On learning context-aware rules to link RDF datasets

Integrating RDF datasets has become a relevant problem for both researchers and practitioners. In the literature, there are many genetic proposals that learn rules that allow to link the resources that refer to the same real-world entities, which is paramount to integrating the datasets. Unfortunately, they are context-unaware because they focus on the resources and their attributes but forget about their neighbours. This implies that they fall short in cases in which different resources have similar attributes but refer to different real-world entities or cases in which they have dissimilar attributes but refer to the same real-world entities. In this article, we present a proposal that learns context-aware rules that take into account both the attributes of the resources and their neighbours. We have conducted an extensive experimentation that proves that it outperforms the most advanced genetic proposal. Our conclusions were checked using statistically sound methods.Ministerio de Economía y Competitividad TIN2013-40848-RMinisterio de Economía y Competitividad TIN2016-75394-RJunta de Andalucía P18- RT-106

Metadata for Resource Description on Corporate Intranets

Since resource discovery has become a difficult and time-consuming task, some corporations are instituting metadata initiatives to alleviate these problems. This paper reports on an exploratory study of the metadata schemas supporting corporate intranets. The study consists of two parts; an examination of the metadata elements currently in use for corporate intranets and a comparison of these elements to the schema developed by the Dublin Core Metadata Initiative. Schemas were collected from ten such corporations and the aggregate data was examined to uncover what types of elements are likely to be important for resource description on a corporate intranet. The results found that thirteen of the fifteen metadata elements most commonly used by schemas in this study are supported by the Dublin Core. An additional 20 elements not supported by the Dublin Core were also found. These additional elements show how corporations can enhance the Dublin Core to meet the needs of their own intranet

Tratamiento semántico de los logs de un servidor usando RDF /

La investigación plantea el manejo semántico de los logs de un servidor Web usando RDF. Para lo cual se establece conocer RDF como formato de metadato, elaborar una propuesta de ontología de logs y cómo emplearla en el diseño de un sistema de información para la Web semántica, disponiendo de un servidor de la Universidad Autónoma de Bucaramanga. El trabajo inicia con el estudio del RDF, Web Semántica, ontología, repositorios y de algunas de sus aplicaciones, al mismo tiempo que se seleccionan logs del servidor unab.edu.co y, partiendo de una propuesta anterior, se emplea un método conocido para establecer el vocabulario y la ontología de los logs, que para la implementación hace con las herramientas de uso libre Protégé y Sesame y como repositorio al manejador de base de datos MySQL. Se llega al establecimiento del vocabulario y la ontología de los logs; planteamiento que presenta ventajas en su manejo sobre su antecesor y define un procedimiento para manejo de los logs en repositorios que son implementados con herramientas comunes y de uso libre

Collaborative urban information systems : a Web services approach

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Urban Studies and Planning, 2004.Includes bibliographical references (p. 181-186).(cont.) to encourage the interconnection of planning and mainstream information technology. We find that the PAMML framework can lower costs by leveraging mainstream technology, simplify the most basic data sharing activities, yet still allow organizations with different levels of technical sophistication to collaborate. PAMML captures the semantics of spatial planning problems, allowing them to be decomposed into fundamental information processing operations. Regarding user interfaces, we show that PAMML's structure allows multiple end user applications aimed towards different audiences to be easily built from the same core PAMML document.This thesis examines systemic problems with the way information is managed and processed in planning support systems. We find evidence of these problems when we attempt to: develop an analysis without spending most of the time gathering and organizing data sets; or build an analysis that can be re-run at low cost; or implement systems that interact collaboratively with those of other experts. This research starts with the hypothesis that these problems are related and systemic, and that a new paradigm of information management is needed if we can hope to address them effectively. The research is divided into two main sections. First, we develop a theory about how information flows within and across planning organizations, and use the MassGIS buildout analysis to understand how physical planning is done in a cross-jurisdictional, real-world setting. We find that modern organizations do are good at creating and disseminating information, but find it difficult to keep users' copies of published information up-to-date. Furthermore, the technology for building interactive front-ends to analytic models is poorly matched to user needs, and the technology for enabling cross-organization collaborative analysis is non-existent. In the second part of the thesis, we re-architect the information framework, guided by our new theoretical foundation and findings from practice. This new framework is based on Web services, an emerging technology for connecting information systems across organizations. It is called the Planning Analysis and Modeling Markup Language framework, or PAMML, consisting of an information processing vocabulary expressed in XML Schema, Web services based on the schema, and guidance on how to best use the frameworkby Raj R. Singh.Ph.D