

El presente trabajo propone un procedimiento a través del cual un razonador evalúa la información de una base de datos y la clasifica de forma automática en conceptos, relaciones, roles y atributos. Esta clasificación se desarrolla mediante un procedimiento dividido en dos métodos: primero, un Algoritmo de migración el cual genera una ontología con los elementos del esquema relacional de la base de datos. El segundo método es la Estrategia de clasificación de la información, esta consiste en una serie de consultas SPARQL mediante las que se clasifica la información de la base de datos.---ABSTRACT---This paper proposes a method by which a reasoner evaluates information from a database and automatically classifies in concepts, relationships, roles and attributes. This classification is developed through a procedure divided into two methods: first, a migration algorithm which generates an ontology with elements of relational schema database. The second method is the strategy classification of information, this is a series of SPARQL queries through that classified using the information the database.

RDSZ: an approach for lossless RDF stream compression

In many applications (like social or sensor networks) the in- formation generated can be represented as a continuous stream of RDF items, where each item describes an application event (social network post, sensor measurement, etc). In this paper we focus on compressing RDF streams. In particular, we propose an approach for lossless RDF stream compression, named RDSZ (RDF Differential Stream compressor based on Zlib). This approach takes advantage of the structural similarities among items in a stream by combining a differential item encoding mechanism with the general purpose stream compressor Zlib. Empirical evaluation using several RDF stream datasets shows that this combi- nation produces gains in compression ratios with respect to using Zlib alone.

Ontology-driven legal support-system in air transport passenger domain

This paper aims to present a preliminary version of asupport-system in the air transport passenger domain. This system relies upon an underlying on-tological structure representing a normative framework to facilitatethe provision of contextualized relevant legal information.This information includes the pas-senger's rights and itenhances self-litigation and the decision-making process of passengers.Our contribution is based in the attempt of rendering a user-centric-legal informationgroundedon case-scenarios of the most pronounced incidents related to the consumer complaints in the EU.A number ofadvantages with re-spect to the current state-of-the-art services are discussed and a case study illu-strates a possible technological application.

Fast modularisation and aomic decomposition of ontologies using axiom dependency hypergraphs

In this paper we define the notion of an axiom dependency hypergraph, which explicitly represents how axioms are included into a module by the algorithm for computing locality-based modules. A locality-based module of an ontology corresponds to a set of connected nodes in the hypergraph, and atoms of an ontology to strongly connected components. Collapsing the strongly connected components into single nodes yields a condensed hypergraph that comprises a representation of the atomic decomposition of the ontology. To speed up the condensation of the hypergraph, we first reduce its size by collapsing the strongly connected components of its graph fragment employing a linear time graph algorithm. This approach helps to significantly reduce the time needed for computing the atomic decomposition of an ontology. We provide an experimental evaluation for computing the atomic decomposition of large biomedical ontologies. We also demonstrate a significant improvement in the time needed to extract locality-based modules from an axiom dependency hypergraph and its condensed version.

A Retrospective View of Software Maintenance and Reengineering Research.

As a summary of past, current, and future trends in software maintenance and reengineering research, we give in this editorial a retrospective look from the past 14 years to now. We provide insight on how software maintenance has evolved and on the most important research topics presented in the series of the European Conference on Software Maintenance and Reengineering.